AI Project Manager

Job Title: AI/ML Computational Science Manager Skill Required: AI Project Management, Stakeholder communication, Governance, Finance Management, Risk Management, AI-ML Solution Development Designation: Management Level –Manager Job Location: Pan India Qualification: BTech/BE, MTech Years of Experience: 10+ Years Roles and Responsibilities Delivery Leadership: Lead a team of AI engineers to prototype, test, and deploy solutions in agile sprints. Agile Project Management: Manage the AI Project using Agile methodology, Build Epics, Stories, Use cases and sprints. Stakeholder Engagement: Collaborate with business leaders to identify high-impact automation use cases (e.g., Finance, Customer Success). Governance & Ethics: Ensure AI safety, implementing guardrails for bias detection, cost containment, and output auditability. Strategy & Architecture: Design end-to-end agentic architectures (single/multi-agent) using LangChain, LangGraph, AutoGen, or CrewAI. Technical Leadership: Manage Development of Retrieval-Augmented Generation (RAG) pipelines and integrate LLMs with internal systems (SQL/NoSQL, APIs, SAP/Oracle). Skills: Experience: 10+ years in AI/ML, with 2+ years focused on GenAI/LLM application management and understanding of agentic workflows. Management skills: Project Management, Stakeholder communication, Governance, Finance Management, Risk Management, AI-ML Solution Development Leadership: Experience leading technical teams and driving AI initiatives. Framework Knowledge: Deep understanding of LangChain, AutoGen, or similar frameworks. Technical Proficiency: Strong Python skills, experience with vector databases (Pinecone, Chroma), and cloud platforms (Azure, AWS). Education: Degree in Computer Science, Data Science, or related field.