HA
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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