Back to search
Tata Consultancy Services Linkedin · Posted 7d ago

AI Engineer

Atlanta, Georgia, United States

Linkedin
Continue to application Add your email once, then Caio opens the original posting.

Indexed description

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.

Salary Range-$120,000-$140,000 a year

Free. 20 seconds. No password. See every match in this search.

Create a free Caio profile to unlock more results and save your role and location preferences.

Unlock free search
Want help applying to roles like this? Search Caio for free. If repetitive applications get heavy, Managed Job Search adds supervised execution for $99/month.
View Managed Job Search