Job Description: 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 Responsibilities 1. AI Architecture & Strategy Define the end-to-end AI architecture vision: GenAI, ML, Data platforms, Agent frameworks Establish reference architectures and reusable patterns for: Vertex AI, LLMs, multi-model orchestration Align AI strategy to: Business priorities Portfolio growth and differentiation 2. Agentic & GenAI Solution Design Lead design of: Agentic systems (multi-agent workflows, orchestration models) Enterprise GenAI applications Define patterns for: Prompt engineering Retrieval-Augmented Generation (RAG) Tool augmentation / API integration Ensure solutions are: Scalable Secure Production-ready 3. AI Industrialization & Platforms Drive AI platformization across the portfolio: Reusable components Shared services and APIs Build accelerators for: AI-led onboarding Validation Support workflows Establish AI as a horizontal capability across all towers (FDE, ISV, GWS, etc.) 4. Data & AI Integration Define architecture for: Data pipelines Feature stores Real-time and batch processing Ensure tight integration between: Data platforms (BigQuery, Dataflow, etc.) AI/ML models Enable data-to-AI lifecycle maturity 5. Governance, Risk & Responsible AI Establish AI governance frameworks: Model evaluation Bias and safety checks Explainability Ensure compliance with: Security, privacy, and regulatory standards Define guardrails for enterprise AI adoption 6. CXO Advisory & AI Evangelization Act as the AI thought leader for client CXOs Lead: AI strategy discussions Innovation workshops Executive demos Translate AI capabilities into: Business outcomes ROI-driven transformation cases 7. Deal Support & Technical Differentiation Anchor the AI narrative in all strategic deals Work with BRMs and CTO to: Shape AI-led solutions Position differentiated value propositions Support high-impact: RFPs Orals Executive pitches 8. Talent & Capability Building Define capability roadmap for: AI en gineers Data scientists FDEs with AI specialization Drive: AI bootcamps Certification pathways Build a high-caliber AI engineering ecosystem Salary Range: $180,000-$200,000 a year