Find The RightJob.
Location: Mumbai, Maharashtra (Hybrid)
Experience: 10–18 Years
Employment Type: Full-Time
Salary: Upto 40 LPA
We are seeking an experienced AI Project Manager to lead the end-to-end delivery of enterprise-scale AI initiatives across manufacturing, industrial, energy, retail, and supply chain environments. The ideal candidate will manage cross-functional teams delivering advanced AI solutions, including Agentic AI systems, Generative AI applications, Computer Vision, and predictive analytics platforms.
This role requires strong leadership in Agile delivery, AI governance, cloud-native architecture, and stakeholder management, ensuring measurable business impact such as cost optimization, operational efficiency, and productivity improvement.
Lead end-to-end execution of AI/ML and Generative AI projects from planning to deployment.
Define project scope, timelines, budgets, and success metrics aligned with business goals.
Manage cross-functional teams including AI Engineers, Data Scientists, MLOps Engineers, and Developers.
Deliver AI solutions such as predictive maintenance, intelligent automation, RAG-based applications, and workflow automation.
Ensure adherence to Agile/Scrum methodologies, project governance, and delivery excellence.
Oversee deployment of AI systems across cloud, enterprise platforms, and industrial environments.
Track and report project KPIs including model performance, ROI, and operational efficiency improvements.
Collaborate with stakeholders, leadership teams, and external vendors to ensure successful project delivery.
Establish AI governance frameworks covering model approval, bias mitigation, explainability, and data security.
Enable integration with enterprise systems through API-driven and event-driven architectures.
10+ years of experience in Project or Program Management.
Minimum 5+ years managing AI/ML or Generative AI projects.
Proven experience delivering AI solutions in manufacturing, industrial, automotive, or supply chain environments.
Strong understanding of:
Generative AI (LLMs, RAG, fine-tuning)
Agentic AI and intelligent automation
Computer Vision and AI-based analytics
MLOps pipelines and AI deployment lifecycle
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Strong knowledge of microservices, APIs, containerization (Docker/Kubernetes).
Experience working with cross-functional AI engineering teams.
Excellent stakeholder management and leadership skills.
Experience with tools and frameworks such as LangChain, Hugging Face, n8n, Databricks, or similar AI platforms.
Experience in industrial AI use cases such as predictive maintenance, quality inspection, or supply chain optimization.
PMP, Agile, Scrum, or SAFe certification preferred.
Exposure to edge AI or real-time AI deployments.
Knowledge of AI governance, compliance, and enterprise AI frameworks.
AI Project Delivery Leadership
Generative AI & Agentic AI Understanding
Agile Program Management
Cloud and Enterprise Architecture Awareness
Stakeholder and Vendor Management
Strategic Thinking and Problem Solving
Opportunity to lead cutting-edge AI and GenAI initiatives
Work with advanced AI technologies and enterprise-scale deployments
Be part of a growing AI Center of Excellence
Competitive compensation and career growth opportunities
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