Chief Architect Artificial Intelligence
Listed on 2026-09-13
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IT/Tech
AI Engineer (Applied/Software), AI Business & Operations, AI Evaluation, Machine Learning/ ML Engineer
Lead Design Of
Agentic systems (multi-agent workflows, orchestration models)
Define Patterns ForPrompt engineering
Job DescriptionWe 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- AI Architecture & Strategy
GenAI, ML, Data platforms, Agent frameworks
Establish Reference Architectures And Reusable Patterns ForVertex AI, LLMs, multi-model orchestration
Align AI Strategy ToBusiness priorities
Portfolio growth and differentiation
- Agentic & GenAI Solution Design
Agentic systems (multi-agent workflows, orchestration models)
Enterprise GenAI applications
Define Patterns ForPrompt engineering
Retrieval-Augmented Generation (RAG)
Tool augmentation / API integration
Ensure Solutions AreScalable
Secure
Production-ready
- AI Industrialization & Platforms
Reusable components
Shared services and APIs
Build Accelerators ForAI-led onboarding
Validation
Support workflows
Establish AI as a horizontal capability across all towers (FDE, ISV, GWS, etc.)
- Data & AI Integration
Data pipelines
Feature stores
Real-time and batch processing
Ensure Tight Integration BetweenData platforms (Big Query, Dataflow, etc.)
AI/ML models
Enable data-to-AI lifecycle maturity
- Governance, Risk & Responsible AI
Model evaluation
Bias and safety checks
Explainability
Ensure Compliance WithSecurity, privacy, and regulatory standards
Define guardrails for enterprise AI adoption
- CXO Advisory & AI Evangelization
Act as the AI thought leader for client CXOs
LeadAI strategy discussions
Innovation workshops
Executive demos
Translate AI Capabilities IntoBusiness outcomes
ROI-driven transformation cases
- Deal Support & Technical Differentiation
Anchor the AI narrative in all strategic deals
Work With BRMs And CTO ToShape AI-led solutions
Position differentiated value propositions
Support High-impactRFPs
Orals
Executive pitches
- Talent & Capability Building
AI en gineers
Data scientists
FDEs with AI specialization
DriveAI bootcamps
Certification pathways
Build a high-caliber AI engineering ecosystem
Salary Range: $180,000-$200,000 a year
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