paycor
AI Technical Program Management Intern (Part-time)
AccessHope
Remote, USA
Part Time, Internship
Entry
Remote
Discovered 1 months ago
JiraConfluenceAzure DevOps
Key Skills for This Role
JiraConfluenceAzure DevOps
Full Job Posting
- 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 internal stakeholders required for vendor integrations, testing, security reviews, and implementation.
- Help evaluate whether vendor deliverables meet agreed requirements and acceptance criteria.
- Help translate business and clinical use cases into structured requirements, workflows, user stories, and acceptance criteria.
- Partner with technical teams to understand AI architecture, data requirements, integrations, model evaluation, and deployment considerations.
- Coordinate testing and evaluation activities, including tracking accuracy, quality, latency, reliability, and other relevant measures.
- Help 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 what is being built, why it matters, current status, and what decisions are needed.
- 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
About AccessHope
Health Insurance & Managed Care104 employeesFounded 2019
AccessHope is a nonprofit cancer-care benefits provider connecting employers’ employees with NCI-designated cancer-center expertise through local oncologists.
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