Head of AI Quality, Assurance and Evaluation
Santa Clara, CAAll locationsSanta Clara, CASpain-BarcelonaUS-CA-Santa Clara On-site
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About the role
Agilent inspires and supports discoveries that advance the quality of life by providing life science, diagnostic, and applied market laboratories worldwide with instruments, services, consumables, applications, and both measurement and asset management expertise. Owns trustworthy deployment of AI in the enterprise. Design-in risk management, evaluation, compliance, and other required constraints into the Enterprise AI solutions development and deployment stack. Ensure the required technological capabilities across four pillars: Data Substrate (lineage at ingest), Data Plane (semantic grounding), Agentic plane (evaluation and observability), and Activation (risk-tiered human-in-the-loop). This role exists to make safe deployment fast by leveraging technology to enable quality, regulatory, risk, and other guardrails. For example, leveraging Eval gates to replace manual reviews; auditability instead of after-the-fact forensics.
What you'll bring
- Experience building or operating ML/LLM evaluation infrastructure in production, not only authoring policy.
- Working knowledge of regulated computerized systems
- The credibility to be trusted by both engineers and compliance officers, and the translation skill to keep them out of each other's way.
- Curiosity about AI, its potential and its pitfalls.
- The field moves monthly, and the people who thrive here are genuinely curious about both sides of it: what these systems can newly do, and where they fail, mislead, or quietly degrade.
- We want people who read the failure analyses as eagerly as the launch posts, who experiment on their own initiative, and who hold excitement and skepticism at the same time without letting either one win permanently.
- Lifelong learners.
- Whatever expertise a candidate arrives with will be partially obsolete within a year, and that is not a defect of the candidate
- it is the condition of the field.
- We hire people who have reinvented their toolkit before and expect to do it again, who learn in public, and who treat being wrong as information rather than injury.
- A history of deliberate self-reinvention counts for more than any single credential.
- Excellent communication and the ability to influence.