Chief AI Architect

Posted today

clifyxSacramento (CA)

Computer Systems Engineers/ArchitectsComputer Systems Design Services

SENIORITY

Manager

About the role

We are seeking a Chief AI Architect to define and drive the AI/GenAI architecture, solution strategy, and industrialization roadmap across a large-scale Google Cloud portfolio.This role is responsible for turning AI from experimentation into scalable, production-grade capabilities, enabling agentic workflows, platformized AI adoption, and measurable business outcomes across all engagements.Key Responsibilities1. AI Architecture & StrategyDefine the end-to-end AI architecture vision:GenAI, ML, Data platforms, Agent frameworksEstablish reference architectures and reusable patterns for:Vertex AI, LLMs, multi-model orchestrationAlign AI strategy to:Business prioritiesPortfolio growth and differentiation2. Agentic & GenAI Solution DesignLead design of:Agentic systems (multi-agent workflows, orchestration models)Enterprise GenAI applicationsDefine patterns for:Prompt engineeringRetrieval-Augmented Generation (RAG)Tool augmentation / API integrationEnsure solutions are:ScalableSecureProduction-ready3. AI Industrialization & PlatformsDrive AI platformization across the portfolio:Reusable componentsShared services and APIsBuild accelerators for:AI-led onboardingValidationSupport workflowsEstablish AI as a horizontal capability across all towers (FDE, ISV, GWS, etc.)4. Data & AI IntegrationDefine architecture for:Data pipelinesFeature storesReal-time and batch processingEnsure tight integration between:Data platforms (BigQuery, Dataflow, etc.)AI/ML modelsEnable data-to-AI lifecycle maturity5. Governance, Risk & Responsible AIEstablish AI governance frameworks:Model evaluationBias and safety checksExplainabilityEnsure compliance with:Security, privacy, and regulatory standardsDefine guardrails for enterprise AI adoption6. CXO Advisory & AI EvangelizationAct as the AI thought leader for client CXOsLead:AI strategy discussionsInnovation workshopsExecutive demosTranslate AI capabilities into:Business outcomesROI-driven transformation cases7. Deal Support & Technical DifferentiationAnchor the AI narrative in all strategic dealsWork with BRMs and CTO to:Shape AI-led solutionsPosition differentiated value propositionsSupport high-impact:RFP sOralsExecutive pitches8. Talent & Capability BuildingDefine capability roadmap for:AI engineersData scientistsFDEs with AI specializationDrive:AI bootcampsCertification pathwaysBuild a high-caliber AI engineering ecosystemRequired Qualifications15–20+ years of experience in:AI/ML architecture, data platforms, or advanced engineering rolesDeep expertise in:GenAI (LLMs, RAG, agent frameworks)Cloud AI ecosystems (preferably Google Cloud / Vertex AI)Strong track record in:Designing and deploying enterprise-grade AI systemsPreferred QualificationsExperience in:Agentic systems / autonomous workflowsAI platform engineering and MLOpsExposure to:Multi-cloud AI environmentsStrong executive communication and thought leadership presenceSuccess Metrics (What Good Looks Like)AI embedded across all major workflows and solutionsHigh adoption of AI accelerators and reusable componentsMeasurable business impact (cycle time reduction, cost savings, productivity gains)Strong AI-led differentiation in deals and client engagementsMature AI governance and production-grade implementations

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