About this role
Principal AI Architect at McKesson leading Responsible AI governance and standards across the enterprise, translating regulatory obligations into architectural patterns and mentor teams on responsible AI practices.
Key Responsibilities
- Define and maintain enterprise Responsible AI standards; Lead EARB reviews; Partner with Legal/Privacy/InfoSec to translate obligations; Develop enterprise AI ethics review process; Mentor ML engineers and platform engineers
Technical Overview
Broad AI/ML engineering and governance scope with deep knowledge of regulatory frameworks, enterprise AI standards, and hands-on tooling (SHAP, LIME, differential privacy, MLOps).
Ideal Candidate
The ideal candidate is a senior AI/ML architect with deep governance experience across enterprise AI systems, strong regulatory knowledge, and the ability to translate regulatory and contractual obligations into actionable technical requirements, mentoring teams across Legal, Compliance, and InfoSec.
Must-Have Skills
Degree or equivalent and typically requires 13+ yearswith 8+ yearsof direct work related experienceExtensive experience in AI/ML engineeringarchitectureor applied research with at least 3 years focused on AI governancefairnessor safetyDeep expertise in at least two: bias/fairness measurementexplainability methods (SHAPLIMEcounterfactual)adversarial robustnessdifferential privacyor AI safety alignmentExperience authoring enterprise-level AI standardspoliciesor reference architecturesStrong working knowledge of regulatory frameworks: NIST AI RMFEU AI ActISO 42001SOC 2 AI considerationsand sector-specific requirements
Nice-to-Have Skills
Experience with agentic AI architectures and governance challenges (tool-use authorizationmulti-agent orchestrationautonomous decision boundaries)Contributions to responsible AI open-source projects or industry standards bodiesHealthcare or pharmaceutical industry experienceMaster's degree or PhD preferred
Tools & Platforms
LangChainLlamaIndexSemantic KernelAutoGenPythonTensorFlowPyTorchDockerMLflowAzureAmazon Web Services
Required Skills
AI governanceResponsible AIfairnessexplainability (SHAPLIME)robustnessdifferential privacyAI safety alignmentNIST AI RMFEU AI ActISO 42001SOC 2 AI considerationsFDA SaMDEnterprise Architecture Review Board (EARB)model risk tieringgovernance standardstestable requirementsregulatory mappingcross-functional collaborationLangChainLlamaIndexSemantic KernelAutoGenMLOpsPythonTensorFlowPyTorchDockerAzureAWS
Hard Skills
AI governanceResponsible AIFairnessExplainability (SHAPLIME)RobustnessDifferential privacyAI safety alignmentNIST AI RMFEU AI ActISO 42001SOC 2 AI considerationsFDA SaMDModel risk tieringEARBRegulatory mappingRegulatory obligations translationLangChainLlamaIndexSemantic KernelAutoGenLLM governanceMLOpsTensorFlowPyTorchPythonDockerAzureAWSAPIsEnterprise platforms
Soft Skills
leadershipcommunicationstakeholder managementmentoringpresenting to executivesproblem-solvingstrategic thinking
Keywords for Your Resume
principal ai architectresponsible aiai governanceai ethicsai rmfnist ai rmfeu ai actiso 42001soc 2 ai considerationsfda samdenterprise ai standardsearbregulatory mappinglead enterprise reviewsml engineersdata scientistsplatform engineerstensorflowpytorchlangchainml engineerdata scientist
Deal Breakers
Must be legally authorized to work in the United States
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