✦ Luna Orbit — AI & Machine Learning

Sr Quality Engineer I

at Gilead Sciences

📍 United States - California - Foster City Unknown 💰 $136K – $176K USD / year Posted March 13, 2026
Salary $136K – $176K USD / year
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category AI & Machine Learning

A senior architect role focusing on designing and delivering AI-powered clinical solutions, including generative AI and LLMs, leveraging AWS cloud infrastructure.

  • Architect AI solutions
  • Lead AI/ML delivery
  • Implement generative AI
  • Partner with stakeholders
  • Drive AI automation

Involves architecture, solution design, and implementation of AI/ML solutions, with a focus on generative AI, LLMs, and cloud-native deployment.

The ideal candidate is a technical lead with expertise in AI and machine learning, particularly in deploying generative AI solutions on AWS cloud platforms, with experience in architecture and solution design.

AIMachine LearningAWSCloud-native solutionsSolution ArchitectureGenerative AILLMsRAG
AI-powered developmentAI automationData ScienceAI/ML lifecycleGenerative AI implementation
AWSAmazon Web ServicesAI toolingData Platforms
AIArtificial IntelligenceMLMachine LearningAWSAmazon Web ServicesCloud-nativeGenerative AILLMsRAGSolution Architecture
AIArtificial IntelligenceMLMachine LearningAWSAmazon Web ServicesCloud-nativeGenerative AILLMsLarge Language ModelsRetrieval-Augmented GenerationRAGAI/ML solutionsSolution DesignSolution ArchitecturePythonAPIsData PlatformsInfrastructureAI tooling
leadershipproblem-solvingcollaborationcommunicationtechnical mentorship
Industry Healthcare IT
Job Function Technical leadership in AI/ML solution development for healthcare applications
AIArtificial IntelligenceMLMachine LearningAWSAmazon Web ServicesCloud-nativeGenerative AILLMsLarge Language ModelsRetrieval-Augmented GenerationRAGSolution ArchitectureAI/ML solutionsSolution DesignCloud-native solutionsAI toolingAI automation

Lack of experience with AI/ML in cloud environments, No experience with generative AI or LLMs, Inability to lead technical teams

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