Artificial Intelligence Engineering Manager/Lead (Pune)

Artificial Intelligence Engineering Manager: Lead the path for execution of E2E Artificial Intelligence Solutions. Location: Pune / Mumbai, Hybrid Working Experience: 9-12 Years (Minimum 7 Years in AI Development) Industry: Credit Rating & Financial Analytics As an AI Manager, you'll spearhead the design, development, and deployment of GenAI solutions that power our next-gen analytics platforms. Your leadership will empower a high-performing team and deliver interpretable, production-ready LLM-powered solutions that redefine industry standards in data-driven decision-making What will your day look like - Lead and mentor a dynamic team of 35 AI engineers, fostering a collaborative, growth-first culture. - Design and architect scalable AI/ML platforms and infrastructure that support enterprise-wide AI initiatives, including multi-agent systems, RAG pipelines, and model lifecycle management. - Implement agentic AI design patterns, building on frameworks like Autogen, LangGraph, CrewAI or develop bespoke agentic architectures from the ground up. - Integrate advanced GenAI frameworks, leveraging recent advancements such as Model Context Protocols (MCP) and Agent-to-Agent (A2A) frameworks for complex analytic workflows. - Mentor and guide technical teams, elevating architectural rigor, code quality, and operational excellence while staying current with emerging AI technologies and industry best practices. - Oversee the complete lifecycle of AI solutions: data acquisition and curation, feature engineering, model training (SFT, RLHF), evaluation and guardrails, CI/CD, deployment, monitoring, and iterative improvement. - Implement observability and reliability for AI systems (offline/online evals, data/model drift Promote transparency through open-source contributions; GitHub or Kaggle visibility is highly valued. What's in your toolkit - A bachelor's or master's degree in computer science, statistics, mathematics, engineering, or a related field. - 9 to 12 years of experience in machine learning, computer vision with a special emphasis on large language models. - Proficiency in Python and its data science libraries such as pandas, numpy, TensorFlow, pytorch and HuggingFace, LangChain or Haystack. - Define patterns for Agentic AI (planning, tool-use/function calling, memory, feedback loops, multi-agent collaboration), and standardize frameworks for orchestration and evaluation at scale. - Should be hands on with latest in RAG practices and SLM fine tuning. - Hands-on experience deploying and maintaining data science solutions on cloud platforms like Azure, AWS, or GCP. - Has experience in sourcing data from SQL and NoSQL db. A basic knowledge of databases is a must. - A Kaggle profile that reflects your expertise will be an added advantage. - Excellent communication and presentation skills are mandatory. - The ability to balance independent and collaborative work in a fast-paced environment. Educational Background: - Bachelor's or Master's degree from premier Indian institutes (IITs, IISc, NITs, BITS, IIITs etc.) in: - Computer Science, or - Any Engineering discipline, or - Mathematics or related quantitative fields. Benefits: - Hybrid work model combining remote flexibility and team-oriented office culture in Pune or Mumbai. - Continuous learning budget for certifications, workshops, and conferences. - Opportunities to work on industry-leading AI research and shaping the future of financial services. Artificial Intelligence Engineering Manager: Lead the path for execution of E2E Artificial Intelligence Solutions. Location: Pune / Mumbai, Hybrid Working Experience: 9-12 Years (Minimum 7 Years in AI Development) Industry: Credit Rating & Financial Analytics As an AI Manager, you'll spearhead the design, development, and deployment of GenAI solutions that power our next-gen analytics platforms. Your leadership will empower a high-performing team and deliver interpretable, production-ready LLM-powered solutions that redefine industry standards in data-driven decision-making What will your day look like - Lead and mentor a dynamic team of 35 AI engineers, fostering a collaborative, growth-first culture. - Design and architect scalable AI/ML platforms and infrastructure that support enterprise-wide AI initiatives, including multi-agent systems, RAG pipelines, and model lifecycle management. - Implement agentic AI design patterns, building on frameworks like Autogen, LangGraph, CrewAI or develop bespoke agentic architectures from the ground up. - Integrate advanced GenAI frameworks, leveraging recent advancements such as Model Context Protocols (MCP) and Agent-to-Agent (A2A) frameworks for complex analytic workflows. - Mentor and guide technical teams, elevating architectural rigor, code quality, and operational excellence while staying current with emerging AI technologies and industry best practices. - Oversee the complete lifecycle of AI solutions: data acquisition and curation