AI and Agentic Engineer II Job Alameda area,California USA,Software Development

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

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,

Required Knowledge,

Skills and Abilities

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,…