• Define and evolve Wiser's AI and data science technical strategy in partnership with product and business leadership • Represent Wiser's AI capabilities to customers, partners, and advisors—articulating our approach, roadmap, and differentiation • Identify high-impact opportunities where AI can solve customer problems or create competitive advantage • Establish technical standards, patterns, and best practices that influence engineering decisions across the organization • Architect and build production AI systems including LLM applications, RAG pipelines, semantic search, and traditional ML models • Design rigorous evaluation frameworks, experimentation methodologies, and monitoring systems that ensure AI solutions deliver reliable, measurable results • Own technical quality for AI systems end-to-end: from data pipelines through model deployment to production observability • Partner with product management to translate business requirements into technical approaches and validate solutions against customer needs • Mentor and elevate the AI/data science team (3-5 engineers), raising the technical bar through code review, architecture guidance, and knowledge transfer • Collaborate across engineering teams to integrate AI capabilities into Wiser's broader platform architecture • Drive build-vs-buy decisions and vendor evaluations for AI infrastructure and tooling • Champion AI-native development practices across Wiser engineering—demonstrating how AI tools accelerate development, improve code quality, and change what's possible