AI Engineer

Job 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

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-$140,000 a year </div