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TCS is Hiring For AI Architect Walk-in For Pune
Experience: 4- 12
Location: Pune
Role : AI Architect
(Interview Mode : Walk in Drive! -Date : 01-August-2026 (Saturday)
Time : 9:30 AM - 1:00 PM
Address : TAJ Vivanta Pune
Xion Complex, Hinjawadi Road,
Hinjawadi Phase 1, Pune,
Maharashtra 411057
Must Have
Job ID: 151743863
Skills:
Java, Oauth2, Jwt, Spring Boot, J2EE, Microservices, MLops, Gcp, Docker, Distributed Systems, Azure, Kubernetes, AWS, cloud platforms, vector databases, CI CD, AI ML service integration, LLM orchestration
Skills:
process mining , Enterprise Architecture, Intelligent Search, Digital Transformation, AI lifecycle management, Automation Engine, Generative AI, AI Agents, ServiceNow Now Assist, Document Intelligence, Virtual Agent, ServiceNow Certified Implementation Specialist – ITSM CIS-ITSM, ServiceNow AI Capabilities, ServiceNow Certified System Administrator CSA, workflow automation, Predictive Intelligence, ServiceNow Certified Application Developer CAD, Large Language Models LLMs, MLOps concepts
Skills:
Agile Scrum frameworks, Tool Calling, IDE-based AI assistants, vector databases, Claude, Windsurf, LangChain, AI-enabled software delivery, AI Observability, AI development tools, Evaluation Frameworks, Code Cursor, Semantic Kernel, AutoGen, agentic workflows, GitHub Copilot, MCP Model Context Protocol, RAG, DevSecOps pipelines, Prompt Engineering, Function Calling, Retrieval Augmented Generation, LlamaIndex, Multi-agent orchestration
Skills:
Tensorflow, Nlp, Pytorch, MLops, Python, Machine Learning Algorithms, LangChain, Generative AI, auto-documentation, model governance, CI CD for ML workflows, LLMs, HuggingFace, AI agent development, vector databases, predictive insights, prompt engineering, hybrid multi-cloud architectures, Q A systems, oci, RAG pipelines, building scaling and optimizing AI systems, fine-tuning LLMs
Skills:
Cnn, Gcp, MLops, Azure, AWS, LangChain, LSTM, DeepEval, generative AI, Qdrant, AI evaluation frameworks, RAGAS, deep learning methods, FAISS, Hugging Face transformers, large language models, VAE, LlamaIndex