Chief Architect Artificial Intelligence - Santa Clara, CA | TCS Job

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