Senior MLOps Engineer

We are looking for a Senior MLOps Engineer to own the agentic versioning model, promotion workflow, and rollback patterns across the agent estate, contributing to an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The platform standardizes agent development across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime, spanning agent framework design, runtime architecture, marketplace integration, CI/CD automation, and enterprise-grade observability, reducing agent development from months to days while enforcing consistent security, quality, and governance standards.

Responsibilities

• Define and maintain the agentic versioning model, treating agent container image, prompt configuration, tool bindings, and policy associations as an immutable unit
• Manage AWS AgentCore Runtime versioning, including automatic version creation on image push and endpoint management for DEFAULT and named endpoints
• Design and enforce the agent promotion workflow from dev to qa to prod, embedding evaluation gates that guarantee quality before production release
• Establish agent rollback patterns that restore previous agent versions while validating that the prior version remains functional
• Configure AWS ECR for agent images, covering ARM64 tagging, lifecycle policies, and image signing to preserve agent immutability
• Integrate with the Agent Registry to auto-register agent versions along with metadata such as evaluation results and promotion status
• Collaborate with engineering teams to standardize versioning and lifecycle practices across the agent estate

Requirements

• 5+ years of experience in MLOps or DevOps engineering with AI/ML systems
• Hands-on experience with deployment, promotion, or rollback workflows specifically for AI agents, such as agent evaluation gates, agent version comparison, or agent endpoint management
• Experience in versioning and lifecycle management for LLM agents or ML models
• Experience in immutable artifact versioning at enterprise scale using ECR and model registries
• Experience in CI/CD pipeline design with quality gates for AI systems
• English proficiency at B2 level or higher

Nice to have

• Hands-on experience with AWS AgentCore Runtime versioning
• Familiarity with agent evaluation frameworks such as Langfuse, LangSmith, PromptLayer
• Experience with multi-environment agent promotion patterns
• Skills in agent version comparison and regression detection

We offer

• We gather like-minded people:
• • Top tech minds driving innovation in AI, cloud and digital platform modernization
    • Supportive team and agile, startup-like culture
    • Hybrid by design mode and opportunity to work remotely within Poland
    • Chance to work abroad for up to 60 days annually
    • Business-driven relocation opportunities
• We provide growth opportunities:
• • Career development programs
    • Thought leadership, mentoring, soft skills and well-being programs
    • Certification (Anthropic, Gemini, GCP, Azure, AWS)
    • English classes
• We cover it all:
• • Stable pay
    • Participation in the Employee Stock Purchase Plan with a 15% discount
    • Benefits package (health insurance, multisport, shopping vouchers)
    • Referral bonuses up to $2,000
    • Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more
    • Corporate, social and well-being events
• Please, note:
• • Benefits listed above are available to employees only
    • We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually
    • We will reach out to selected candidates exclusively

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.