About Position:

We are looking for a GenAI Solution Architect / AI Agent Engineer with strong expertise in Enterprise AI Agents, Microsoft Copilot Studio, AWS Bedrock, and modern LLM orchestration frameworks. The role involves designing, developing, and deploying enterprise-grade GenAI solutions, autonomous agents, and intelligent automation platforms that drive business transformation, productivity, and operational efficiency at scale.

Role: AI / Machine Learning Specialist
Location: Pune
Experience: 5 to 8 Years
Job Type: Full time Employment

What You'll Do:

Design, develop, and deploy enterprise-scale AI Agent solutions using modern Generative AI technologies.
Build autonomous and task-driven AI Agents capable of executing complex business workflows and automations.
Develop AI-powered applications using Microsoft Copilot Studio and AWS Bedrock.
Architect and implement Retrieval Augmented Generation (RAG) solutions using vector databases and knowledge repositories.
Design and develop LLM orchestration workflows using LangChain, LangGraph, or similar frameworks.




Implement advanced prompt engineering, agent reasoning, tool calling, memory management, and workflow orchestration capabilities.
Build scalable data ingestion, chunking, embedding, retrieval, and contextual enrichment pipelines.
Integrate AI solutions with enterprise applications, APIs, databases, and business systems.
Collaborate with business stakeholders to identify automation opportunities and translate requirements into AI-driven solutions.
Design and implement responsible AI, governance, security, and compliance frameworks.
Optimize LLM performance, accuracy, latency, and cost efficiency.
Support end-to-end AI solution lifecycle including architecture, development, testing, deployment, monitoring, and support.
Develop reusable AI accelerators, frameworks, and best practices for enterprise adoption.
Stay updated with advancements in AI Agents, LLMs, Foundation Models, and enterprise AI platforms.

📌 AI / Machine Learning Specialist (Pune)
🏢 Persistent Systems
📍 Pune