AI Learning Experience Designer
Blink Health · New York, NY; Seattle, WA
- Senior
- Full-time
- Posted 2026-09-23
- Confirmed live on 25 September 2026
Job description
Company Overview:
Blink Health is the fastest growing healthcare technology company that builds products to make prescriptions accessible and affordable to everybody. Our two primary products – BlinkRx and Quick Save – remove traditional roadblocks within the current prescription supply chain, resulting in better access to critical medications and improved health outcomes for patients.
BlinkRx is the world’s first pharma-to-patient cloud that offers a digital concierge service for patients who are prescribed branded medications. Patients benefit from transparent low prices, free home delivery, and world-class support on this first-of-its-kind centralized platform. With BlinkRx, never again will a patient show up at the pharmacy only to discover that they can’t afford their medication, their doctor needs to fill out a form for them, or the pharmacy doesn’t have the medication in stock.
We are a highly collaborative team of builders and operators who invent new ways of working in an industry that historically has resisted innovation. Join us!
The Role: As our AI Learning Experience Designer, you'll drive our organization's shift toward AI-powered, simulation-based training. You won't just write training content — you'll design, build, and continuously improve realistic practice environments, from conversational role-play scenarios to procedural and technical simulations, that let employees rehearse high-stakes skills safely, repeatedly, and at scale. This role sits deliberately at the intersection of three disciplines: instructional design, live facilitation, and Product/Engineering. You'll translate learning needs into technical requirements that designers or Product and Engineering can build against, and translate those outputs back into the classroom experience for our learners. Success means simulation-based training that is both instructionally sound and technically scalable — and that demonstrably improves performance.
This is a hybrid role based in either New York or Seattle location
What you’ll do:
Simulation Design & Strategy
• Design branching scenarios, role-play conversations, and procedural/technical simulations grounded in adult learning principles and real on-the-job situations.
• Define what “realistic” and “effective” mean for each simulation — personas, difficulty curves, failure states, and feedback loops — in partnership with SMEs and facilitators.
• Build and maintain a simulation roadmap aligned to the organization’s highest-priority skill gaps, rather than defaulting to whichever tool is easiest to deploy.
AI Tooling, Prompt Engineering & Build
• Own the prompt engineering and configuration behind AI-driven simulations (conversational AI role-play, AI-generated scenario content, adaptive difficulty), working within licensed platforms and/or custom-built tools.
• Evaluate and pilot AI simulation vendors and in-house technologies (e.g., conversational role-play platforms, authoring tools with AI generation, avatar/voice tools) against defined learning outcomes and total cost of ownership.
• Maintain a working knowledge of the AI/LLM capabilities and constraints relevant to training use cases, translating this into realistic scope and timelines.
Bridging Instructional Design, Facilitation & Product/Engineering
• Act as the primary liaison between the L&D function and P&E teams building or supporting simulation tooling — writing clear requirements, user stories, and acceptance criteria on the learning side. Serve as a product owner for L&D outcomes.
• Partner with facilitators and trainers to pressure-test simulations before rollout, incorporating live-delivery feedback into design and technical iteration.
• Translate technical/platform constraints (data privacy, integration limits, latency, model behavior) into design trade-offs that instructional design and facilitation stakeholders can understand and plan around.
• Represent L&D in Product/Engineering planning processes where simulation tooling, data, or infrastructure decisions affect training outcomes.
Innovation & Process Ownership
• Pioneer AI-driven design and production processes that let the team scale simulation output while maintaining quality — this role owns how simulations get built, not just what gets built.
• Stay current on emerging AI tools and techniques relevant to simulation and instructional design, and make the call on when to adopt, pilot, or pass.
Measurement & Continuous Improvement
• Define and track success metrics for each simulation (e.g., time-to-competency, skill transfer, manager/coach ratings, performance-data correlation), not just completion or satisfaction scores.
• Use practice and performance analytics to identify where simulations are and aren’t closing real skill gaps, and iterate accordingly.
• Report on simulation program impact to L&D leadership, tying results to business outcomes rather than production speed alone.
Governance & Quality
• Ensure simulations meet acce
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