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Chief Architect Artificial Intelligence

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: Tata Consultancy Services
Full Time position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations, AI Evaluation, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 180000 - 200000 USD Yearly USD 180000.00 200000.00 YEAR
Job Description & How to Apply Below

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 (Big Query, 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

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