About this role
Job Details
Posted 9 October, 2026
Job Id: 629579
AI Test Lead
Location
Alameda, California
Category: Technology
Salary
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Country: United States
Employment: Contract
Worksite: On-Site
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Job Description
MARKET RATE
Role Overview
Seeking a forward-thinking AI Platform Test Lead to design, build, and operationalize the QE testing leveraging AI tools and utilities to accelerate innovation in IT’s Software Development Lifecycle.
This role will lead the design, implementation and operations of AI QE testing platforms, tools and utilities to support a multi-platform AI ecosystem, spanning AWS (Bedrock, SageMaker), Databricks (Mosaic AI), Claude for Enterprise, and emerging AI-native / agentic engineering tools and platforms. The AI QE test platforms will also be used with non-AI software products. This role will ensure scalable, secure, and compliant deployment of AI capabilities while enabling rapid experimentation and adoption.
A critical success factor is the ability to stay ahead of industry trends, quickly validate new technologies, and operationalize high-value capabilities in a regulated life sciences environment.
Key Responsibilities
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AI QE Test Platform Strategy & Architecture
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o Help define and mature Exelixis’ enterprise AI QE Test platform architecture across cloud and data ecosystems
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o Design interoperable AI driven QE test solutions to support software solutions to support
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o AWS AI stack (Bedrock, SageMaker, model hosting, orchestration)
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o Databricks / Mosaic AI (ML lifecycle, feature engineering, LLM ops)
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o Claude for Enterprise (secure conversational AI and enterprise workflows)
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o SaaS and in-house developed software products
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AI Capability Engineering & Operations
o Operationalize reusable AI capabilities:
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§ Prompt, tool, and agent orchestration frameworks
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§ Evaluation, monitoring, and observability pipelines
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§ Enable secure, compliant AI usage (GxP, HIPAA where applicable)
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o Implement AI platform guardrails
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o Auditability and traceability
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Design and operationalize Defect Statistics
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Drive adoption of agentic software development lifecycle (SDLC) practices
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Define frameworks for:
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o Spec-driven agentic development (Claude Code, Github Copilot, code agents)
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o Autonomous/semiautonomous agents across workflows
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Integrate AI-native platforms into enterprise engineering workflows (CI/CD, DevSecOps)
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Required Qualifications
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5+ years in software quality engineering and testing, AI/ML engineering
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3+ years hands-on experience with AI Test platforms (AWS preferred)
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Proven experience with:
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o Experience with one or more AI QE Testing Platforms: Tricentis Testim/Tosca, ACCELQ, Mabl, LambdaTest, Katalon
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o Enterprise LLM platforms (e.g., Claude, OpenAI, or similar)
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o Strong understanding of LLM architectures (RAG, fine-tuning, embeddings, Vector DBs, Graph DBs, Multi agent orchestration)
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Preferred Qualifications
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Familiarity with:
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o GxP validation processes for AI/ML systems
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Exposure to:
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o Agent frameworks (LangChain, Semantic Kernel, etc.)
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o AI testimg and evaluation tooling
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o Multi-cloud / hybrid architectures
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Key Competencies
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Strategic + hands-on balance (thinks like an architect, executes like an engineer)
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Ability to translate emerging AI trends into enterprise value
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Strong systems thinking across platforms, data, and workflows
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Excellent stakeholder communication–able to influence senior leadership and engineering teams alike
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Bias for action–rapid experimentation and iterative delivery
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Equal Opportunity Employer
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We are proud to be an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of race, sex, gender identity or expression, disability, age, religion or belief, sexual orientation, or any other characteristic protected by applicable laws and regulations. It is our policy not to discriminate against any applicant or employee, and we are committed to fostering a diverse, inclusive, and respectful work environment across all locations in which we operate. We believe that diversity, equity, and inclusion are fundamental to our mission and enhance our ability to serve clients globally. If you have a disability or require any reasonable accommodations during the application or interview process, please inform your recruiter or contact us(opens in new tab) directly so that we can explore the appropriate arrangements.
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Fraud Alert
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Candidate safety is a top priority at Planet Pharma. The industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the Recruiter to ensure it’s from an official Planet Pharma domain (@planet-pharma.com, @planet-pharma.co.uk, and @ppgadvisorypartners.com) and not a domain with an alternative extension like .net, .org or .jobs.
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