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Associate Director, Machine Learning Engineer

Amgen

Salary not specified
Dec 15, 2025
Thousand Oaks, CA, US
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Amgen is looking to solve real business problems across R&D, Manufacturing, and Commercial by designing, developing, and deploying enterprise-scale agents and conversational bots

Requirements

  • 3-5 years in AI/ML and enterprise software
  • Knowledge graphs or structured reasoning (SPARQL, RDF/OWL) and tool-use planning with constraints
  • Safety tooling (jailbreak detection, content moderation, PII redaction) and automated red-team pipelines
  • Experience with privacy-preserving patterns (data masking, synthetic data, federated or on-prem inference)
  • Domain familiarity in biopharma workflows (clinical operations, quality, manufacturing/supply chain, field/commercial)
  • FinOps at scale: GPU fleet planning, utilization dashboards, commitment management
  • Contributions to open source in LLM/agent ecosystems; patents or publications in conversational AI

Responsibilities

  • Own the enterprise agent/bot platform architecture (cloud/on-prem), API contracts, and guardrails for multi-tenant use
  • Design and ship production agentic systems: multi-agent planning, tool/function calling, workflow orchestration, and structured outputs
  • Build high-containment bots for web/mobile/Slack/Teams/IVR with streaming responses and sub-second turn latency where required
  • Implement retrieval & memory (RAG, vector stores, knowledge graphs, session memory) with data contracts, lineage, and lifecycle governance
  • Establish bot CI/CD: prompt & config versioning, replay/conversation tests, feature flags, and automated rollbacks
  • Stand up observability: tracing, metrics, and conversation analytics (containment, escalation, hallucination, CSAT, latency, cost per turn) with alerts and runbooks
  • Integrate securely with enterprise systems (e.g., SAP, Salesforce, ServiceNow, MES/LIMS/ELN/QMS) via robust connectors and least-privilege tool access

Other

  • Doctorate degree and 2 years of Computer Science, IT or related field experience
  • Excellent analytical and troubleshooting skills
  • Strong verbal and written communication skills
  • Ability to work effectively with global, virtual teams
  • High degree of initiative and self-motivation