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Operations & Project Management

AI Project Manager

Accenture in IndiaBangalore, KarnatakaIndiaPosted 4 Jul 2026

Why This Role Stands Out

Lead cutting-edge AI projects at Accenture in India, driving innovation and shaping the future of AI solutions while developing your leadership and technical expertise. If you're a seasoned AI/ML professional with a passion for agile project management and stakeholder collaboration, this hybrid role offers a fantastic opportunity to grow your career. You'll thrive by building and deploying advanced AI systems, collaborating with business leaders, and ensuring ethical AI development in a dynamic environment.

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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