AI Learning Experience Architect

Blink Health

New York (NY)

Hybrid

USD 120,000 - 180,000

Full time

3 days ago
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Job summary

Blink Health is seeking an AI Learning Experience Designer to drive AI-powered, simulation-based training across instructional design, live facilitation, and Product/Engineering. You will translate learning needs into technical requirements and build scalable, realistic practice environments for high-stakes skills.

This hybrid role sits in New York or Seattle, requiring 7+ years in L&D, hands-on AI tooling, and a portfolio of AI-generated simulations.

Qualifications

  • 7+ years in instructional design or related L&D role.
  • Experience building with AI to design, develop, and scale learning experiences.
  • Portfolio or work samples demonstrating AI-generated simulations is required.
  • Ability to translate business priorities into scalable learning solutions.
  • Experience partnering with Product/Engineering teams or other technical partners.

Responsibilities

  • Design branching scenarios, role-play conversations, and simulations grounded in adult learning principles.
  • Define realism and effectiveness for simulations with personas, difficulty curves, and feedback loops.
  • Own the simulation roadmap aligned to priority skill gaps.
  • Own prompts and AI-driven simulation content and tools; evaluate vendors and platforms.

Skills

Instructional design
AI learning design
Prompt engineering
Simulation design
L&D product liaison
Live facilitation

Education

Bachelor’s degree in Instructional Design

Tools

Second Nature
Hyperbound
Mindtickle
Zenarate
SmartWinnr
Articulate Storyline
Articulate Rise
Claude Design

Job description

Blink Health is seeking an AI Learning Experience Designer to drive AI-powered, simulation-based training across instructional design, live facilitation, and Product/Engineering. You will translate learning needs into technical requirements and build scalable, realistic practice environments for high-stakes skills.

This hybrid role sits in New York or Seattle, requiring 7+ years in L&D, hands-on AI tooling, and a portfolio of AI-generated simulations.

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