Chief Architect Artificial Intelligence

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

• 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

• 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

• 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.)

• 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

• 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

• 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

• 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

• 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