Technical Project Manager

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 Google Cloud Platform)

• 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