Lediga jobb som Ingenjör inom maskinteknik hos Veritaz AB

• Senior Automation Engineer - 19542

  Arbetsgivare / Ort:Veritaz AB /

  Omfattning / Varaktighet:Tidsbegränsad anställning / 6 månader – upp till 12 månader

  Lönetyp: Fast och rörlig lön

  Ansök senast 17 oktober (5 dagar kvar)

  Publicerad: 2026-09-17

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

  Assignment Description

  We are looking for an experienced Industrial Automation Engineer / PLC Engineer to support production automation within a highly automated heavy-vehicle manufacturing environment in Södertälje.

  The role focuses on PLC programming, troubleshooting, commissioning, system modifications and production automation improvements. You will work closely with production teams and experienced automation specialists on ongoing development, rebuild and improvement projects.

  The customer primarily uses Siemens automation systems, while experience with other PLC platforms is also relevant. Experience with ABB or KUKA robotics is highly beneficial.

  What You Will Work On

  • Develop and modify PLC programs for production automation systems
  • Troubleshoot automation and control-system issues
  • Support commissioning and production start-up activities
  • Modify and improve existing automation systems
  • Support production development, rebuild and improvement projects
  • Work closely with machines, production systems and technical teams
  • Analyse and resolve technical problems in production
  • Support production-related IT and automation systems
  • Collaborate with automation specialists and production stakeholders
  • Contribute to reliable and robust automation solutions
  • Support robot programming when required, particularly ABB or KUKA

  What You Bring

  • Experience in industrial automation
  • Hands-on experience with PLC programming
  • Experience from manufacturing or production environments
  • Experience with Siemens PLC/automation systems is highly relevant
  • Experience with troubleshooting and technical problem-solving
  • Experience with commissioning or production support
  • Experience modifying and improving automation systems
  • Comfortable working hands-on with machines and production equipment
  • Structured, curious and solution-oriented approach
  • Good collaboration and communication skills

  
  

  Arbetslivserfarenhet

  • Automationsingenjör (krav)
  • maskin (krav)

  Arbetsgivare

  Veritaz AB
  

  Webbplats: https://www.veritaz.se/
  

  Ansökan

  Ansök senast 17 oktober (5 dagar kvar)

  Ansök här

  Visa mer

• Senior AI & Automation Engineer (Team) - 19795/19794

  Arbetsgivare / Ort:Veritaz AB /

  Omfattning / Varaktighet:Tidsbegränsad anställning / 6 månader – upp till 12 månader

  Lönetyp: Fast och rörlig lön

  Ansök senast 29 oktober (17 dagar kvar)

  Publicerad: 2026-09-29

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

  Role Summary

  An experienced AI & Automation Engineer is needed to make security operations faster, smarter and more consistent through production-grade automation and AI-assisted security workflows. The assignment spans security operations, identity and access management, vulnerability management, compliance and infrastructure security. The consultant will build secure, scalable automation capabilities and AI assistants that support security analysts while maintaining appropriate controls for privileged and high-risk actions.

  The role involves automating the full security incident lifecycle, including alert triage, enrichment, investigation, containment, remediation and evidence collection. Solutions will use Generative AI, LLMs/SLMs, RAG and agentic RAG patterns, vector search, tool calling, MCP/A2A, and LLMOps/GenAIOps practices. Controlled self-healing capabilities and human approval workflows will be incorporated where required.

  Key Responsibilities

  • Design, build and productionise security automation workflows across SecOps, IAM, vulnerability management, compliance and infrastructure security.
  • Automate alert triage, enrichment, investigation, containment, remediation and evidence collection.
  • Develop secure AI assistants and agents for security use cases using LLMs/SLMs, RAG, vector search, tool calling and agentic workflows.
  • Create reusable security playbooks supporting incident response, threat hunting, identity security and endpoint security.
  • Integrate security platforms through APIs, orchestration workflows, event-driven technologies and threat-intelligence integrations.
  • Implement infrastructure and security automation using Infrastructure as Code, policy-as-code and DevSecOps practices.
  • Develop CI/CD security controls, automated testing and secure deployment processes for automation and AI solutions.
  • Improve security observability through event correlation, anomaly detection, intelligent alert reduction and closed-loop response mechanisms.
  • Contribute to vulnerability and exposure management, security baseline implementation, compliance automation and Zero Trust initiatives.
  • Measure and improve operational outcomes, including MTTD, MTTR, false-positive reduction, automation coverage and analyst productivity.

  Technical Stack & Requirements

  • Programming and scripting: Python, PowerShell, REST APIs, JSON, YAML and KQL.
  • Microsoft security ecosystem: Microsoft Sentinel, Defender XDR, Entra ID, Purview, Security Copilot and Azure security services.
  • Automation and Infrastructure as Code: Ansible Automation Platform, Terraform, security/policy-as-code, Azure Functions and Logic Apps.
  • DevOps tooling: Git, GitHub, GitLab, GitHub Actions and Azure DevOps.
  • Service management and orchestration: ServiceNow SecOps/ITSM, CMDB, Flow Designer and IntegrationHub.
  • Security platforms: SIEM/SOAR, XDR/EDR, IAM/PAM, vulnerability management and threat-intelligence platforms.
  • Cloud-native and integration technologies: Docker, Kubernetes, event-driven technologies and API gateways.
  • AI operations: LLMOps/GenAIOps, AIOps, RAG/Agentic RAG, vector search and secure AI agent development.

