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Amgen Inc
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Senior Manager, Agentic AI/Chatbot Engineer

Senior Manager, Agentic AI/Chatbot Engineer

Amgen Inc

3 - 7 years

10 - 15 Lacs

hyderabad

Posted:Just now| Platform:

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Skills Required

supply chain sap data science analytical open source troubleshooting stakeholder management cost auditing

Work Mode

Work from Office

Job Type

Full Time

Job 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 b uild 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-HaveSkills:

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:

E xperience in Biotechnology or pharma industry is a big plus

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

Master s degree in Computer Scienc e and or Data Science

Familiarity with Agile methodologies and Scaled Agile Framework ( SAFe ) fo r project delivery.

Education and Professional Certifications

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

Bachelor s degree with 12 -1 4 + 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.

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Senior Manager, Agentic AI/Chatbot Engineer