Role Overview
We are looking for an experienced Project Manager with strong exposure to Generative AI (GenAI), AI/ML-driven solutions, and enterprise digital transformation initiatives. The candidate will lead end-to-end delivery of GenAI projects, coordinate cross-functional teams, manage stakeholders, and ensure successful implementation of AI-powered business solutions.
The ideal candidate should possess strong project management capabilities along with a solid understanding of AI technologies, cloud platforms, data integration, and agile delivery methodologies.
Key Responsibilities
- Lead and manage end-to-end delivery of Generative AI initiatives across business and technology teams.
- Drive project planning, execution, governance, risk management, and stakeholder communication.
- Collaborate with business users, architects, data engineers, AI/ML engineers, and vendors to define project scope and deliverables.
- Manage implementation of GenAI use cases such as:
- AI Chatbots & Virtual Assistants
- Enterprise Search & RAG Architecture
- Document Intelligence & Automation
- LLM-based Knowledge Management
- AI-powered Analytics & Recommendation Systems
- Coordinate requirement gathering, solution design discussions, sprint planning, UAT, deployment, and post-production support.
- Ensure alignment of AI solutions with business objectives, compliance, security, and governance standards.
- Monitor project timelines, budgets, resource allocation, and delivery milestones.
- Facilitate Agile ceremonies including sprint planning, stand-ups, retrospectives, and stakeholder reviews.
- Track dependencies, risks, issues, and escalation management across multiple teams.
- Work closely with technical teams on integrations involving APIs, cloud services, data platforms, and AI frameworks.
- Prepare project status reports, executive dashboards, and management presentations.
Required Skills & Experience
- 8+ years of experience in Project Management / Program Management.
- Hands-on experience managing Generative AI or AI/ML-based projects.
- Strong understanding of:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- AI/ML lifecycle
- NLP concepts
- Experience working with AI platforms/tools such as:
- OpenAI / Azure OpenAI
- AWS Bedrock
- Google Vertex AI
- LangChain / LlamaIndex
- Vector Databases
- Experience with Agile/Scrum project delivery methodologies.
- Strong stakeholder management and communication skills.
- Experience in cloud platforms such as AWS, Azure, or GCP.
- Understanding of APIs, microservices, data pipelines, and enterprise integrations.
- Ability to manage multiple projects and work in a fast-paced environment.
Preferred Skills
- PMP / Scrum Master / Agile certifications preferred.
- Experience in Banking, Financial Services, Insurance, or Healthcare domains is an advantage.
- Exposure to Data Engineering, Analytics, or Digital Transformation programs.
- Familiarity with compliance, AI governance, and data privacy standards.
- Experience managing offshore and onsite teams.