  Qualifications & Experience

  The ideal consultant has at least 10 years of experience in Cybersecurity, Security Engineering, SecOps, Detection Engineering or Security Automation. Strong hands-on experience building enterprise security automation and integrating security platforms through APIs, workflows and orchestration is required. Candidates should have practical experience with Microsoft Security and SIEM/SOAR environments and a demonstrated ability to take automation or AI solutions from proof of concept through production deployment.

  A strong understanding of incident response, vulnerability management, IAM, cloud security and security controls is required. A bachelor's degree in Cybersecurity, Computer Science, Engineering, IT or equivalent professional experience is expected. Relevant Microsoft Security Operations, Cybersecurity Architect, Identity, Azure AI or Security certifications are advantageous, as are CISSP, CISM, GIAC, Security+, Red Hat Ansible and ServiceNow SecOps certifications. Experience with ITIL, Zero Trust, DevSecOps, AIOps, SRE and FinOps is preferred.

  Arbetslivserfarenhet

  • Automationsingenjör (krav)
  • maskin (krav)

  Arbetsgivare

  Veritaz AB
  

  Webbplats: https://www.veritaz.se/
  

  Ansökan

  Ansök senast 29 oktober (17 dagar kvar)

  Ansök här

  Visa mer

• Senior AI & Automation Engineer (Team) - 19795/19794

  Arbetsgivare / Ort:Veritaz AB /

  Omfattning / Varaktighet:Tidsbegränsad anställning / 6 månader – upp till 12 månader

  Lönetyp: Fast och rörlig lön

  Ansök senast 29 oktober (17 dagar kvar)

  Publicerad: 2026-09-29

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

  Role Summary

  An experienced AI & Automation Engineer is needed to make security operations faster, smarter and more consistent through production-grade automation and AI-assisted security workflows. The assignment spans security operations, identity and access management, vulnerability management, compliance and infrastructure security. The consultant will build secure, scalable automation capabilities and AI assistants that support security analysts while maintaining appropriate controls for privileged and high-risk actions.

  The role involves automating the full security incident lifecycle, including alert triage, enrichment, investigation, containment, remediation and evidence collection. Solutions will use Generative AI, LLMs/SLMs, RAG and agentic RAG patterns, vector search, tool calling, MCP/A2A, and LLMOps/GenAIOps practices. Controlled self-healing capabilities and human approval workflows will be incorporated where required.

  Key Responsibilities

  • Design, build and productionise security automation workflows across SecOps, IAM, vulnerability management, compliance and infrastructure security.
  • Automate alert triage, enrichment, investigation, containment, remediation and evidence collection.
  • Develop secure AI assistants and agents for security use cases using LLMs/SLMs, RAG, vector search, tool calling and agentic workflows.
  • Create reusable security playbooks supporting incident response, threat hunting, identity security and endpoint security.
  • Integrate security platforms through APIs, orchestration workflows, event-driven technologies and threat-intelligence integrations.
  • Implement infrastructure and security automation using Infrastructure as Code, policy-as-code and DevSecOps practices.
  • Develop CI/CD security controls, automated testing and secure deployment processes for automation and AI solutions.
  • Improve security observability through event correlation, anomaly detection, intelligent alert reduction and closed-loop response mechanisms.
  • Contribute to vulnerability and exposure management, security baseline implementation, compliance automation and Zero Trust initiatives.
  • Measure and improve operational outcomes, including MTTD, MTTR, false-positive reduction, automation coverage and analyst productivity.

  Technical Stack & Requirements

  • Programming and scripting: Python, PowerShell, REST APIs, JSON, YAML and KQL.
  • Microsoft security ecosystem: Microsoft Sentinel, Defender XDR, Entra ID, Purview, Security Copilot and Azure security services.
  • Automation and Infrastructure as Code: Ansible Automation Platform, Terraform, security/policy-as-code, Azure Functions and Logic Apps.
  • DevOps tooling: Git, GitHub, GitLab, GitHub Actions and Azure DevOps.
  • Service management and orchestration: ServiceNow SecOps/ITSM, CMDB, Flow Designer and IntegrationHub.
  • Security platforms: SIEM/SOAR, XDR/EDR, IAM/PAM, vulnerability management and threat-intelligence platforms.
  • Cloud-native and integration technologies: Docker, Kubernetes, event-driven technologies and API gateways.
  • AI operations: LLMOps/GenAIOps, AIOps, RAG/Agentic RAG, vector search and secure AI agent development.

  Qualifications & Experience

  The ideal consultant has at least 10 years of experience in Cybersecurity, Security Engineering, SecOps, Detection Engineering or Security Automation. Strong hands-on experience building enterprise security automation and integrating security platforms through APIs, workflows and orchestration is required. Candidates should have practical experience with Microsoft Security and SIEM/SOAR environments and a demonstrated ability to take automation or AI solutions from proof of concept through production deployment.

  A strong understanding of incident response, vulnerability management, IAM, cloud security and security controls is required. A bachelor's degree in Cybersecurity, Computer Science, Engineering, IT or equivalent professional experience is expected. Relevant Microsoft Security Operations, Cybersecurity Architect, Identity, Azure AI or Security certifications are advantageous, as are CISSP, CISM, GIAC, Security+, Red Hat Ansible and ServiceNow SecOps certifications. Experience with ITIL, Zero Trust, DevSecOps, AIOps, SRE and FinOps is preferred.

