Director, AI and Agentic Engineering

Summary/Job Purpose

The Director, Engineering AI and Agentic leads the strategy, architecture, delivery, and operations of enterprise AI platforms and AI-enabled business solutions. This role combines deep AI engineering leadership with strong product management capabilities to translate business needs into scalable, secure, measurable, and user-centered AI products. The Director, Engineering AI And Agentic is accountable for building reusable AI platform capabilities, delivering production-grade agentic and generative AI solutions, advancing AI-native engineering practices, and partnering across IT, security, data, legal, compliance, and business stakeholders to responsibly scale AI adoption across Exelixis.

• Define and execute the AI engineering strategy, roadmap, and operating model for enterprise AI platforms, reusable services, and AI-enabled business solutions.
• Lead the design and delivery of scalable AI platform capabilities, including model access patterns, agent orchestration, retrieval-augmented generation, evaluation frameworks, prompt and artifact management, observability, governance controls, and reusable integration patterns.
• Oversee end-to-end development of production-grade generative AI, agentic AI, and automation solutions that improve productivity, decision support, operational efficiency, and business outcomes across functions.
• Apply strong product management practices, including opportunity assessment, stakeholder discovery, prioritization, roadmap planning, user experience definition, value measurement, adoption planning, and lifecycle management.
• Partner with business leaders, product managers, architects, data teams, cybersecurity, privacy, legal, compliance, and enterprise application teams to translate strategic business needs into secure, governed, and scalable AI solutions.
• Establish AI-native engineering standards and practices, including specification-driven development, agent-assisted software delivery, automated testing, code quality, reusable patterns, Dev Sec Ops , CI/CD, release management, and operational support models.
• Ensure AI solutions are designed for reliability, security, scalability, auditability, explainability, human oversight, measurable autonomy, and responsible AI use consistent with company policies and regulatory expectations.
• Manage platform, and technology decisions across AI providers, cloud services, data platforms, development tools, and open-source components; assess build-versus-buy options and total cost of ownership.
• Create and monitor success metrics for AI platforms and solutions, including adoption, productivity impact, quality, latency, cost, risk reduction, reuse, user satisfaction, and business value realization.
• Lead architecture reviews, prompt and solution reviews, security reviews, model and agent evaluations, release-readiness assessments, and post-production performance monitoring.
• Develop talent, delivery practices, technical documentation, playbooks, reference architectures, and enablement materials that help teams adopt AI-native engineering safely and effectively.
• Performs other duties as assigned
• Complies with all policies and standards

• Recruit staff to meet the unit’s immediate objectives and develop staff to meet longer term objectives.
• Appraise the performance of subordinates and recommend changes regarding job, pay and employment status.
• Assist with operating budgets, and capital budgets if required, and control expenses to adhere to approved budgets.
• Keep informed of company policies and procedures as well as keep current with technical and regulatory developments to ensure compliance.
• Develop policies and procedures or recommend revisions to facilitate the accomplishment of the unit’s objectives.
• Cooperate with management and staff of other organizational units to accomplish overall organizational objectives.
• Provide a safe workplace and ensure employees are aware of and adhere to safety policies and procedures.

• Bachelor’s degree in a related discipline and 13 years of related experience; or
• Master’s degree in a related discipline and 11 years of related…