• Lead architecture and platform development • Design and own core AI workflow platforms, orchestration systems, and shared SDKs that power intelligent healthcare experiences. • Build scalable, reliable systems for LLM orchestration, grounding, evaluation, and agent-like workflows. • Create reusable frameworks and patterns that other engineering teams can adopt across the company. • Drive multi-quarter technical initiatives and help bridge AI research prototypes with production-grade systems. • Partner closely with Product across multiple verticals • Work with Pharmacy, E-commerce, Care, and Operations to bring AI-powered features to life, from patient-facing journeys to internal efficiency tools. • Collaborate on product strategy, helping translate ambiguous ideas into clear technical plans. • Support teams in releasing features quickly through incremental, high-velocity delivery cycles. • Ensure user-facing AI experiences meet expectations for performance, reliability and usability. • Champion safety, privacy, and clinical integrity • Develop evaluation frameworks and observability systems that measure AI behavior, grounding, safety, and quality. • Establish guardrails and patterns that ensure all AI interactions comply with HIPAA, security-by-design, and privacy-first principles. • Work with clinical, legal, and AI safety partners to ensure our systems are trustworthy and appropriate for healthcare use. • Elevate engineering excellence • Mentor engineers and help cultivate strong engineering practices across the Applied AI organization. • Lead design reviews and contribute to architectural governance across engineering teams. • Improve developer experience and remove platform bottlenecks that slow down product teams. • Raise the overall quality bar by championing clear standards for reliability, observability, testing, and iteration. • Build and ship across the full stack • Develop features and infrastructure using TypeScript (AWS, Cloudflare Workers, React/Next.js) and Python (Databricks, orchestration, evaluation). • Integrate and evaluate LLMs and ML systems through unified AI gateway. • Build secure APIs and connectors that link to domains like EHR, Pharmacy, Payments, Orders, and Care. • Contribute to shared libraries that standardize schemas, tool contracts, and developer experience.

• Lead user-facing development for our marketplace platform, from real-time rate comparisons to customer dashboards and enrollment flows • Set technical direction for frontend architecture, tooling, and best practices across the team • Build polished, performant interfaces that make complex energy market data intuitive for consumers and businesses • Mentor and grow frontend engineers; conduct code reviews that raise the bar on quality and craft • Partner with product and design to translate user needs into delightful, high-converting experiences. Take product ownership on select features and projects when necessary. • Champion AI-augmented development workflows - we expect leads to model how AI tools can multiply team output • Balance hands-on contribution (expect 60-70% coding) with technical leadership and cross-functional collaboration

• Lead a team of engineers building a platform to manage and scale blockchain infrastructure. • Oversee systems that handle authentication, rate limiting, request routing, and data access across multiple blockchain networks. • Design off-chain data storage solutions and APIs for internal and external consumers. • Collaborate cross-functionally to align engineering output with product and infrastructure goals. • Mentor and support team members through regular 1:1s, technical feedback, and growth planning. • Participate in hiring and shaping team culture. • Balance leadership and technical contributions—whether hands-on or in a guiding capacity.

• Lead and develop the Controls Engineering Team • Lead, mentor, and grow a team of controls engineers and software developers • Responsible for microgrid control code and documentation • Set clear technical direction, review designs and code, and support career development across the team • Establish and enforce development best practices including version control, pull requests, coding standards, and unit testing • Own Microgrid Controls Architecture and Roadmap • Define the technical approach and long-term roadmap for the supervisory microgrid controller, equipment control interfaces, and SCADA integration • Translate system-level requirements into scalable, maintainable control software architectures • Partner with internal teams to align controls strategy with system performance, reliability, and operational goals • Enable Equipment Integration and Grid Compliance • Coordinate with equipment suppliers across PV, wind, battery storage, and thermal generation to define control interfaces and qualification requirements • Define and tune key parameters such as droop control, dispatch logic, and ride-through behavior • Ensure grid-connected operation complies with utility interconnection agreements and applicable ancillary market requirements • Validate, Test, and Improve System Performance • Lead validation planning across Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), vendor testing, and site-level validation • Oversee modeling and analysis of economic tradeoffs including fuel efficiency, cycling, curtailment, and interconnection constraints • Assist with post-event root cause analysis, reviewing telemetry and event logs to improve reliability and performance • Support Operations and Continuous Improvement • Partner with operations teams to diagnose unexpected control behavior and drive timely resolution • Document issues clearly and coordinate corrective actions across internal and external stakeholders • Use operational learnings to continuously improve control strategies and development processes