  Arbetslivserfarenhet

  • Automationsingenjör (krav)
  • maskin (krav)

  Arbetsgivare

  Veritaz AB
  

  Webbplats: https://www.veritaz.se/
  

  Ansökan

  Ansök senast 29 oktober (17 dagar kvar)

  Ansök här

  Visa mer

• Senior AI & Automation Engineer (Team) - 19795/19794

  Arbetsgivare / Ort:Veritaz AB /

  Omfattning / Varaktighet:Tidsbegränsad anställning / 6 månader – upp till 12 månader

  Lönetyp: Fast och rörlig lön

  Ansök senast 29 oktober (17 dagar kvar)

  Publicerad: 2026-09-29

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

  Role Summary

  An experienced AI & Automation Engineer is needed to make security operations faster, smarter and more consistent through production-grade automation and AI-assisted security workflows. The assignment spans security operations, identity and access management, vulnerability management, compliance and infrastructure security. The consultant will build secure, scalable automation capabilities and AI assistants that support security analysts while maintaining appropriate controls for privileged and high-risk actions.

  The role involves automating the full security incident lifecycle, including alert triage, enrichment, investigation, containment, remediation and evidence collection. Solutions will use Generative AI, LLMs/SLMs, RAG and agentic RAG patterns, vector search, tool calling, MCP/A2A, and LLMOps/GenAIOps practices. Controlled self-healing capabilities and human approval workflows will be incorporated where required.

  Key Responsibilities

  • Design, build and productionise security automation workflows across SecOps, IAM, vulnerability management, compliance and infrastructure security.
  • Automate alert triage, enrichment, investigation, containment, remediation and evidence collection.
  • Develop secure AI assistants and agents for security use cases using LLMs/SLMs, RAG, vector search, tool calling and agentic workflows.
  • Create reusable security playbooks supporting incident response, threat hunting, identity security and endpoint security.
  • Integrate security platforms through APIs, orchestration workflows, event-driven technologies and threat-intelligence integrations.
  • Implement infrastructure and security automation using Infrastructure as Code, policy-as-code and DevSecOps practices.
  • Develop CI/CD security controls, automated testing and secure deployment processes for automation and AI solutions.
  • Improve security observability through event correlation, anomaly detection, intelligent alert reduction and closed-loop response mechanisms.
  • Contribute to vulnerability and exposure management, security baseline implementation, compliance automation and Zero Trust initiatives.
  • Measure and improve operational outcomes, including MTTD, MTTR, false-positive reduction, automation coverage and analyst productivity.

  Technical Stack & Requirements

  • Programming and scripting: Python, PowerShell, REST APIs, JSON, YAML and KQL.
  • Microsoft security ecosystem: Microsoft Sentinel, Defender XDR, Entra ID, Purview, Security Copilot and Azure security services.
  • Automation and Infrastructure as Code: Ansible Automation Platform, Terraform, security/policy-as-code, Azure Functions and Logic Apps.
  • DevOps tooling: Git, GitHub, GitLab, GitHub Actions and Azure DevOps.
  • Service management and orchestration: ServiceNow SecOps/ITSM, CMDB, Flow Designer and IntegrationHub.
  • Security platforms: SIEM/SOAR, XDR/EDR, IAM/PAM, vulnerability management and threat-intelligence platforms.
  • Cloud-native and integration technologies: Docker, Kubernetes, event-driven technologies and API gateways.
  • AI operations: LLMOps/GenAIOps, AIOps, RAG/Agentic RAG, vector search and secure AI agent development.

  Qualifications & Experience

  The ideal consultant has at least 10 years of experience in Cybersecurity, Security Engineering, SecOps, Detection Engineering or Security Automation. Strong hands-on experience building enterprise security automation and integrating security platforms through APIs, workflows and orchestration is required. Candidates should have practical experience with Microsoft Security and SIEM/SOAR environments and a demonstrated ability to take automation or AI solutions from proof of concept through production deployment.

  A strong understanding of incident response, vulnerability management, IAM, cloud security and security controls is required. A bachelor's degree in Cybersecurity, Computer Science, Engineering, IT or equivalent professional experience is expected. Relevant Microsoft Security Operations, Cybersecurity Architect, Identity, Azure AI or Security certifications are advantageous, as are CISSP, CISM, GIAC, Security+, Red Hat Ansible and ServiceNow SecOps certifications. Experience with ITIL, Zero Trust, DevSecOps, AIOps, SRE and FinOps is preferred.

  Arbetslivserfarenhet

  • Automationsingenjör (krav)
  • maskin (krav)

  Arbetsgivare

  Veritaz AB
  

  Webbplats: https://www.veritaz.se/
  

  Ansökan

  Ansök senast 29 oktober (17 dagar kvar)

  Ansök här

  Visa mer

• Senior AI & Automation Engineer (Team) - 19795/19794

  Arbetsgivare / Ort:Veritaz AB /

  Omfattning / Varaktighet:Tidsbegränsad anställning / 6 månader – upp till 12 månader

  Lönetyp: Fast och rörlig lön

  Ansök senast 29 oktober (17 dagar kvar)

  Publicerad: 2026-09-29

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

  Role Summary

  An experienced AI & Automation Engineer is needed to make security operations faster, smarter and more consistent through production-grade automation and AI-assisted security workflows. The assignment spans security operations, identity and access management, vulnerability management, compliance and infrastructure security. The consultant will build secure, scalable automation capabilities and AI assistants that support security analysts while maintaining appropriate controls for privileged and high-risk actions.

