Senior AI / ML OPS Engineer

Direct Responsibilities:

·       Design, develop and operate agentic AI systems using frameworks such as LangChain / LangGraph (or equivalents)

·       Implement reasoning, planning, decision and orchestration logic for production automation

·       Integrate AI agents into CI/CD pipelines and ML/AI OPS processes

·       Connect AI agents to observability systems (Dynatrace, logs, metrics, traces)

·       Define safeguards, approval mechanisms, rollback and human‑in‑the‑loop controls

·       Ensure compliance with security, reliability and operational governance standards

Contributing Responsibilities:

·       Collaborate with OPS, SRE, APS, Architects and AI experts in cross‑functional squads

·       Participate in testing, validation and gradual rollout of AI‑driven use cases

·       Contribute to post‑incident analysis, continuous improvement and reliability engineering

·       Produce and maintain technical and operational documentation compatible with RUN expectations

Technical & Behavioral Competencies

Technical Skills

·       Advanced Python development and API‑based system integration

·       Experience with agentic AI frameworks (LangChain, LangGraph, LangSmith or similar)

·       Strong understanding of production constraints: availability, performance, security, auditability

·       AI / ML OPS concepts, CI/CD, lifecycle management

·       Observability: logs, metrics, traces, alerting (Dynatrace, Elastic, etc.)

Production & OPS Skills

·       Strong background in IT Production / Operations / SRE

·       Incident, problem and change management (ITIL mindset)

·       Secure‑by‑design automation and controlled execution of production actions