AI Project Manager
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
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
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