Company Overview:
- RW Thrive is a growth-focused, 100% employee-owned holding company building a network of education-focused businesses, including Realityworks, CreXo, and Realityworks AI.
- These companies develop experiential learning technology, AI-enabled healthcare simulation, and training solutions used by educators and workforce development programs worldwide.
- This role is employed by Realityworks AI, a subsidiary of RW Thrive.
Role Responsibilities:
- Owns the technical architecture, platform roadmap, and engineering standards across cloud applications, embedded systems, physical products, and simulation technologies.
- Defines and executes the organization's AI software strategy, including LLMs, SLMs, speech technologies, computer vision, and intelligent agents.
- Leads software delivery and release execution across all product lines, ensuring alignment with business priorities and product roadmaps.
- Builds and protects the company's differentiated technical IP, including patient-state modeling, grading engines, clinical scenario modeling, and AI training-data pipelines.
- Directs and optimizes an elastic network of outsourced engineering partners across product management, software engineering, AI/ML, QA, and DevOps functions.
- Provides leadership and oversight to the Quality & Validation, Simulation Systems, and Embedded Design teams.
- Establishes scalable engineering processes, development standards, platform strategies, and technology roadmaps that support long-term growth.
- Partners with product, clinical, hardware, AI, and customer-facing teams to evaluate opportunities, prioritize investments, and deliver innovative customer solutions.
- Performs other duties as assigned.
Required Qualifications:
- Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical discipline; an equivalent combination of education and progressively responsible software engineering experience will also be considered.
- 8+ years of software engineering experience.
- Demonstrated experience directing outsourced/offshored engineering teams at scale.
- Experience with SaaS platforms and cloud architectures.
- Strong understanding of modern AI/LLM technologies.
Desired Qualifications:
- Medical simulation, healthcare technology, EdTech, or training systems experience.
- Experience with conversational AI, speech technologies, or local AI deployments.
- Familiarity with hardware/software integration environments.
- Experience scaling products from prototype to commercial deployment.
