Chief Architect Artificial Intelligence

Tata Consultancy Services; Santa Clara (CA); On-site; USD 180,000 - 200,000; Full time

Job summary

Tata Consultancy Services, a global technology services leader, seeks a Chief AI Architect to define and drive the AI/GenAI architecture, solution strategy, and industrialization roadmap across a Google Cloud portfolio. The role turns AI from experimentation into scalable, production-grade capabilities enabling agentic workflows and measurable business outcomes.

Lead design of agentic systems and enterprise GenAI applications; establish reference architectures for Vertex AI, LLMs, and

Qualifications

• Experience defining large-scale AI architectures and roadmaps.
• Proven leadership of cross-functional AI initiatives with measurable outcomes.
• Strong understanding of GenAI platforms, data platforms, and governance.

Responsibilities

• Define and drive the AI/GenAI architecture strategy across a Google Cloud portfolio.
• Lead design of agentic systems and enterprise GenAI applications.
• Establish reference architectures and reusable patterns for Vertex AI and LLMs.
• Ensure scalable, secure, production-ready AI solutions with governance.

Skills

AI Architecture

Strategy

GenAI

Cloud Architectures

Stakeholder Leadership

Tools

Vertex AI

LLMs

Data Platforms

APIs

Job description

Lead Design Of

Agentic systems (multi-agent workflows, orchestration models)

Define Patterns For

Prompt engineering

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