AI Architect

Tata Consultancy Services Ltd

  • Atlanta, GA
  • 30+ days ago
  • $120,000–$150,000 Per Year

Highlights

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. 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.

Numbers & Facts

LocationAtlanta, GA
Salary$120,000–$150,000 Per Year

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.

#LI-KR3

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

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