AI Engineer

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

Benefits offered by this job

Discretionary annual incentive

Comprehensive medical coverage

Parental leaves

Insurance options

Commuter benefits & training reimburse

Vacation & holidays

Legal & financial assistance

Job summary

Tata Consultancy Services in Johns Creek, GA is seeking an AI/ML engineer to design and implement AI agents and chatbots with secure tool integrations. You will prototype using ADK frameworks, convert POCs to production on GCP, and ensure scalable, observable deployments with Vertex AI and BigQuery.

Role requires strong Python skills and backend experience, plus domain knowledge in supply chain/transportation and multi-agent collaboration capabilities.

Qualifications

• Proven hands-on development with Python and backend systems.
• Experience building AI agents and chatbots.
• Strong GCP experience, Vertex AI preferred and BigQuery.
• Experience with access control, secure integrations, and IAM.
• Domain knowledge in supply chain/transportation.

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 and rapid prototyping 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

POCs

API development

AI/LLM apps

Multi-agent collaboration

RAG/Vector databases

Autonomous task execution

IAM/Secure integration

Agent interactions with APIs/data

Supply chain domain knowledge

Tools

Vertex AI

Vertex AI Agent Builder / Agent Studio

BigQuery

GCP / Google Cloud

GKE / Cloud Run

Azure AI Agentic capabilities

ADK framework

APIs integration

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 modelsGPT‑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

• 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

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