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AccessHope

AI Technical Program Management Intern – Part-time

AccessHope

. Maintain an integrated view of active AI initiatives, milestones, dependencies, owners, risks, and decisions .

Posted 9/22/2026part-timeRemote • United StatesEntry Level💰 $25 - $30 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong project management and organizational skills to drive AI initiatives, coordinate cross-functional teams, and translate technical requirements into structured plans. Proficient in managing vendor relationships and ensuring deliverables meet established criteria in a healthcare technology environment.

Highest-signal resume keywords
Project ManagementAI Product DevelopmentVendor CoordinationTechnical FluencyHealthcare Technology

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Project ManagementAI Product DevelopmentData PipelinesAPIsCloud TechnologiesLLMsRAGAgentic AIRequirements GatheringAcceptance Criteria
Soft Skills
OrganizationFollow-ThroughCommunicationCollaborationProblem-Solving
Tools & Technologies
JiraConfluenceAzure DevOpsProject DashboardsDocumentation Tools
Industry Keywords
Healthcare TechnologyRegulated EnvironmentsAI InitiativesStakeholder ManagementTechnical Dependencies

Tech Stack

Tools & technologies
AzureCloud

About the role

Key responsibilities & impact
  • Maintain an integrated view of active AI initiatives, milestones, dependencies, owners, risks, and decisions
  • Drive project plans and follow-ups across AI, engineering, product, clinical, operations, security, and other stakeholders
  • Coordinate working sessions, document decisions, and ensure actions are completed
  • Identify blockers early and escalate issues requiring leadership decisions
  • Serve as a coordination point for external AI and technology partners
  • Track vendor deliverables, timelines, technical dependencies, and open questions
  • Coordinate vendor integrations, testing, security reviews, and implementation
  • Help evaluate vendor deliverables against agreed requirements and acceptance criteria
  • Translate business and clinical use cases into structured requirements, workflows, user stories, and acceptance criteria
  • Partner with technical teams on AI architecture, data requirements, integrations, model evaluation, and deployment considerations
  • Coordinate testing and evaluation activities, tracking accuracy, quality, latency, reliability, and other relevant measures
  • Maintain documentation of AI capabilities, limitations, assumptions, and validation results
  • Prepare concise program updates for technology and business leadership
  • Maintain decision logs, risk registers, project dashboards, and meeting outputs
  • Translate technical progress into clear business language for non-technical stakeholders
  • Ensure teams have visibility into deliverables, objectives, status, and decisions needed

Requirements

What you’ll need
  • Bachelor’s degree required, preferably in Computer Science, Engineering, Information Systems, Data Science, Business/Technology, or a related field
  • Strong interest in Generative AI, LLMs, AI agents, cloud technologies, and AI product development
  • Enough technical fluency to work effectively with engineers and AI/data teams; direct model-development experience is not required
  • Exposure to APIs, cloud platforms, data pipelines, LLMs, RAG, agentic AI, or AI evaluation
  • Experience with project/product tools such as Jira, Confluence, Azure DevOps, or similar platforms
  • Prior internship, academic project, or startup experience involving software or AI product development
  • Interest in healthcare technology or regulated environments
  • Strong project management, organization, and follow-through
  • Ability to convert ambiguous discussions into structured plans, owners, and actions
  • Comfortable working across technical, clinical, operational, vendor, and executive stakeholders
  • Must be authorized to work in the U.S. without the need for current or future employer-sponsored work authorization
  • Available to work no more than 28 hours per week

Benefits

Comp & perks
  • 401(k) Plan with Employer Match
  • Paid Sick leave
  • Remote work schedule
  • Part-time paid internship opportunity