Technical PM (AI)

Technical PM (AI)
Onsite – NYC

Employment Type - Fulltime

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