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# AI Engineer

- **Company:** Tata Consultancy Services Limited
- **Location:** Atlanta, GA, United States
- **Salary:** $120,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, BigQuery, Databases, Information Engineering, Software Debugging, Identity and Access Management, Python (Programming Language), Routing, Rapid Prototyping Process, Standard Sql, Enterprise Software Applications, Chatbots, Large Language Models, Multi-Agent Systems, Backend, Event Driven Architecture, Low Latency, Google Cloud Functions, Enterprise Integration, Operational Systems, Data Management, Virtual Agents, GPT, Microservices
- **Published:** July 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3b7bc95b3eeb8d40

## About the Role

* Hands-On Development & POCs
 * Python technology + Additional backend knowledge
 * Hands on GCP experience (Vertex AI preferred)
 * Implemented access control mechanism, trusted AI solutions
 * Strong SQL (Big Query preferred)
 * Experienced API building
 * Hands-on Experience ADK framework or similar agent framework
 * Hands-on Experience AI/LLM application or chatbots
 * Domain knowledge Supply chain / transportation domain experience (e.g., logistics, TMS, routing, shipment visibility)

Able to build rapid POCs demonstrating:

 * Multi-agent collaboration
 * RAG/Vector databases
 * Autonomous task execution
 * IAM/Secure service integration
 * Agents interacting with client's APIs, data platforms, and operational systems
 * MCP-based tool integrations for internal systems

## Description

* Vertex AI Agent Builder
 * Agent Studio / AI Studio or rapid prototyping tools
 * Enterprise copilots or operational AI assistants
 * 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 Engineer

 * Develop AI agents/chatbots with tool integration (APIs, databases, services)
 * Build using ADK (Python required; Java or similar preferred)
 * Create multi-step agent workflows (reasoning, orchestration, context handling)
 * Rapidly prototype using Agent Studio / AI Studio (or equivalent)
 * Convert POCs to production services on GCP (Cloud Run / GKE)
 * Integrate with Vertex AI, BigQuery, enterprise systems
 * Implement guardrails, access controls, and monitoring
 * Optimize latency, cost, and reliability

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.


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