Technical Project Manager (AI)
YEO - 10-15 yrs
Location - Mumbai, Bangalore
Key Responsibilities
- Lead planning and execution of AI/ML and Generative AI projects (LLMs, RAG, NLP, etc.) from ideation to deployment
- Collaborate with data scientists, ML engineers, product teams, and business stakeholders to define scope, timelines, and deliverables
- Manage project lifecycle including requirements gathering, sprint planning, execution, monitoring, and delivery
- Drive Agile/Scrum practices, ensuring timely and high-quality delivery
- Translate business requirements into technical execution plans for AI solutions
- Identify risks, dependencies, and bottlenecks; proactively mitigate issues
- Track KPIs, project progress, and communicate status to leadership
- Ensure model deployment, scalability, and production readiness in collaboration with engineering teams
- Facilitate cross-functional alignment and stakeholder communication
- Manage vendors/partners where applicable
Required Skills & Qualifications
- 10+ years of experience in technical project/program management
- Proven experience managing AI/ML Generative AI projects
- Strong understanding of:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- NLP, prompt engineering, and model evaluation
- Familiarity with ML lifecycle (data prep, training, evaluation, deployment)
- Experience with cloud platforms (AWS, Azure, or GCP)
- Hands-on experience with Agile/Scrum methodologies and tools (Jira, Confluence, etc.)
- Basic proficiency in Python or ability to understand/read AI/ML codebases
- Strong communication and stakeholder management skills
- Ability to bridge technical teams and business stakeholders
Preferred Qualifications
- Experience with frameworks/tools like LangChain, LlamaIndex, OpenAI, Hugging Face
- Understanding of MLOps and model deployment pipelines
- Exposure to vector databases (Pinecone, FAISS, Weaviate, etc.)
- PMP / Scrum certification is a plus
- Prior experience in enterprise AI transformations or digital programs
Key Competencies
- Strong problem-solving and analytical thinking
- Ownership mindset with ability to drive projects independently
- Excellent communication and leadership skills
- Ability to manage ambiguity in fast-evolving AI environments