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AI Technical Program Management Intern – Part-time
AccessHope. Maintain an integrated view of active AI initiatives, milestones, dependencies, owners, risks, and decisions .
Core Competencies
Role fitCore 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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAzureCloud
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