  The role involves automating the full security incident lifecycle, including alert triage, enrichment, investigation, containment, remediation and evidence collection. Solutions will use Generative AI, LLMs/SLMs, RAG and agentic RAG patterns, vector search, tool calling, MCP/A2A, and LLMOps/GenAIOps practices. Controlled self-healing capabilities and human approval workflows will be incorporated where required.

  Key Responsibilities

  • Design, build and productionise security automation workflows across SecOps, IAM, vulnerability management, compliance and infrastructure security.
  • Automate alert triage, enrichment, investigation, containment, remediation and evidence collection.
  • Develop secure AI assistants and agents for security use cases using LLMs/SLMs, RAG, vector search, tool calling and agentic workflows.
  • Create reusable security playbooks supporting incident response, threat hunting, identity security and endpoint security.
  • Integrate security platforms through APIs, orchestration workflows, event-driven technologies and threat-intelligence integrations.
  • Implement infrastructure and security automation using Infrastructure as Code, policy-as-code and DevSecOps practices.
  • Develop CI/CD security controls, automated testing and secure deployment processes for automation and AI solutions.
  • Improve security observability through event correlation, anomaly detection, intelligent alert reduction and closed-loop response mechanisms.
  • Contribute to vulnerability and exposure management, security baseline implementation, compliance automation and Zero Trust initiatives.
  • Measure and improve operational outcomes, including MTTD, MTTR, false-positive reduction, automation coverage and analyst productivity.

  Technical Stack & Requirements

  • Programming and scripting: Python, PowerShell, REST APIs, JSON, YAML and KQL.
  • Microsoft security ecosystem: Microsoft Sentinel, Defender XDR, Entra ID, Purview, Security Copilot and Azure security services.
  • Automation and Infrastructure as Code: Ansible Automation Platform, Terraform, security/policy-as-code, Azure Functions and Logic Apps.
  • DevOps tooling: Git, GitHub, GitLab, GitHub Actions and Azure DevOps.
  • Service management and orchestration: ServiceNow SecOps/ITSM, CMDB, Flow Designer and IntegrationHub.
  • Security platforms: SIEM/SOAR, XDR/EDR, IAM/PAM, vulnerability management and threat-intelligence platforms.
  • Cloud-native and integration technologies: Docker, Kubernetes, event-driven technologies and API gateways.
  • AI operations: LLMOps/GenAIOps, AIOps, RAG/Agentic RAG, vector search and secure AI agent development.

  Qualifications & Experience

  The ideal consultant has at least 10 years of experience in Cybersecurity, Security Engineering, SecOps, Detection Engineering or Security Automation. Strong hands-on experience building enterprise security automation and integrating security platforms through APIs, workflows and orchestration is required. Candidates should have practical experience with Microsoft Security and SIEM/SOAR environments and a demonstrated ability to take automation or AI solutions from proof of concept through production deployment.

  A strong understanding of incident response, vulnerability management, IAM, cloud security and security controls is required. A bachelor's degree in Cybersecurity, Computer Science, Engineering, IT or equivalent professional experience is expected. Relevant Microsoft Security Operations, Cybersecurity Architect, Identity, Azure AI or Security certifications are advantageous, as are CISSP, CISM, GIAC, Security+, Red Hat Ansible and ServiceNow SecOps certifications. Experience with ITIL, Zero Trust, DevSecOps, AIOps, SRE and FinOps is preferred.

  Arbetslivserfarenhet

  • Automationsingenjör (krav)
  • maskin (krav)

  Arbetsgivare

  Veritaz AB
  

  Webbplats: https://www.veritaz.se/
  

  Ansökan

  Ansök senast 29 oktober (17 dagar kvar)

  Ansök här

  Visa mer

• Senior AI & Automation Engineer (Team) - 19795/19794

  Arbetsgivare / Ort:Veritaz AB /

  Omfattning / Varaktighet:Tidsbegränsad anställning / 6 månader – upp till 12 månader

  Lönetyp: Fast och rörlig lön

  Ansök senast 29 oktober (17 dagar kvar)

  Publicerad: 2026-09-29

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

  Role Summary

  An experienced AI & Automation Engineer is needed to make security operations faster, smarter and more consistent through production-grade automation and AI-assisted security workflows. The assignment spans security operations, identity and access management, vulnerability management, compliance and infrastructure security. The consultant will build secure, scalable automation capabilities and AI assistants that support security analysts while maintaining appropriate controls for privileged and high-risk actions.

  The role involves automating the full security incident lifecycle, including alert triage, enrichment, investigation, containment, remediation and evidence collection. Solutions will use Generative AI, LLMs/SLMs, RAG and agentic RAG patterns, vector search, tool calling, MCP/A2A, and LLMOps/GenAIOps practices. Controlled self-healing capabilities and human approval workflows will be incorporated where required.

