AI and Agentic Engineer II

SUMMARY/JOB PURPOSE

The Engineer II - AI and Agentic is responsible for designing, building, and deploying production-grade agentic applications that automate multi-step IT and business workflows across Exelixis. This role delivers spec-driven, testable, and secure AI solutions, contributes to platform patterns and reusable components, while advancing the engineering standards.

• Design and deliver end-to-end agentic applications and multi-agent workflows that automate IT and business processes.
• Convert prototypes into hardened, production-ready services with clear specifications, modular design, robust error handling, and comprehensive test coverage.
• Integrate LLMs, prompts, tools, APIs, and enterprise data sources (e.g., Bedrock, Databricks Mosaic AI, MCP servers) into reliable use cases.
• Implement CI/CD pipelines, automated evaluation harnesses, observability, and artifact versioning for AI/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 evangelize secure-by-design and responsible AI principles, including data governance, privacy, and safe prompting aligned to 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.
• Performs other duties as assigned.
• Complies with all policies and standards.

No supervisory responsibilities

• Education Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field and 5 years of related experience; or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field and 3 year or related experience; or Equivalent combination of education and experience.
• Experience 2 - 4 years of relevant experience in AI application, data science, automation, or related technical work, including hands‑on experience building or contributing to LLM-enabled applications, agentic workflows, API integrations,
  
  Knowledge, Skills and Abilities Required:
  
  Intermediate to Advanced proficiency in Python and/or JavaScript/Type Script, including modular design, testing, and packaging.
• Intermediate proficiency with agent frameworks and agentic patterns: tool use, planning/execution loops, guardrails, evaluation, and prompt/version management.
• Intermediate proficiency building and consuming REST APIs, and integrating enterprise systems with OAuth/JWT, secrets management, and secure data handling.
• Intermediate proficiency with CI/CD, automated testing (unit/integration), linting, and observability for AI applications.
• Intermediate understanding of security best practices, architecture design principles, and responsible AI/data governance.
• Intermediate communication skills, written and verbal, 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 vector stores or retrieval‑augmented generation (RAG) patterns.
• Intermediate knowledge of AI‑native engineering using Claude Code, Codex, Git Hub Copilot, or equivalent coding agents.
• Preferred:
  Experience delivering evaluation frameworks, red‑teaming, or LLM observability tooling.

No travel is required for this position.

The base pay range for this position is $152,000 - $215,000 annually.

The…