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: Solid 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