Senior Manager, Agentic AI/Chatbot Engineer

Sr. Manager, Agentic AI/Chatbot Engineer

Role Name: Sr.Manager, Agentic AI Chatbot Engineer

Department Name: AI & Data Science

Role GCF: 6

Hiring Manager Name: Valentine Fontama

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.

ABOUT THE ROLE

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 architecture—from orchestration and retrieval to safety, observability, and CI/CD—so our agents reliably solve real business problems across R&D, Manufacturing, and Commercial. As a senior IC “player-coach,” you’ll 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.

• Master’s degree in Computer Science and or Data Science 

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

Education and Professional Certifications

• Master’s degree with 10-12 + years of experience in Computer Science, IT or related field  

OR 

• Bachelor’s degree with 12-14 + 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.

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.