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Tata Consultancy Services Linkedin · Posted 7d ago

AI Architect

Atlanta, Georgia, United States

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Indexed description

Job Description

sqlMust Have Technical/Functional Skills

  • Hands‑On Development & POCs
  • Build rapid POCs demonstrating:
  • Multi-agent collaboration
  • Autonomous task execution
  • Agents interacting with client’s APIs, data platforms, and operational systems
  • MCP‑based tool integrations for internal systems
  • Develop reference implementations using:
  • Vertex AI Agent Builder
  • Gemini models
  • GPT‑based agents
  • GCP AI Agentic capabilities (If not, Azure AI Agentic capabilities is fine)
  • Create debugging, observability, and evaluation frameworks for agent behavior.

Roles & Responsibilities

Agentic AI Strategy & Architecture

  • Define client’s Agentic AI vision, including multi-agent patterns, orchestration models, and enterprise integration strategy.

Lead Architecture For

  • A2A (Agent‑to‑Agent) protocol–based systems
  • MCP servers and tool providers
  • Agent orchestration frameworks (e.g., LangChain, LlamaIndex, Vertex AI Agents)
  • Tool‑calling and function‑calling ecosystems
  • Establish reusable patterns for agent autonomy, delegation, memory, and safety.

Enterprise Integration

Integrate Agentic Systems With Client’s

  • GCP data ecosystem (BigQuery, Pub/Sub, Cloud Run)
  • APIs, microservices, and event-driven systems
  • Identity, security, and governance frameworks
  • Define standards for agent safety, guardrails, and responsible autonomy.

Client Engagement & Sales Influence

  • Drive AI/Agentic use case discovery with client’s business and technology leaders.
  • Shape proposals, solution narratives, and executive presentations.
  • Act as the primary AI/Agentic technical advisor for the client’s account.

Cross‑Functional Leadership

  • Partner with cloud, data engineering, product, and business teams to deliver cohesive solutions.
  • Mentor engineers on agentic patterns, tool integration, and modern AI development.

TCS Employee Benefits Summary

  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Auto & Home Insurance, Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range-$120,000-$150,000 a year

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