Senior Manager, Agentic AI/Chatbot Engineer

Department Name: AI & Data Science

Role GCF: 6

ABOUT THE ROLE

• 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

• 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 10-12 + years of experience in Computer Science, IT or related field

OR

• Bachelors 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.