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AI Coach / AI & DevOps Engineer (m/f/d)

Hays AG

Remote · Germany 3w ago

About the role

Responsibilities

  • Strategic new role to accelerate AI adoption across development, operations, and delivery
  • Acts as the technical AI coach for engineering and DevOps teams
  • Designs and implements AI integration concepts within DevOps workflows
  • Guides teams on how AI enhances CI/CD pipelines, Git workflows, code reviews, and security
  • Builds prototypes and reference implementations for AI assisted pipelines and intelligent automation
  • Supports integration of AI tools into continuous delivery and operational processes
  • Advises on cloud-based AI delivery (AWS, Azure, etc.)
  • Ensures AI adoption aligns with security, compliance, and governance standards
  • Delivers workshops, playbooks, and hands-on coaching for technical enablement
  • Continuously evaluates new AI tools and drives technology improvement across teams

Requirements

  • Strong engineering background with deep expertise in DevOps, Cloud, and Automation
  • Hands-on experience with CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins or similar)
  • Solid skills in containerisation and orchestration (Docker, Kubernetes)
  • Experience working with cloud environments (AWS, Azure, GCP)
  • Strong command of Git workflows, code quality practices, and release automation
  • Solid understanding of AI concepts (LLMs, Azure OpenAI, GitHub Copilot, etc.)
  • Ability to integrate AI into engineering workflows and define practical use cases
  • Knowledge of prompt engineering and automated task execution
  • Excellent communication skills for coaching, training, and knowledge transfer
  • Proactive, ownership-driven mindset; English proficiency required for international collaboration

Benefits

  • Start: asap
  • Location: Hungary (remote option)

Requirements

  • Strong engineering background with deep expertise in DevOps, Cloud, and Automation
  • Hands-on experience with CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins or similar)
  • Solid skills in containerisation and orchestration (Docker, Kubernetes)
  • Experience working with cloud environments (AWS, Azure, GCP)
  • Strong command of Git workflows, code quality practices, and release automation
  • Solid understanding of AI concepts (LLMs, Azure OpenAI, GitHub Copilot, etc.)
  • Ability to integrate AI into engineering workflows and define practical use cases
  • Knowledge of prompt engineering and automated task execution
  • Excellent communication skills for coaching, training, and knowledge transfer
  • Proactive, ownership-driven mindset; English proficiency required for international collaboration

Responsibilities

  • Acts as the technical AI coach for engineering and DevOps teams
  • Designs and implements AI integration concepts within DevOps workflows
  • Guides teams on how AI enhances CI/CD pipelines, Git workflows, code reviews, and security
  • Builds prototypes and reference implementations for AI assisted pipelines and intelligent automation
  • Supports integration of AI tools into continuous delivery and operational processes
  • Advises on cloud-based AI delivery (AWS, Azure, etc.)
  • Ensures AI adoption aligns with security, compliance, and governance standards
  • Delivers workshops, playbooks, and hands-on coaching for technical enablement
  • Continuously evaluates new AI tools and drives technology improvement across teams

Skills

AWSAzureCI/CDDockerGCPGitGitLab CIGitHub ActionsGitHub CopilotJenkinsKubernetesLLMsAzure OpenAI

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