  Key Responsibilities

  • Design, build and productionise security automation workflows across SecOps, IAM, vulnerability management, compliance and infrastructure security.
  • Automate alert triage, enrichment, investigation, containment, remediation and evidence collection.
  • Develop secure AI assistants and agents for security use cases using LLMs/SLMs, RAG, vector search, tool calling and agentic workflows.
  • Create reusable security playbooks supporting incident response, threat hunting, identity security and endpoint security.
  • Integrate security platforms through APIs, orchestration workflows, event-driven technologies and threat-intelligence integrations.
  • Implement infrastructure and security automation using Infrastructure as Code, policy-as-code and DevSecOps practices.
  • Develop CI/CD security controls, automated testing and secure deployment processes for automation and AI solutions.
  • Improve security observability through event correlation, anomaly detection, intelligent alert reduction and closed-loop response mechanisms.
  • Contribute to vulnerability and exposure management, security baseline implementation, compliance automation and Zero Trust initiatives.
  • Measure and improve operational outcomes, including MTTD, MTTR, false-positive reduction, automation coverage and analyst productivity.

  Technical Stack & Requirements

  • Programming and scripting: Python, PowerShell, REST APIs, JSON, YAML and KQL.
  • Microsoft security ecosystem: Microsoft Sentinel, Defender XDR, Entra ID, Purview, Security Copilot and Azure security services.
  • Automation and Infrastructure as Code: Ansible Automation Platform, Terraform, security/policy-as-code, Azure Functions and Logic Apps.
  • DevOps tooling: Git, GitHub, GitLab, GitHub Actions and Azure DevOps.
  • Service management and orchestration: ServiceNow SecOps/ITSM, CMDB, Flow Designer and IntegrationHub.
  • Security platforms: SIEM/SOAR, XDR/EDR, IAM/PAM, vulnerability management and threat-intelligence platforms.
  • Cloud-native and integration technologies: Docker, Kubernetes, event-driven technologies and API gateways.
  • AI operations: LLMOps/GenAIOps, AIOps, RAG/Agentic RAG, vector search and secure AI agent development.

  Qualifications & Experience

  The ideal consultant has at least 10 years of experience in Cybersecurity, Security Engineering, SecOps, Detection Engineering or Security Automation. Strong hands-on experience building enterprise security automation and integrating security platforms through APIs, workflows and orchestration is required. Candidates should have practical experience with Microsoft Security and SIEM/SOAR environments and a demonstrated ability to take automation or AI solutions from proof of concept through production deployment.

  A strong understanding of incident response, vulnerability management, IAM, cloud security and security controls is required. A bachelor's degree in Cybersecurity, Computer Science, Engineering, IT or equivalent professional experience is expected. Relevant Microsoft Security Operations, Cybersecurity Architect, Identity, Azure AI or Security certifications are advantageous, as are CISSP, CISM, GIAC, Security+, Red Hat Ansible and ServiceNow SecOps certifications. Experience with ITIL, Zero Trust, DevSecOps, AIOps, SRE and FinOps is preferred.

  Arbetslivserfarenhet

  • Automationsingenjör (krav)
  • maskin (krav)

  Arbetsgivare

  Veritaz AB
  

  Webbplats: https://www.veritaz.se/
  

  Ansökan

  Ansök senast 29 oktober (17 dagar kvar)

  Ansök här

  Visa mer

• Senior AI & Automation Engineer (Team) - 19795/19794

  Arbetsgivare / Ort:Veritaz AB /

  Omfattning / Varaktighet:Tidsbegränsad anställning / 6 månader – upp till 12 månader

  Lönetyp: Fast och rörlig lön

  Ansök senast 29 oktober (17 dagar kvar)

  Publicerad: 2026-09-29

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

  Role Summary

  An experienced AI & Automation Engineer is needed to make security operations faster, smarter and more consistent through production-grade automation and AI-assisted security workflows. The assignment spans security operations, identity and access management, vulnerability management, compliance and infrastructure security. The consultant will build secure, scalable automation capabilities and AI assistants that support security analysts while maintaining appropriate controls for privileged and high-risk actions.

  The role involves automating the full security incident lifecycle, including alert triage, enrichment, investigation, containment, remediation and evidence collection. Solutions will use Generative AI, LLMs/SLMs, RAG and agentic RAG patterns, vector search, tool calling, MCP/A2A, and LLMOps/GenAIOps practices. Controlled self-healing capabilities and human approval workflows will be incorporated where required.

  Key Responsibilities

  • Design, build and productionise security automation workflows across SecOps, IAM, vulnerability management, compliance and infrastructure security.
  • Automate alert triage, enrichment, investigation, containment, remediation and evidence collection.
  • Develop secure AI assistants and agents for security use cases using LLMs/SLMs, RAG, vector search, tool calling and agentic workflows.
  • Create reusable security playbooks supporting incident response, threat hunting, identity security and endpoint security.
  • Integrate security platforms through APIs, orchestration workflows, event-driven technologies and threat-intelligence integrations.
  • Implement infrastructure and security automation using Infrastructure as Code, policy-as-code and DevSecOps practices.
  • Develop CI/CD security controls, automated testing and secure deployment processes for automation and AI solutions.
  • Improve security observability through event correlation, anomaly detection, intelligent alert reduction and closed-loop response mechanisms.
  • Contribute to vulnerability and exposure management, security baseline implementation, compliance automation and Zero Trust initiatives.
  • Measure and improve operational outcomes, including MTTD, MTTR, false-positive reduction, automation coverage and analyst productivity.

