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 Lang

Chain, Lang

Graph, Auto

Gen, 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 Lang

Chain, Auto

Gen, or similar frameworks.

Technical Proficiency: Robust Python skills, experience with vector databases (Pinecone, Chroma), and cloud platforms (Azure, AWS).

Education: Degree in Computer Science, Data Science, or related field.

📌 AI Project Manager (India)
🏢 Accenture in India
📍 India