طراح آموزشی با هوش مصنوعی

You have 7+ years in instructional design, learning experience design, or a closely related L&D role.

You have demonstrated experience building with AI to design, develop, and scale learning experiences, including AI-assisted content generation, prompt engineering, content transformation, and workflow optimization — not just general AI familiarity.

You have demonstrated experience creating AI-generated learning assets, specifically simulations, chatbots, branching scenarios, role-play conversations, assessments, and coaching/reinforcement activities (a portfolio or work samples demonstrating this is required).

You have a strong grounding in instructional design methodology (e.g., ADDIE, adult learning theory) and scenario/branching-logic design.

You have working proficiency with at least one AI simulation/role-play platform (e.g., Second Nature, Hyperbound, Mindtickle, Zenarate, SmartWinnr, or comparable) and one standard authoring/content tool stack (e.g., Articulate Storyline/Rise, Vyond, Claude Design) with AI-assisted features.

You communicate clearly and technically — able to write requirements Engineering can build from and explain platform constraints to non-technical stakeholders.

You’re comfortable reading and acting on learning/performance analytics — engagement, adoption, time-to-competency, and business performance data — to demonstrate program impact, not just completion.

You have a bachelor’s degree in Instructional Design, Learning Experience Design, Educational Technology, or a related field; equivalent professional experience will be considered in lieu of a degree.

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.

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.

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.

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.

Establish and maintain a quality/review process for AI-generated simulation content before it reaches learners.