  Technical Stack & Requirements

  • Programming and scripting: Python, PowerShell, REST APIs, JSON, YAML and KQL.
  • Microsoft security ecosystem: Microsoft Sentinel, Defender XDR, Entra ID, Purview, Security Copilot and Azure security services.
  • Automation and Infrastructure as Code: Ansible Automation Platform, Terraform, security/policy-as-code, Azure Functions and Logic Apps.
  • DevOps tooling: Git, GitHub, GitLab, GitHub Actions and Azure DevOps.
  • Service management and orchestration: ServiceNow SecOps/ITSM, CMDB, Flow Designer and IntegrationHub.
  • Security platforms: SIEM/SOAR, XDR/EDR, IAM/PAM, vulnerability management and threat-intelligence platforms.
  • Cloud-native and integration technologies: Docker, Kubernetes, event-driven technologies and API gateways.
  • AI operations: LLMOps/GenAIOps, AIOps, RAG/Agentic RAG, vector search and secure AI agent development.

  Qualifications & Experience

  The ideal consultant has at least 10 years of experience in Cybersecurity, Security Engineering, SecOps, Detection Engineering or Security Automation. Strong hands-on experience building enterprise security automation and integrating security platforms through APIs, workflows and orchestration is required. Candidates should have practical experience with Microsoft Security and SIEM/SOAR environments and a demonstrated ability to take automation or AI solutions from proof of concept through production deployment.

  A strong understanding of incident response, vulnerability management, IAM, cloud security and security controls is required. A bachelor's degree in Cybersecurity, Computer Science, Engineering, IT or equivalent professional experience is expected. Relevant Microsoft Security Operations, Cybersecurity Architect, Identity, Azure AI or Security certifications are advantageous, as are CISSP, CISM, GIAC, Security+, Red Hat Ansible and ServiceNow SecOps certifications. Experience with ITIL, Zero Trust, DevSecOps, AIOps, SRE and FinOps is preferred.

  Arbetslivserfarenhet

  • Automationsingenjör (krav)
  • maskin (krav)

  Arbetsgivare

  Veritaz AB
  

  Webbplats: https://www.veritaz.se/
  

  Ansökan

  Ansök senast 29 oktober (17 dagar kvar)

  Ansök här

  Visa mer

• Senior AI & Automation Engineer (Team) - 19795/19794

  Arbetsgivare / Ort:Veritaz AB /

  Omfattning / Varaktighet:Tidsbegränsad anställning / 6 månader – upp till 12 månader

  Lönetyp: Fast och rörlig lön

  Ansök senast 29 oktober (17 dagar kvar)

  Publicerad: 2026-09-29

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

  Role Summary

  An experienced AI & Automation Engineer is needed to make security operations faster, smarter and more consistent through production-grade automation and AI-assisted security workflows. The assignment spans security operations, identity and access management, vulnerability management, compliance and infrastructure security. The consultant will build secure, scalable automation capabilities and AI assistants that support security analysts while maintaining appropriate controls for privileged and high-risk actions.

  The role involves automating the full security incident lifecycle, including alert triage, enrichment, investigation, containment, remediation and evidence collection. Solutions will use Generative AI, LLMs/SLMs, RAG and agentic RAG patterns, vector search, tool calling, MCP/A2A, and LLMOps/GenAIOps practices. Controlled self-healing capabilities and human approval workflows will be incorporated where required.

  Key Responsibilities

  • Design, build and productionise security automation workflows across SecOps, IAM, vulnerability management, compliance and infrastructure security.
  • Automate alert triage, enrichment, investigation, containment, remediation and evidence collection.
  • Develop secure AI assistants and agents for security use cases using LLMs/SLMs, RAG, vector search, tool calling and agentic workflows.
  • Create reusable security playbooks supporting incident response, threat hunting, identity security and endpoint security.
  • Integrate security platforms through APIs, orchestration workflows, event-driven technologies and threat-intelligence integrations.
  • Implement infrastructure and security automation using Infrastructure as Code, policy-as-code and DevSecOps practices.
  • Develop CI/CD security controls, automated testing and secure deployment processes for automation and AI solutions.
  • Improve security observability through event correlation, anomaly detection, intelligent alert reduction and closed-loop response mechanisms.
  • Contribute to vulnerability and exposure management, security baseline implementation, compliance automation and Zero Trust initiatives.
  • Measure and improve operational outcomes, including MTTD, MTTR, false-positive reduction, automation coverage and analyst productivity.

  Technical Stack & Requirements

  • Programming and scripting: Python, PowerShell, REST APIs, JSON, YAML and KQL.
  • Microsoft security ecosystem: Microsoft Sentinel, Defender XDR, Entra ID, Purview, Security Copilot and Azure security services.
  • Automation and Infrastructure as Code: Ansible Automation Platform, Terraform, security/policy-as-code, Azure Functions and Logic Apps.
  • DevOps tooling: Git, GitHub, GitLab, GitHub Actions and Azure DevOps.
  • Service management and orchestration: ServiceNow SecOps/ITSM, CMDB, Flow Designer and IntegrationHub.
  • Security platforms: SIEM/SOAR, XDR/EDR, IAM/PAM, vulnerability management and threat-intelligence platforms.
  • Cloud-native and integration technologies: Docker, Kubernetes, event-driven technologies and API gateways.
  • AI operations: LLMOps/GenAIOps, AIOps, RAG/Agentic RAG, vector search and secure AI agent development.

