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AI Engineer

Tata Consultancy Services Ltd

  • Johns Creek, GA
  • 30+ days ago
  • $120,000–$140,000 Per Year

Highlights

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. 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.

Numbers & Facts

LocationJohns Creek, GA
Salary$120,000–$140,000 Per Year

Description

Must Have Technical/Functional Skills

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

Develop reference implementations using:

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

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-$140,000 a year

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