Data & AI Platform Engineer II

Exelixis • Alameda, CA

1d • $170,000 - $215,000 • Onsite

About The Position

The Engineer II - AI and Agentic designs, builds, and deploys production-grade agentic applications that automate multi-step IT and business workflows across Exelixis. The role delivers spec-driven, testable, and secure AI solutions; contributes platform patterns and reusable components; and advances engineering standards.

The position develops end-to-end agentic applications and multi-agent workflows, hardens prototypes into production-ready services, and integrates LLMs, prompts, tools, APIs, and enterprise data sources. It also implements CI/CD pipelines, evaluation harnesses, observability, and artifact versioning; produces technical documentation; and leads reviews and release-readiness activities. The engineer applies secure-by-design and responsible AI principles and partners with product, security, and platform teams to translate business needs into scalable solutions.

The position is located in Alameda, California. No travel is required. The office is described as a modern, collaborative workspace, with equipment including dual monitors and ergonomic chairs.

Requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field and five years of related experience; or a master’s degree in one of these fields and three years of related experience; or an equivalent combination of education and experience.
• The posting also specifies 2–4 years of relevant experience in AI application, data science, automation, or related technical work, including hands-on work building or contributing to LLM-enabled applications, agentic workflows, and API integrations.
• Strong hands-on experience building AI-enabled applications and agentic workflows on enterprise data platforms.
• Deep understanding of modern data and analytics ecosystems, including data engineering, metadata, governance, and platform integration patterns.
• Ability to translate business and analytical use cases into scalable, production-ready AI and data solutions.
• Experience working across AI, data, platform, and security teams to establish reusable patterns, standards, and best practices.
• Intermediate to advanced proficiency in Python and/or JavaScript/TypeScript, including modular design, testing, and packaging.
• Intermediate proficiency with agent frameworks and agentic patterns, including tool use, planning/execution loops, guardrails, evaluation, and prompt/version management.
• Intermediate proficiency building and consuming REST APIs and integrating enterprise systems using OAuth/JWT, secrets management, and secure data handling.
• Intermediate proficiency with CI/CD, automated unit and integration testing, linting, and observability for AI applications.
• Intermediate understanding of security best practices, architecture design principles, and responsible AI/data governance.
• Intermediate written and verbal communication skills and demonstrated ability to collaborate with cross-functional stakeholders and mentor junior engineers.
• Intermediate experience with cloud AI platforms, preferably AWS Cloud, AWS Bedrock, and Databricks Mosaic AI, and with vector stores or retrieval-augmented generation (RAG) patterns.
• Intermediate knowledge of AI-native engineering using Claude Code, Codex, GitHub Copilot, or equivalent coding agents.
• No travel is required.

Nice To Haves

• Experience delivering evaluation frameworks, red-teaming, or LLM observability tooling.
• Experience with AWS Cloud, AWS Bedrock, and Databricks Mosaic AI is preferred.

Responsibilities

• Design and deliver end-to-end agentic applications and multi-agent workflows that automate IT and business processes.
• Convert prototypes into production-ready services with clear specifications, modular design, robust error handling, and comprehensive test coverage.
• Integrate LLMs, prompts, tools, APIs, and enterprise data sources such as Bedrock, Databricks Mosaic AI, and MCP servers.
• Implement CI/CD pipelines, automated evaluation harnesses, observability, and artifact versioning for AI and agent workloads.
• Author architecture notes, runbooks, SOPs, and technical documentation to support adoption, operability, and maintainability.
• Lead prompt/spec reviews, code reviews, threat modeling exercises, and release-readiness gates.
• Apply and promote secure-by-design and responsible AI principles, including data governance, privacy, and safe prompting aligned with organizational policy.
• Contribute reusable components, patterns, and internal libraries to the platform.
• Partner with product managers, security, and platform teams to translate business needs into scalable technical solutions.
• Perform other duties as assigned and comply with all policies and standards.

Benefits

• 401(k) plan with generous company contributions.
• Group medical, dental, and vision coverage.
• Life and disability insurance.
• Flexible spending accounts.
• Eligibility for a discretionary annual bonus program, or a sales-based incentive plan for field sales staff.
• Opportunity to purchase company stock and receive long-term incentives.
• 15 accrued vacation days in the first year.
• 17 paid holidays, including a company-wide winter shutdown in December.
• Up to 10 sick days throughout the calendar year.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level