AI / Machine Learning Specialist

Job description

**Job Description** **About Persistent** We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor's mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix Assessment 2026 and Software Product Engineering PEAK Matrix Assessment 2026. **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. **Expertise You'll Bring:** - 6+ years of overall experience in Software Engineering, AI/ML, Solution Architecture, or Enterprise Application Development. - Strong expertise in Enterprise AI Agents and Agentic AI architectures. - Hands-on experience with Microsoft Copilot Studio. - Hands-on experience with AWS Bedrock and Foundation Models. - Strong experience developing enterprise-grade Generative AI solutions. - Practical experience with LangChain and/or LangGraph frameworks. - Strong understanding of LLM orchestration, agent workflows, tool integration, memory management, and reasoning frameworks. - Experience implementing Retrieval Augmented Generation (RAG) architectures. - Hands-on experience with data chunking, embeddings, semantic search, and contextual retrieval techniques. - Experience working with vector databases such as Pinecone, Weaviate, ChromaDB, FAISS, OpenSearch, or similar platforms. - Strong understanding of prompt engineering, prompt optimization, and AI response evaluation techniques. - Experience integrating GenAI solutions with enterprise applications, APIs, and cloud platforms. - Knowledge of AI governance, security, responsible AI, and compliance best practices. - Experience with Python development and modern AI/ML ecosystems. - Understanding of cloud platforms with strong preference for AWS services. - Experience building scalable and production-ready AI applications. - Strong problem-solving, analytical, and solution-design capabilities. - Excellent stakeholder management and communication skills. - Proven experience building and deploying GenAI-powered automation solutions at enterprise scale. - Experience leading AI transformation initiatives and driving AI adoption across organizations is highly desirable. **Benefits:** - Competitive salary and benefits package - Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications - Opportunity to work with cutting-edge technologies - Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards - Annual health check-ups - Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents **Values-Driven, People-Centric & Inclusive Work Environment:** Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, i