  Qualifications & Experience

  The ideal consultant has at least 10 years of experience in Cybersecurity, Security Engineering, SecOps, Detection Engineering or Security Automation. Strong hands-on experience building enterprise security automation and integrating security platforms through APIs, workflows and orchestration is required. Candidates should have practical experience with Microsoft Security and SIEM/SOAR environments and a demonstrated ability to take automation or AI solutions from proof of concept through production deployment.

  A strong understanding of incident response, vulnerability management, IAM, cloud security and security controls is required. A bachelor's degree in Cybersecurity, Computer Science, Engineering, IT or equivalent professional experience is expected. Relevant Microsoft Security Operations, Cybersecurity Architect, Identity, Azure AI or Security certifications are advantageous, as are CISSP, CISM, GIAC, Security+, Red Hat Ansible and ServiceNow SecOps certifications. Experience with ITIL, Zero Trust, DevSecOps, AIOps, SRE and FinOps is preferred.

  Arbetslivserfarenhet

  • Automationsingenjör (krav)
  • maskin (krav)

  Arbetsgivare

  Veritaz AB
  

  Webbplats: https://www.veritaz.se/
  

  Ansökan

  Ansök senast 29 oktober (17 dagar kvar)

  Ansök här

  Visa mer

• Senior AI & Automation Engineer (Team) - 19795/19794

  Arbetsgivare / Ort:Veritaz AB /

  Omfattning / Varaktighet:Tidsbegränsad anställning / 6 månader – upp till 12 månader

  Lönetyp: Fast och rörlig lön

  Ansök senast 29 oktober (17 dagar kvar)

  Publicerad: 2026-09-29

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

  Role Summary

  An experienced AI & Automation Engineer is needed to make security operations faster, smarter and more consistent through production-grade automation and AI-assisted security workflows. The assignment spans security operations, identity and access management, vulnerability management, compliance and infrastructure security. The consultant will build secure, scalable automation capabilities and AI assistants that support security analysts while maintaining appropriate controls for privileged and high-risk actions.

  The role involves automating the full security incident lifecycle, including alert triage, enrichment, investigation, containment, remediation and evidence collection. Solutions will use Generative AI, LLMs/SLMs, RAG and agentic RAG patterns, vector search, tool calling, MCP/A2A, and LLMOps/GenAIOps practices. Controlled self-healing capabilities and human approval workflows will be incorporated where required.

  Key Responsibilities

  • Design, build and productionise security automation workflows across SecOps, IAM, vulnerability management, compliance and infrastructure security.
  • Automate alert triage, enrichment, investigation, containment, remediation and evidence collection.
  • Develop secure AI assistants and agents for security use cases using LLMs/SLMs, RAG, vector search, tool calling and agentic workflows.
  • Create reusable security playbooks supporting incident response, threat hunting, identity security and endpoint security.
  • Integrate security platforms through APIs, orchestration workflows, event-driven technologies and threat-intelligence integrations.
  • Implement infrastructure and security automation using Infrastructure as Code, policy-as-code and DevSecOps practices.
  • Develop CI/CD security controls, automated testing and secure deployment processes for automation and AI solutions.
  • Improve security observability through event correlation, anomaly detection, intelligent alert reduction and closed-loop response mechanisms.
  • Contribute to vulnerability and exposure management, security baseline implementation, compliance automation and Zero Trust initiatives.
  • Measure and improve operational outcomes, including MTTD, MTTR, false-positive reduction, automation coverage and analyst productivity.

  Technical Stack & Requirements

  • Programming and scripting: Python, PowerShell, REST APIs, JSON, YAML and KQL.
  • Microsoft security ecosystem: Microsoft Sentinel, Defender XDR, Entra ID, Purview, Security Copilot and Azure security services.
  • Automation and Infrastructure as Code: Ansible Automation Platform, Terraform, security/policy-as-code, Azure Functions and Logic Apps.
  • DevOps tooling: Git, GitHub, GitLab, GitHub Actions and Azure DevOps.
  • Service management and orchestration: ServiceNow SecOps/ITSM, CMDB, Flow Designer and IntegrationHub.
  • Security platforms: SIEM/SOAR, XDR/EDR, IAM/PAM, vulnerability management and threat-intelligence platforms.
  • Cloud-native and integration technologies: Docker, Kubernetes, event-driven technologies and API gateways.
  • AI operations: LLMOps/GenAIOps, AIOps, RAG/Agentic RAG, vector search and secure AI agent development.

  Qualifications & Experience

  The ideal consultant has at least 10 years of experience in Cybersecurity, Security Engineering, SecOps, Detection Engineering or Security Automation. Strong hands-on experience building enterprise security automation and integrating security platforms through APIs, workflows and orchestration is required. Candidates should have practical experience with Microsoft Security and SIEM/SOAR environments and a demonstrated ability to take automation or AI solutions from proof of concept through production deployment.

