PM with healthcare

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

PM
healthcare
AI
Agile
Scrum Master
Technical Program Manager
GenAI
NLP

Job Details

Technical Program Manager

We are seeking a Technical Program Manager (TPM) with deep expertise in Generative AI and NLP technologies to lead and deliver cutting-edge AI solutions across enterprise environments. This role requires a strong blend of technical acumen, program delivery expertise, and stakeholder management skills. You will be responsible for managing stakeholders, enforce governance, guiding cross-functional teams, and ensuring timely, high-quality delivery of GenAI initiatives.

Responsibilities

  • Drive end-to-end delivery of GenAI/NLP solutions in collaboration with engineering, data science, and product teams.
  • Engage directly with client stakeholders to gather requirements, align objectives, and ensure successful program outcomes.
  • Provide hands-on technical leadership, supporting the team in overcoming engineering and deployment challenges.
  • Define and manage project plans, timelines, budgets, risk registers, and performance metrics.
  • Monitor program risks and dependencies and ensure timely communication of blockers or trade-offs.
  • Plan and prioritize tasks based on business impact, technical feasibility, and resource availability.
  • Lead sprint planning, backlog grooming, and release management.
  • Ensure adherence to engineering best practices, data security, and responsible AI governance.

Skills

  • Understanding on Generative AI & NLP Concepts: Strong grasp of Large Language Models (LLMs) and Small Language Models (SLMs), prompt engineering strategies, retrieval-augmented generation (RAG. Familiarity with GenAI tooling and frameworks such as LangChain, LangGraph, Hugging Face, and OpenAI API. Solid understanding of semantic search, knowledge graphs, vector stores, and context-aware generation techniques.
  • Software Architecture & Development:Proven ability to design and lead the development of scalable, maintainable, and high-performance software solutions, with hands-on experience across the full SDLC using modern engineering practices and design patterns.
  • Project Lifecycle Management: Expertise in managing software projects from discovery to deployment using Agile or hybrid methodologies
  • Risk & Issue Management: Skilled in identifying technical and delivery risks and implementing mitigation strategies
  • Client Engagement: Experience in translating client needs into actionable requirements, managing expectations, and stakeholder communication
  • Cross-functional Coordination: Proven ability to work with data scientists, ML engineers, product managers, and software teams
  • Budget & Resource Planning: Capability to plan and manage budgets, timelines, and team allocations for AI programs
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