{"id":1254676,"url":"https://alion.io/job/epam-poland-senior-mlops-engineer","title":"Senior MLOps Engineer","company":{"id":2612641,"name":"EPAM Systems Poland","domain":"epam-poland.pl","url":"https://alion.io/company/epam-poland","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":111000,"max_usd":244000,"period":"year","method":"global_role_seniority_cell","sample_n":1507},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"AWS Strands Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Agile","optional":true},{"name":"Anthropic","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Gemini","optional":true},{"name":"LangChain","optional":true},{"name":"Langfuse","optional":true},{"name":"LangSmith","optional":true},{"name":"Platform Engineering","optional":true}],"status":"live","first_seen_at":"2026-09-25T18:10:16Z","employer_posted_date":null,"last_verified_at":"2026-09-25T18:10:16Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"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.\nResponsibilities\nDefine and maintain the agentic versioning model, treating agent container image, prompt configuration, tool bindings, and policy associations as an immutable unit\nManage AWS AgentCore Runtime versioning, including automatic version creation on image push and endpoint management for DEFAULT and named endpoints\nDesign and enforce the agent promotion workflow from dev to qa to prod, embedding evaluation gates that guarantee quality before production release\nEstablish agent rollback patterns that restore previous agent versions while validating that the prior version remains functional\nConfigure AWS ECR for agent images, covering ARM64 tagging, lifecycle policies, and image signing to preserve agent immutability\nIntegrate with the Agent Registry to auto-register agent versions along with metadata such as evaluation results and promotion status\nCollaborate with engineering teams to standardize versioning and lifecycle practices across the agent estate\nRequirements\n5+ years of experience in MLOps or DevOps engineering with AI/ML systems\nHands-on experience with deployment, promotion, or rollback workflows specifically for AI agents, such as agent evaluation gates, agent version comparison, or agent endpoint management\nExperience in versioning and lifecycle management for LLM agents or ML models\nExperience in immutable artifact versioning at enterprise scale using ECR and model registries\nExperience in CI/CD pipeline design with quality gates for AI systems\nEnglish proficiency at B2 level or higher\nNice to have\nHands-on experience with AWS AgentCore Runtime versioning\nFamiliarity with agent evaluation frameworks such as Langfuse, LangSmith, PromptLayer\nExperience with multi-environment agent promotion patterns\nSkills in agent version comparison and regression detection\nWe offer\nWe gather like-minded people:\nTop tech minds driving innovation in AI, cloud and digital platform modernization\nSupportive team and agile, startup-like culture\nHybrid by design mode and opportunity to work remotely within Poland\nChance to work abroad for up to 60 days annually\nBusiness-driven relocation opportunities\n\nWe provide growth opportunities:\nCareer development programs\nThought leadership, mentoring, soft skills and well-being programs\nCertification (Anthropic, Gemini, GCP, Azure, AWS)\nEnglish classes\n\nWe cover it all:\nStable pay\nParticipation in the Employee Stock Purchase Plan with a 15% discount\nBenefits package (health insurance, multisport, shopping vouchers)\nReferral bonuses up to $2,000\nOffices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more\nCorporate, social and well-being events\n\nPlease, note:\nBenefits listed above are available to employees only\nWe are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually\nWe will reach out to selected candidates exclusively\n\nEPAM 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.","description_format":"text","description_chars":3986,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Growth opportunities","Health insurance"],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T18:54:51Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":5,"expected_fill_days":38,"reasons":["seen:5","velocity","win:early","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/epam-poland-senior-mlops-engineer","json_url":"https://alion.io/job/epam-poland-senior-mlops-engineer.json","meta":{"generated_at":"2026-10-01T20:27:42Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2942,"day_limit":5000,"remaining_today":2058,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}