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.ResponsibilitiesDefine and maintain the agentic versioning model, treating agent container image, prompt configuration, tool bindings, and policy associations as an immutable unitManage AWS AgentCore Runtime versioning, including automatic version creation on image push and endpoint management for DEFAULT and named endpointsDesign and enforce the agent promotion workflow from dev to qa to prod, embedding evaluation gates that guarantee quality before production releaseEstablish agent rollback patterns that restore previous agent versions while validating that the prior version remains functionalConfigure AWS ECR for agent images, covering ARM64 tagging, lifecycle policies, and image signing to preserve agent immutabilityIntegrate with the Agent Registry to auto-register agent versions along with metadata such as evaluation results and promotion statusCollaborate with engineering teams to standardize versioning and lifecycle practices across the agent estateRequirements5+ years of experience in MLOps or DevOps engineering with AI/ML systemsHands-on experience with deployment, promotion, or rollback workflows specifically for AI agents, such as agent evaluation gates, agent version comparison, or agent endpoint managementExperience in versioning and lifecycle management for LLM agents or ML modelsExperience in immutable artifact versioning at enterprise scale using ECR and model registriesExperience in CI/CD pipeline design with quality gates for AI systemsEnglish proficiency at B2 level or higherNice to haveHands-on experience with AWS AgentCore Runtime versioningFamiliarity with agent evaluation frameworks such as Langfuse, LangSmith, PromptLayerExperience with multi-environment agent promotion patternsSkills in agent version comparison and regression detectionWe offerWe gather like-minded people:Top tech minds driving innovation in AI, cloud and digital platform modernizationSupportive team and agile, startup-like cultureHybrid by design mode and opportunity to work remotely within PolandChance to work abroad for up to 60 days annuallyBusiness-driven relocation opportunitiesWe provide growth opportunities:Career development programsThought leadership, mentoring, soft skills and well-being programsCertification (Anthropic, Gemini, GCP, Azure, AWS)English classesWe cover it all:Stable payParticipation in the Employee Stock Purchase Plan with a 15% discountBenefits package (health insurance, multisport, shopping vouchers)Referral bonuses up to $2,000Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and moreCorporate, social and well-being eventsPlease, note:Benefits listed above are available to employees onlyWe are open for working with Contractors. Terms of B2B cooperation agreements are agreed individuallyWe will reach out to selected candidates exclusivelyEPAM 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.