Lead ML/AI Engineer | AI Agents & MLOps (Azure / Kubernetes)

Snapshot Join a leading data & AI consultancy delivering production-grade AI and automation solutions across enterprise environments. This role blends hands-on AI engineering + team leadership , focusing on building and scaling AI agents, automation workflows, and reliable AI systems . This is not a purely strategic role — this is a builder-lead position combining execution + mentorship . Location: Remote | Poland Compensation: PLN 230,400 – 268,800 / year Job Type: Ful-time Ideal Candidate Profile Hands-on engineer who moved into leadership (not purely managerial) Has built AI automation systems in production Strong in MLOps + infrastructure + AI integration Comfortable: Mentoring engineers Explaining technical concepts to non-technical stakeholders What You'll Do Lead and mentor a small engineering team (1+ engineers) Design and deploy AI agents and automation workflows Maintain and improve: AI systems Reliability, performance, and security Collaborate with IT and business teams to: Implement AI solutions Drive adoption Support AI upskilling across teams Ensure scalable and secure AI operations (MLOps practices) Tech Stack Azure, Kubernetes (AKS) Docker / OCI Linux AI/ML & automation frameworks What We're Looking For Proven experience delivering production-grade AI / automation systems Strong hands-on experience with: AI agents / pipelines / workflows Solid MLOps / DevOps foundation: Kubernetes (AKS preferred) Containerization (Docker) Linux systems Azure cloud Ability to: Lead and mentor engineers Work cross-functionally Strong communication and ownership mindset Bonus: Experience in consulting / advisory roles Experience in enterprise environments AI adoption / enablement across teams Compensation & Benefits PLN 230,400 – 268,800 annually 110+ trainings + Udemy access Strong internal growth (76% managers promoted internally) Workation + flexible work model Inclusive, DEI-driven culture Location & Eligibility Remote within Poland Must be based in Poland Must have valid work authorization No visa sponsorship Why This Role Build and deploy real-world AI agents and automation systems Lead and mentor engineers while staying hands-on technically Work cross-functionally to drive AI adoption across the organization Join a stable, growth-oriented company with strong learning culture Shape how AI is applied practically across business operations If you're ready to lead by building — shaping real AI systems while mentoring others and driving adoption across teams — this is where you create lasting impact. Apply now.