Director, AI Product Development
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About the Role
CentralReach is a leading provider of autism and IDD care software for Applied Behavior Analysis (ABA), multidisciplinary therapy, and special education. Trusted by more than 200,000 users, we enable therapy providers, educators, and employers to scale the way they deliver ABA and related therapies with innovative technology, market-leading industry expertise, and world-class customer satisfaction.
CentralReach’s AI team operates as an AI Foundry: a cross-functional group that rapidly builds, validates, and scales AI-enabled product capabilities. The Director, AI Product Development is the senior-most engineer on the AI team and sets the technical bar for how AI-powered product experiences are designed, built, evaluated, and operated.
This role is hands-on and deeply engaged across the early stages of development of AI applications, from early prototypes and pilots through production hardening and scale. They partner closely with AI product builders, Product organization leaders and DevOps to translate customer problems into reliable AI features that integrate seamlessly with CentralReach’s core workflows. They also establish engineering standards for AI application development: evaluation and quality thresholds, observability, guardrails and performance management.
Key Accountabilities:
Technical Leadership & Engineering Excellence
- Serve as the technical lead for AI application development within the AI Foundry, setting standards for code quality, architecture, and delivery
- Lead by doing: design and implement core AI application components, critical services, and integration layers
- Mentor AI engineers; raise the bar on engineering rigor and AI-specific best practices
- Establish quality thresholds and release criteria (accuracy, latency, reliability, cost, and user trust)
- Design safeguards and “safe failure modes”: fallback behaviors, confidence thresholds, user controls, content filtering, and transparency patterns
AI Application Development (Hands-On)
- Build AI-powered product capabilities end-to-end (service + workflow integration + instrumentation), including LLM-enabled workflows, RAG, summarization, classification, and automation patterns
- Build and maintain shared libraries/components for AI application development (prompt/tooling patterns, service templates, evaluation utilities, safety layers)
- Own technical readiness for production: reliability, observability, performance tuning, and incident response preparedness
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