Senior Manager, Agentic AI/Chatbot Engineer

Role Description:

Amgen is seeking a Sr. Manager, Agentic AI/Chatbot Engineer to lead the design, development, and deployment of enterprise-scale agents and conversational bots. You will own the end-to-end architecturefrom orchestration and retrieval to safety, observability, and CI/CDso our agents reliably solve real business problems across R&D, Manufacturing, and Commercial. As a senior IC player-coach, youll set technical standards, mentor teams, and partner with Security, Compliance, DevOps, and Product to ship secure, resilient, and cost-efficient solutions with measurable impact.

Roles & Responsibilities:

• Lead a high performing team of Agentic AI/Chatbot Engineers

• 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.

• Guide team to build high-containment bots for web/mobile/Slack/Teams/IVR with streaming responses and sub-second turn latency where required.

• Lead implementation of 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. Implement progressive delivery (blue-green, canary) with health checks, feature flags, and one-click rollback.

• 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.

• Embed safety, privacy, and compliance (content filtering, red-teaming, audit trails, secrets mgmt) aligned to GxP/21 CFR Part 11 and HIPAA/PII needs.

• Optimize inference and cost (routing, caching, batching, distillation/quantization) and drive GPU/accelerator/FinOps strategy.

• Evaluate and document trade-offs for models (open vs. proprietary), hosting options, and agent frameworks (e.g., LangChain, Semantic Kernel, Assistants APIs).

• Translate domain needs (R&D, Manufacturing, Commercial) into prioritized roadmaps; mentor teams and communicate technical trade-offs to stakeholders.

Must-Have Skills:

• 3-5 years in AI/ML and enterprise software.

• At least 3 years experience of managing AI/ML teams

• 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.

• Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narratives.

Good-to-Have Skills:

• Experience in Biotechnology or pharma industry is a big plus

• Published thought-leadership or conference talks on enterprise GenAI adoption.

• Masters degree in Computer Science and or Data Science

• Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery.

Education and Professional Certifications

• Masters degree with years of experience in Computer Science, IT or related field

OR

• Bachelors degree with years of experience in Computer Science, IT or related field

• Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus.

Soft Skills:

• 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.

• Ability to manage multiple priorities successfully.

• Team-oriented, with a focus on achieving team goals.

• Ability to learn quickly, be organized and detail oriented.

• Strong presentation and public speaking skills.