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Senior MLOps Engineer

seniorremote2,000 USD · period not specifiedLodz, PLScore 78/1001w ago
Market insights
📊 AI / ML / Data Science: salaries and demand on the market
Stack
MLOpsCI/CDAWSECRModel RegistryDockerModel VersioningObservabilityagileawsazureci/cd
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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. 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 a
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