100% remote - IT Project Manager, AI (Hands-on LLM assistants, HIPAA, Jira, Agile) - Direct Client - Immediate Interviews

One of my direct clients is looking for a IT Project Manager-AI.

100% remote
Skills - Hands-on LLM assistants, HIPAA, Jira, Agile, PM
Duration - 12 months, long term, C2C/FT, cannot sponsor
Rate - DOE
Client details will be shared post technical call 

Required qualifications 

Demonstrated, hands-on use of LLM-based assistants (enterprise Copilot, ChatGPT, or equivalent) to create project plans, meeting minutes, status reports, and action-item automation 

3+ years of software project management experience in healthcare technology or adjacent healthcare data domains, with strong domain familiarity including privacy and regulatory considerations such as HIPAA 

Advanced, practical experience using JIRA for planning, tracking, reporting, workflow design, and automation rules as the system of record 

Proven experience running Agile team cadences (Scrum or Kanban), facilitating cross-functional teams, and driving delivery across product, engineering, and ops 

Strong stakeholder management and communication skills - able to translate AI-driven signals into clear, actionable executive summaries 

Comfortable with data and analytics - able to read forecasts, validate predictions, and apply them to risk decisions 

Hunger to experiment - a growth mindset that seeks to push the boundaries of how AI can remove manual work and drive predictability 

Preferred / nice-to-haves 

Prior PM experience on projects that shipped AI-enabled features or used ML-driven forecasting or automation 

Experience with enterprise Copilot integrations, ChatGPT/LLM plugins for JIRA, or other PM-focused AI tooling 

Familiarity with healthcare data standards such as FHIR, claims formats, or EHR integrations 

Certifications such as Certified ScrumMaster, PMP, or equivalent Agile credentials 

Hands-on scripting or low-code experience (Python, JavaScript, Power Automate) to create small automations or to partner effectively with engineers 

What “AI-first” looks like in this role - concrete examples 

Project plans drafted by the PM with AI generating baseline schedules, dependency maps, and suggested owners for review and refinement 

Meeting notes and action items auto-extracted and pushed to JIRA tickets with owners and due dates assigned by the PM using Copilot prompts 

Automated status reports where AI synthesizes JIRA board data and sprint outcomes into a one-page executive summary with suggested mitigations for risks 

AI-nudges that surface potentially stale work, likely blockers, and dev/test bottlenecks before they impact delivery