AI Engineer

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

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Role: Engineer

Desired skills: Artificial Intelligence | Python | SQL

Experience: 5 - 10 Years

Job function: TECHNOLOGY

Location: Atlanta, GA

Salary range: $120,000–$140,000

Apply by: 2026-08-30 00:00:00