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.
ESSENTIAL DUTIES/RESPONSIBILITIES
- 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
SUPERVISORY RESPONSIBILITIES
- No supervisory responsibilities
EDUCATION/EXPERIENCE/KNOWLEDGE/SKILLS & ABILITIES
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.
- Strong hands-on experience building AI-enabled applications and agentic workflows on top of 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.
Knowledge, Skills and Abilities
Required:
- Intermediate to Advanced proficiency in Python and/or JavaScript/TypeScript, 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, GitHub Copilot, or equivalent coding agents.
Preferred:
- Experience delivering evaluation frameworks, red-teaming, or LLM observability tooling.
Travel Requirements
- No travel is required for this position.
#LI-EZ1
Location: Alameda, CA

Range for this position: $170,000 - $215,000

The base pay offered will take into account job-related knowledge, skills, experience and internal equity, among other factors.
In addition to the base salary, as part of our Total Rewards program, Exelixis offers comprehensive employee benefits package, including a 401k plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan. Exelixis also offers employees the opportunity to purchase company stock, and receive long-term incentives, 15 accrued vacation days in their first year, 17 paid holidays including a company-wide winter shutdown in December, and up to 10 sick days throughout the calendar year.
If you have a disability and need an accommodation in relation to the recruiting process, please email us at: ApplicantAccommodations@exelixis.com.
WORKING CONDITIONS:
Our office is a modern space that fosters collaboration and creativity. Teams work closely together, sharing ideas and solutions in a supportive atmosphere. We provide all necessary equipment, including dual monitors and ergonomic chairs, to ensure a comfortable workspace.
DISCLAIMER:
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
