AI Platform & Agentic Engineering Director

Exelixis Inc; Alameda (CA); On-site; USD 215,000 - 306,000; Full time

Benefits offered by this job

401k plan with generous company_contr.

Medical coverage

Dental coverage

Vision coverage

Life insurance

Disability insurance

Flexible spending accounts

Stock options

Long-term incentives

Vacation days

Company holidays

Sick days

Job summary

Exelixis Inc. is seeking a Director of Engineering AI and Agentic to lead strategy, architecture, delivery, and operations of enterprise AI platforms and AI-enabled business solutions.

You will translate business needs into scalable, secure, and user-centered AI products, building reusable platform capabilities and partnering across IT, security, data, legal, and compliance to responsibly scale AI adoption.

Qualifications

• Bachelor's degree in a related discipline with 13+ years of experience; or Master’s with 11+ years; or equivalent.
• 5+ years in AI Engineering or Cloud platform leadership.
• Strong understanding of AI engineering, AI-native practices, and enterprise-scale platforms.

Responsibilities

• Define and execute the AI engineering strategy, roadmap, and operating model.
• Lead the design and delivery of scalable AI platform capabilities.
• Oversee production-grade generative and agentic AI solutions.
• Partner with IT, security, data, legal, and business stakeholders.
• Establish AI-native engineering standards, tests, and CI/CD.

Skills

AI engineering

Generative AI

Agentic AI

Platform architecture

Software engineering

Cloud-native design

Data pipelines

Observability

Education

Bachelor's degree

Master's degree

Tools

AWS

Databricks Mosaic AI

Job description

Exelixis Inc. is seeking a Director of Engineering AI and Agentic to lead strategy, architecture, delivery, and operations of enterprise AI platforms and AI-enabled business solutions.

You will translate business needs into scalable, secure, and user-centered AI products, building reusable platform capabilities and partnering across IT, security, data, legal, and compliance to responsibly scale AI adoption.