Director of AI Platforms & Agentic Engineering

Exelixis, Inc.

Alameda (CA)

Hybrid

USD 215,000 - 306,000

Full time

14 days+
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Benefits offered by this job

401(k) plan
Medical/dental/vision
Stock options
Discretionary annual bonus

Job summary

Exelixis, Inc. in Alameda, CA, seeks a Director of AI and Agentic Engineering to lead strategy, architecture and delivery of enterprise AI platforms and AI-enabled business solutions.

The role combines AI engineering leadership with product management to build scalable, secure, and measurable AI products, partnering across IT, data, security, and compliance to responsibly scale AI adoption.

Qualifications

  • Advanced understanding of AI engineering, generative AI, agentic AI patterns and platform architecture.
  • Strong ability to define platform strategy, roadmaps, business cases, and success metrics.
  • Hands-on credibility with LLMs, prompt engineering, tool use, and AI solution patterns.

Responsibilities

  • Define and execute the AI engineering strategy, roadmap, and operating model for enterprise AI platforms and AI-enabled solutions.
  • Lead design and delivery of scalable AI platform capabilities including agent orchestration and retrieval-augmented generation.
  • Oversee end-to-end development of production-grade generative AI and automation solutions across functions.
  • Partner with business leaders and enterprise teams to translate strategic needs into secure, governed AI solutions.

Skills

AI engineering
Generative AI
Agentic AI patterns
Platform architecture
Cloud-native design
Enterprise integration
Production operations
Leadership
Stakeholder management
Communication

Education

Bachelor’s degree in a related discipline
Master’s degree in a related discipline

Tools

AWS
Amazon Bedrock
Databricks Mosaic AI

Job description

Exelixis, Inc. in Alameda, CA, seeks a Director of AI and Agentic Engineering to lead strategy, architecture and delivery of enterprise AI platforms and AI-enabled business solutions.

The role combines AI engineering leadership with product management to build scalable, secure, and measurable AI products, partnering across IT, data, security, and compliance to responsibly scale AI adoption.

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