Summary
✨ AI‑Generated
An AI Workflow Engineer will build and maintain intelligent automation workflows that enforce API governance at scale. You will modernize DevOps automation using agent-based approaches and LLM-assisted analysis, helping establish consistent policy enforcement across engineering workflows. The position combines practical software engineering with emerging AI automation techniques.
Highlights
Build intelligent automation workflows for API governance and evolve traditional DevOps automation toward AI-powered agentic systems. The role combines AI, cloud, software engineering, and enterprise automation in a flexible Poland-based work environment.
Description
HCLTech is a global technology company, home to more than 227,000 people across 60 countries, delivering industry-leading capabilities centered around AI, digital, engineering, cloud and software, powered by a broad portfolio of technology services and products.
We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology & Services, Semiconductor, Telecom and Media, Retail and CPG, Mobility and Public Services.
Consolidated revenues as of 12 months ending March 2026 totaled $14.7B.
Work mode: Hybrid or Remote in PolandLocation: PolandWorking hours: normal, business hoursContract type: Employment
Role purpose
Build and maintain intelligent automation workflows that enforce API governance standards at scale.
Evolve from traditional DevOps workflow automation to AI-powered agent-based governance, leveraging GitHub Agentic Workflows and LLM-assisted analysis to ensure consistent policy compliance across all APIs.
Key responsibilities
Design and implement GitHub Agentic Workflows that automate routine governance checksDevelop AI-assisted agents that reduce human review burdenBuild automation frameworksContinuously train and refine AI agents based on governance team feedback and policy exception patternsMonitor automation quality, false positive rates, and compliance coverageInstrument governance automation with detailed logging and metrics for continuous improvementMaintain and evolve the technical foundation for agent-based governance as standards and requirements changeCollaborate with the API Architect to understand policy requirements and translate them into automation rules
Technical requirements
3+ years DevOps/SRE experience with infrastructure automation and CI/CD pipeline developmentDeep experience with GitHub Actions, automation scripting (Bash, Python), and container orchestration (Kubernetes)Experience with agent-based workflows on GitHub and Azure platformsUnderstanding of API contract validation, OpenAPI tooling, and semantic versioning conceptsStrong proficiency in Python, TypeScript/JavaScriptFamiliarity with governance, compliance, and policy enforcement conceptsExperience with observability platforms and metrics collection (Datadog or similar)
Key competencies
Ability to learn and apply AI/ML concepts in practical automation contextsExcellent problem-solving and debugging skills for complex distributed automationStrong communication skills to translate between governance policy and automation implementationContinuous learning mindset as AI/ML tools and governance requirements evolve
What we offer:
Life insurancePrivate medical careMultiSport CardSubsidies for glassesSubsidies for language coursesChristmas and holiday bonuses
