Job Requirements

· 10+ years of experience

. 5+ years in AI/Gen AI

. Proven experience in architecting and deploying AI/Gen AI systems in production environments

. Ability to design scalable, robust, and secure solutions with a focus on Gen AI,

. Comprehensive knowledge about Gen AI platforms and architecting integrated solutions

. Large Language Models (LLMs), and other advanced AI technologies

. Understanding of microservices, APIs and integration with existing systems

. Expertise in designing Gen AI solutions for enterprise use cases

. Proficiency in Python or R, along with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn)

. Experience with cloud-based AI services (e.g., AWS, Azure, GCP) for building scalable AI solutions

. Solid understanding of software development lifecycle (SDLC) and DevOps practices.

. Experience of LangChain, Phoenix, MLFlow, LangGraph, Google Agent Development Kit

. Experience of designing AI solutions using Agentic AI approach, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), Vector Databases, etc.

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Comprehensive knowledge to assess and evaluate Agentic AI and Generative AI applications

· Excellent problem-solving skills and the ability to tackle complex business challenges using AI technologies.>

Key Responsibilities

Design and Implement AI Architecture

- Strategic Planning and Business Alignment
- Governance, Security, and Responsible AI
- Model Lifecycle Management and Optimization
- Collaboration and Integration >

Certifications AWS Certified Machine Learning – Specialty

AWS Certified Solutions Architect – Associate

Microsoft Certified: Azure AI Engineer Associate

Microsoft Certified: Azure AI Fundamentals

Google Cloud Professional Machine Learning Engineer

Google Cloud Qualified Cloud Architect

Google Cloud Certified: Generative AI Leader

Google Cloud Certified: Professional Machine Learning Engineer

Microsoft Certified: AI Agent Builder Associate

📌 Agentic AI Architect (Pune)
🏢 Tata Consultancy Services
📍 Pune