Artificial Intelligence Engineering Manager/Lead

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 collaborative 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, feature engineeri