Summary
✨ AI‑Generated
An AI engineering role focused on building intelligent applications, integrating AI agents, developing prototypes, and deploying secure enterprise AI solutions.
Highlights
Build advanced AI solutions using cloud platforms, generative AI technologies, and autonomous agent architectures.
Description
Job Description
Must Have Technical/Functional Skills
Hands‑On Development & POCsPython technology + Additional backend knowledgeHands on GCP experience (Vertex AI preferred)Implemented access control mechanism, trusted AI solutionsStrong SQL (Big Query preferred)Experienced API building Hands-on Experience ADK framework or similar agent frameworkHands-on Experience AI/LLM application or chatbotsDomain knowledge Supply chain / transportation domain experience (e.g., logistics, TMS, routing, shipment visibility)
Able To Build Rapid POCs Demonstrating
Multi-agent collaborationRAG/Vector databasesAutonomous task executionIAM/Secure service integrationAgents interacting with client’s APIs, data platforms, and operational systemsMCP‑based tool integrations for internal systems
Develop Reference Implementations Using
Vertex AI Agent BuilderAgent Studio / AI Studio or rapid prototyping toolsEnterprise copilots or operational AI assistantsGemini modelsGPT‑based agentsGCP 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 systemsImplement guardrails, access controls, and monitoringOptimize 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 systemsIdentity, security, and governance frameworksDefine 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
