Walk-in || Tcs Opportunity For AI Engineer/ Gen AI

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. Experience Range: 4 10 Yrs What we are looking for Must Have Platform & Architecture Architect and design AI &ML ecosystems leveraging Dataiku (on Kubernetes / EKS), Posit, and SageMaker . Define cloud-native architectures on AWS integrating EKS, S3, Lambda, API Gateway, and SageMaker for analytics and AI workloads. Design data-to-insight pipelines including ingestion, transformation, feature engineering, and consumption layers. GenAI Enablement & Patterns Design and implement GenAI solution patterns , including: RAG (Retrieval-Augmented Generation) pipelines (chunking, embeddings, vector search, retrieval optimization) Agentic workflows (tool/function calling, multi-step reasoning, memory) Prompt engineering frameworks (template management, evaluation, guardrails) Semantic search and knowledge augmentation systems Integrate LLMs using Azure OpenAI, AWS Bedrock, Snowflake Cortex Design enterprise-grade GenAI guardrails , including: Hallucination mitigation Response grounding and traceability Safety, bias, and compliance controls Establish evaluation frameworks for GenAI systems , including: Retrieval quality Response accuracy and relevance Latency and cost optimization Tools, Libraries & Frameworks Enable and standardize usage of: LangChain, LangGraph, LlamaIndex for orchestration and agent design Hugging Face Transformers for model integration and experimentation Vector databases (FAISS, OpenSearch, Pinecone, Chroma) ML/AI frameworks (PyTorch, TensorFlow, scikit-learn) Integrate GenAI workflows into: Dataiku pipelines (recipes, plugins, scenarios) Posit notebooks and analytical workflows SageMaker pipelines and endpoints Self-Service & Insight Delivery Enable self-service analytics and AI workflows through governed datasets, reusable features, and standardized templates. Design semantic layers and data models aligned with business domains for consistent insight consumption. Deliver insights via dashboards, APIs, notebooks, and GenAI-powered conversational interfaces . Governance, MLOps & Observability Define and implement DataOps/MLOps practices : CI/CD pipelines for data and ML workflows Model versioning, monitoring, and reproducibility Experiment tracking and lineage Establish governance frameworks across: Data quality and lineage Model performance and drift GenAI safety and compliance Monitor and optimize platform performance, cost, and usage adoption . Collaboration & Enablement Collaborate with business, engineering, and data science teams to translate requirements into scalable insight and AI solutions . Build reusable accelerators, frameworks, and best practices for analytics and GenAI adoption. Mentor teams and drive design-led, self-service-first culture in insight delivery. Required Qualifications Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field Strong experience in data/AI architecture, insight enablement, or analytics platforms Hands-on expertise with: Dataiku (including EKS deployment) Posit (RStudio/Workbench) AWS SageMaker (training, deployment, pipelines) Strong understanding of: Modern data architectures (Datamesh, lakehouse, semantic layers, data products) GenAI patterns (RAG, agents, prompt engineering) MLOps/DataOps practices Proficiency in Python and/or R Experience with vector databases and LLM integration frameworks Minimum Qualification: 15 years of full-time education Face to Face interview on 8th Aug 2026 (Saturday ) at TCS Location in Chennai and Bengaluru N.B. There is no virtual interview possible , if you are interested then only apply. Disclaimer: We encourage you to register at www.tcs.com/careers for exploring an exciting career with TCS. At the time of your application to TCS, the personal data contained in your application and resume will be collected by TCS and processed for the purpose of TCS's recruitment related activities. Your personal data will be retained by TCS for as long as TCS determines it is necessary to evaluate your application for employment as per our retention policy. You have the right to request TCS for temporary/permanent exclusion of your candidature from any recruitment related communication . For any such request you may write to careers.tcs.com. Regards Nafisa Begum HR-Talent Acquisition Tata Consultancy Services