AI Engineer

Tata Consultancy Services; Atlanta (GA); On-site; USD 120,000 - 140,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage: Health

Family Support: Parental Leaves

Identity Theft Protection

Certification & Training Reimbursement

Vacation, Time Off, Holidays

Job summary

Tata Consultancy Services is seeking an experienced Agentic AI Engineer in Atlanta to develop AI agents and chatbots with tool integration across APIs, databases, and services. You will build scalable workflows using ADK and rapid prototyping tools, then productionize on GCP with Vertex AI and BigQuery.

The role emphasizes security, guardrails, and performance, with cross-functional collaboration across cloud, data, product, and business teams.

Qualifications

• Must have Python experience and backend knowledge.
• Hands-on GCP experience; Vertex AI preferred.
• Strong SQL with BigQuery experience.
• Experience building APIs and agent workflows.
• Familiarity with ADK or similar agent frameworks.
• Hands-on AI/LLM application or chatbot experience.
• Supply chain/transportation domain knowledge recommended.

Responsibilities

• 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.

Skills

Python

GCP

SQL/BigQuery

APIs

ADK framework

AI/LLM apps

Multi-agent systems

Vertex AI

IAM/Secure integration

Domain knowledge (supply chain)

Tools

Vertex AI Agent Builder

Agent Studio

GPT-based agents

Job description

Must Have Technical/Functional Skills

• 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 in supply chain / transportation domain (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

Salary Range

• $120,000-$140,000 a year