Technical Lead - Rapid Build Factory

Tata Consultancy Services Limited; Thiruvananthapuram; Vor Ort; INR 3.000.000 - 6.000.000; Vollzeit

Zusammenfassung

Tata Consultancy Services (TCS) seeks a Technical Lead for the Rapid Build Factory to provide hands-on technical leadership, guiding GenAI, agentic AI, cloud, and enterprise solutions to be scalable, secure, observable, and production-ready.

You will mentor developers, review designs, and drive architecture decisions across Azure, AWS, or GCP, with emphasis on end-to-end orchestration, memory management, and governance.

Qualifikationen

• 8+ years in software engineering with technical leadership and enterprise solution delivery.
• Hands-on backend experience with Python, Java, .NET, or Node.js and APIs.
• Practical experience with GenAI, agentic AI, RAG, model evaluation, guardrails, memory, vector search, AI observability, and production engineering.

Aufgaben

• Guide developers on architecture, design patterns, coding standards, troubleshooting, and technical decisions; review designs, code, integrations, and deployments.
• Create GenAI solutions across business domains and convert prototypes into scalable, reliable, supportable, and production-grade solutions.
• Design agentic systems that combine large language models with planning, session and long-term memory, function calling, enterprise tools, and end-to-end orchestration.
• Design single-agent and multi-agent workflows using coordinator-worker, reflection, fallback, and intelligent tool-routing patterns.
• Guide cloud-native AI delivery across Azure, AWS, or GCP using managed AI services, serverless computing, containers, Kubernetes, CI/CD, and infra automation.
• Implement retrieval-augmented generation using vector databases, search platforms, relevant retrieval strategies, prompt engineering, structured outputs, and context optimization.
• Establish evaluation harnesses, responsible AI and safety guardrails, and observability through logs, metrics, traces, dashboards, alerts, and telemetry.
• Ensure security, access control, data protection, auditability, memory retention and privacy controls, architecture governance, and cost management.
• Collaborate with platform, product, and use-case teams; coach developers, remove blockers, and promote reusable engineering assets.

Kenntnisse

GenAI & agentic AI

Cloud platforms

Backend development

Architectural leadership

LangChain / AI frameworks

Azure/AWS/GCP deployments

Ausbildung

BE/B.Tech/MCA/M.Sc./MS with minimum 8 years IT-experience

Tools

LangChain

LangGraph

CrewAI

AutoGen

Semantic Kernel

Bedrock AgentCore

Jobbeschreibung

TCS has been a great pioneer in feeding the fire of young Techies like you. We are a global leader in the technology arena and there’s nothing that can stop us from growing together. Your role is of key importance, as it lays down the foundation for the entire project.

Make sure you have a valid EP number before interview.

To create an EP Number, please visit TCS iBegin

Kindly complete the registration if you have not done it yet.

Position: Technical Lead - Rapid Build Factory

Experience: 8 to 12 years

Required Information

Details

Role Purpose:

Provide hands-on technical leadership to RBF teams and ensure GenAI, agentic AI, cloud, and enterprise solutions are scalable, secure, observable, governed, and production-ready.

Key Responsibilities

• Guide developers on architecture, design patterns, coding standards, troubleshooting, and technical decisions; review designs, code, integrations, and deployments.
• Create GenAI solutions across business domains and convert prototypes into scalable, reliable, supportable, and production-grade solutions.
• Design agentic systems that combine large language models with planning, session and long-term memory, function calling, enterprise tools, and end-to-end orchestration.
• Design single-agent and multi-agent workflows using coordinator-worker, reflection, fallback, and intelligent tool-routing patterns.
• Guide cloud-native AI delivery across Azure, AWS, or GCP using managed AI services, serverless computing, containers, Kubernetes, continuous integration and deployment, and infrastructure automation.
• Implement retrieval-augmented generation using vector databases, search platforms, relevant retrieval strategies, prompt engineering, structured outputs, and context optimization.
• Establish evaluation harnesses, responsible AI and safety guardrails, and observability through logs, metrics, traces, dashboards, alerts, and cost, quality, performance, and reliability telemetry.
• Ensure security, access control, data protection, auditability, memory retention and privacy controls, architecture governance, and cost management.
• Collaborate across platform, product, and use-case implementation teams; coach developers, remove blockers, and promote reusable engineering assets.

Required Experience and Skills

• 8+ years in software engineering, including technical leadership and enterprise solution delivery.
• Hands-on expertise in at least one backend stack such as Python, Java, .NET, or Node.js, with APIs and modern application architecture.
• Practical experience with GenAI, agentic AI, RAG, model evaluation, guardrails, memory, vector search, AI observability, and production engineering.
• Experience with agent frameworks and protocols such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, Microsoft Agent Framework, ADK, MCP, A2A, Bedrock AgentCore, or Strands Agents SDK.
• Experience with Azure OpenAI and Azure AI Foundry, Vertex AI and Agentspace, Amazon Bedrock or SageMaker, and cloud deployment services is preferred.
• Experience with vector databases or search technologies such as Pinecone, Milvus, Weaviate, FAISS, Elastic, or OpenSearch.
• Strong knowledge of prompt engineering patterns, including system prompts, reusable templates, structured outputs, and context management.
• Strong understanding of cloud security, governance, performance testing, incident readiness, technical documentation, and stakeholder communication.

Preferred Profile

• Hands-on technical leader who balances rapid delivery with quality, maintainability, security, and operational readiness.
• Experience taking AI or cloud solutions from prototype through pilot and production.
• Relevant cloud, architecture, AI, DevOps, or Kubernetes certifications are an advantage.

Professional Skills:

Strong analytical, problem‑solving, communication, and ownership mindset.

TCS Eligibility Criteria: *BE/B.tech/MCA/M.Sc./MS with minimum 8 years of relevant IT-experience post

Qualification.

• Only Full-Time courses would be considered.
• Candidates who have attended TCS interview in the last 1 months need not apply.