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Operations & Project Management

AI Project Manager

Accenture in IndiaAssamIndiaPosted 4 Jul 2026

Why This Role Stands Out

Take on a pivotal role leading innovative AI/ML projects at Accenture in India, where you'll drive impactful solutions and shape the future of artificial intelligence. This hybrid position offers significant growth potential and the chance to leverage your extensive experience in AI project management and team leadership within a globally recognized organization. Apply today to advance your career in cutting-edge AI development.

Quick Overview

Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior

Job Description

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.


Skills

Agile

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