  A strong understanding of incident response, vulnerability management, IAM, cloud security and security controls is required. A bachelor's degree in Cybersecurity, Computer Science, Engineering, IT or equivalent professional experience is expected. Relevant Microsoft Security Operations, Cybersecurity Architect, Identity, Azure AI or Security certifications are advantageous, as are CISSP, CISM, GIAC, Security+, Red Hat Ansible and ServiceNow SecOps certifications. Experience with ITIL, Zero Trust, DevSecOps, AIOps, SRE and FinOps is preferred.

  Arbetslivserfarenhet

  • Automationsingenjör (krav)
  • maskin (krav)

  Arbetsgivare

  Veritaz AB
  

  Webbplats: https://www.veritaz.se/
  

  Ansökan

  Ansök senast 29 oktober (17 dagar kvar)

  Ansök här

  Visa mer

• Senior AI & Automation Engineer (Team) - 19795/19794

  Arbetsgivare / Ort:Veritaz AB /

  Omfattning / Varaktighet:Tidsbegränsad anställning / 6 månader – upp till 12 månader

  Lönetyp: Fast och rörlig lön

  Ansök senast 29 oktober (17 dagar kvar)

  Publicerad: 2026-09-29

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

  Role Summary

  An experienced AI & Automation Engineer is needed to make security operations faster, smarter and more consistent through production-grade automation and AI-assisted security workflows. The assignment spans security operations, identity and access management, vulnerability management, compliance and infrastructure security. The consultant will build secure, scalable automation capabilities and AI assistants that support security analysts while maintaining appropriate controls for privileged and high-risk actions.

  The role involves automating the full security incident lifecycle, including alert triage, enrichment, investigation, containment, remediation and evidence collection. Solutions will use Generative AI, LLMs/SLMs, RAG and agentic RAG patterns, vector search, tool calling, MCP/A2A, and LLMOps/GenAIOps practices. Controlled self-healing capabilities and human approval workflows will be incorporated where required.

  Key Responsibilities

  • Design, build and productionise security automation workflows across SecOps, IAM, vulnerability management, compliance and infrastructure security.
  • Automate alert triage, enrichment, investigation, containment, remediation and evidence collection.
  • Develop secure AI assistants and agents for security use cases using LLMs/SLMs, RAG, vector search, tool calling and agentic workflows.
  • Create reusable security playbooks supporting incident response, threat hunting, identity security and endpoint security.
  • Integrate security platforms through APIs, orchestration workflows, event-driven technologies and threat-intelligence integrations.
  • Implement infrastructure and security automation using Infrastructure as Code, policy-as-code and DevSecOps practices.
  • Develop CI/CD security controls, automated testing and secure deployment processes for automation and AI solutions.
  • Improve security observability through event correlation, anomaly detection, intelligent alert reduction and closed-loop response mechanisms.
  • Contribute to vulnerability and exposure management, security baseline implementation, compliance automation and Zero Trust initiatives.
  • Measure and improve operational outcomes, including MTTD, MTTR, false-positive reduction, automation coverage and analyst productivity.

  Technical Stack & Requirements

  • Programming and scripting: Python, PowerShell, REST APIs, JSON, YAML and KQL.
  • Microsoft security ecosystem: Microsoft Sentinel, Defender XDR, Entra ID, Purview, Security Copilot and Azure security services.
  • Automation and Infrastructure as Code: Ansible Automation Platform, Terraform, security/policy-as-code, Azure Functions and Logic Apps.
  • DevOps tooling: Git, GitHub, GitLab, GitHub Actions and Azure DevOps.
  • Service management and orchestration: ServiceNow SecOps/ITSM, CMDB, Flow Designer and IntegrationHub.
  • Security platforms: SIEM/SOAR, XDR/EDR, IAM/PAM, vulnerability management and threat-intelligence platforms.
  • Cloud-native and integration technologies: Docker, Kubernetes, event-driven technologies and API gateways.
  • AI operations: LLMOps/GenAIOps, AIOps, RAG/Agentic RAG, vector search and secure AI agent development.

  Qualifications & Experience

  The ideal consultant has at least 10 years of experience in Cybersecurity, Security Engineering, SecOps, Detection Engineering or Security Automation. Strong hands-on experience building enterprise security automation and integrating security platforms through APIs, workflows and orchestration is required. Candidates should have practical experience with Microsoft Security and SIEM/SOAR environments and a demonstrated ability to take automation or AI solutions from proof of concept through production deployment.

  A strong understanding of incident response, vulnerability management, IAM, cloud security and security controls is required. A bachelor's degree in Cybersecurity, Computer Science, Engineering, IT or equivalent professional experience is expected. Relevant Microsoft Security Operations, Cybersecurity Architect, Identity, Azure AI or Security certifications are advantageous, as are CISSP, CISM, GIAC, Security+, Red Hat Ansible and ServiceNow SecOps certifications. Experience with ITIL, Zero Trust, DevSecOps, AIOps, SRE and FinOps is preferred.

  Arbetslivserfarenhet

  • Automationsingenjör (krav)
  • maskin (krav)

  Arbetsgivare

  Veritaz AB
  

  Webbplats: https://www.veritaz.se/
  

  Ansökan

  Ansök senast 29 oktober (17 dagar kvar)

  Ansök här

  Visa mer

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