Director, AI Product Development

Role Overview

• 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
• 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
• Collaborate with platform Engineering and DevOps to ensure CI/CD and environment consistency, scaling strategies, cost controls for inference and secrets management and secure data handling
• Partner tightly with AI product builders and workflow Product owners to translate validated prototypes into production implementations
• Collaborate with core engineering teams to integrate AI capabilities into CentralReach’s main platforms
• Identify and prioritize foundational investments that increase delivery velocity and reduce long-term maintenance: reusable components, platform primitives, and standardized patterns
• Evaluate build vs. buy decisions for AI tooling and recommend approaches aligned to CR constraints
• Stay current with AI application engineering practices and help translate emerging techniques into safe, valuable product capabilities

Requirements

• Bachelor's degree or equivalent work experience
• 10+ years of professional software engineering experience, with principal-level scope and demonstrated technical leadership
• Strong experience building and operating production distributed systems and backend services
• Demonstrated hands-on experience delivering AI/ML-powered product features (LLMs and/or traditional ML), including evaluation and monitoring
• Experience with retrieval systems and search relevance (RAG, embeddings, indexing, ranking, evaluation)
• Strong system design skills: APIs, data flows, integration patterns, performance and reliability tradeoffs
• Experience with observability and operational excellence (logging, metrics, tracing, alerting, incident response)
• Ability to communicate technical concepts clearly to product, design, and executive stakeholders
• Experience in a healthcare SaaS environment
• Familiarity with multi-tenant architectures and enterprise access control models
• Experience building internal platforms/tooling that improve developer experience and standardize best practices

Tech Stack

• Distributed Systems

Benefits

• Comprehensive health benefits
• Generous PTO
• 401(k) matching
• Paid parental leave
• Hybrid work schedules
• Career development support
• Wellness programs
• Opportunities to give back through CR Cares™