Chief Architect - Artificial Intelligence

Location: Bay Area, California

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.

Responsibilities

• 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, and multi-model orchestration.
  • Align AI strategy to business priorities, portfolio growth, and differentiation.
• Agentic & GenAI Solution Design
  • Lead design of agentic systems (multi-agent workflows, orchestration models).
  • Define patterns for prompt engineering, Retrieval-Augmented Generation (RAG), and tool augmentation/API integration.
  • Ensure solutions are scalable, secure, and production-ready.
• AI Industrialization & Platforms
  • Drive AI platformization across the portfolio with reusable components, shared services, and APIs.
  • Build accelerators for AI-led onboarding, validation, and support workflows.
  • Establish AI as a horizontal capability across all towers (FDE, ISV, GWS, etc.).
• Data & AI Integration
  • Define architecture for data pipelines, feature stores, and real-time/batch processing.
  • Ensure tight integration between data platforms (BigQuery, Dataflow, etc.) and AI/ML models.
  • Enable data-to-AI lifecycle maturity.
• Governance, Risk & Responsible AI
  • Establish AI governance frameworks, including model evaluation, bias and safety checks, and explainability.
  • Ensure compliance with security, privacy, and regulatory standards.
  • Define guardrails for enterprise AI adoption.
• CXO Advisory & AI Evangelization
  • Act as the AI thought leader for client CXOs.
  • Lead AI strategy discussions, innovation workshops, and executive demos.
  • Translate AI capabilities into business outcomes and ROI-driven transformation cases.
• Deal Support & Technical Differentiation
  • Anchor the AI narrative in all strategic deals.
  • Work with BRMs and CTOs to shape AI-led solutions and position differentiated value propositions.
  • Support high-impact RFPs, orals, and executive pitches.
• Talent & Capability Building
  • Define capability roadmap for AI engineers, data scientists, and FDEs with AI specialization.
  • Drive AI bootcamps and certification pathways.
  • Build a high-caliber AI engineering ecosystem.

Success Metrics

• AI embedded across all major workflows and solutions.
• High adoption of AI accelerators and reusable components.
• Measurable business impact (cycle time reduction, cost savings, productivity gains).
• Strong AI-led differentiation in deals and client engagements.
• Mature AI governance and production-grade implementations.

Requirements

• 15–20+ years of experience in AI/ML architecture, data platforms, or advanced engineering roles.
• Deep expertise in GenAI (LLMs, RAG, agent frameworks) and cloud AI ecosystems (preferably Google Cloud/Vertex AI).
• Strong track record in designing and deploying enterprise-grade AI systems.
• Bachelor of Science (B.Sc) degree.

Preferred Qualifications

• Experience in agentic systems/autonomous workflows and AI platform engineering/MLOps.
• Exposure to multi-cloud AI environments.
• Strong executive communication and thought leadership presence.

Pay

$239,300 - $282,000 a year