Tata Consultancy Services

AI Engineer

Tata Consultancy Services • $120K — $140K *
Atlanta, GA 30349In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5-7 years of experience in hands-on development and proof of concepts (POCs)
  • Proficient in Python and understanding additional backend technologies
  • Experienced with Google Cloud Platform (GCP) focusing on Vertex AI
  • Knowledge in implementing access control and trusted AI solutions
  • Strong SQL skills, with BigQuery experience preferred
  • Proficient in API development and integration
  • Familiar with agent frameworks, particularly ADK or similar

Responsibilities

  • Design and develop AI agents/chatbots utilizing tool integrations
  • Create multi-step workflows leveraging reasoning and context handling
  • Rapidly prototype applications using Agent Studio or similar tools
  • Transition POCs to production services utilizing GCP environments
  • Ensure integration with Vertex AI, BigQuery, and existing enterprise systems
  • Establish guardrails and monitoring mechanisms for deployed agents
  • Optimize systems for latency, cost-effectiveness, and reliability

Benefits

  • Discretionary annual incentive program
  • Comprehensive medical coverage including health, dental, and vision
  • Parental leave benefits for family support
  • Various insurance options for personal and property protection
  • Reimbursement for certifications and training to foster professional growth
  • Generous time-off policy, including vacation, sick leave, and holidays
  • Legal and financial assistance services including student loan refinancing
Full 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 clients 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 clients:
  • 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 clients business and technology leaders.
  • Shape proposals, solution narratives, and executive presentations.
  • Act as the primary AI/Agentic technical advisor for the clients 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

About Tata Consultancy Services

Tata Consultancy Services (TCS) is an Indian multinational information technology (IT) services and consulting company, headquartered in Mumbai, Maharashtra, India. It is a subsidiary of Tata Group and operates in 149 locations across 46 countries. TCS is the largest Indian company by market capitalization and is ranked 11th on the Forbes Global 2000 list of the world's biggest public companies. TCS is also the second-largest IT services company in the world by revenue and the largest employer of women in India. The company provides services in areas including IT, consulting, and business solutions.
Learn more about Tata Consultancy Services
Size
469,261 employees
Industry
Information Technology
* Ladders Estimates

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