• Write and refine medical guidelines and prompts that enable our LLMs to provide accurate clinical responses • Translate medical knowledge into structured formats for our agentic workflows and knowledge graph • Ensure AI outputs align with current medical standards across urgent care, primary care, chronic disease management, and medication management • Organize medical databases supporting our AI agents and consensus models • Develop evaluation frameworks to assess LLM performance in clinical contexts • Create metrics specific to diagnosis accuracy, treatment appropriateness, and prescription safety • Day-to-day interaction with engineering team to develop and refine architecture • Gather feedback from our physician network to identify improvement opportunities • Partner with engineering on integration between AI doctor and EHR system

• Elaborate, define, and plan technical work from well defined objectives, validating requirements with internal and external stakeholders. • Elaborate and lead the execution of test strategies, execute test plan, generate test reports, and demonstrate compliance with requirements. • Independently execute technical work, which may involve the technical supervision of other resources. • Autonomous and self-driving, requiring minimal supervision. • Lead improvement initiatives, review and approve technical solutions within existing architectures. • Coach and develop lesser experienced employees. • Gather information and validate requirements to execute root cause analysis to resolve issues with internal and external stakeholders. • Provide new control system functionalities and modify existing solutions which includes PLC and HMI. • Document equipment configuration, system functionality and features, and Industrial Controls team processes and procedures. • Collaborate with Release management and perform PLC and HMI updates for the customer, on-site or remotely. • Support customers to address unforeseen issues. • Lead the design effort for a dedicated system. • Contribute to and potentially lead process improvement initiatives. • Support Production Sites.

• Serve as the ART conductor, facilitating and coaching the execution of all SAFe ceremonies and practices, and ensuring events are optimized for speed and value. • Develop and execute the plan to launch the new ART. • Coach teams new to Agile delivery in fundamentals of Scrum, Kanban, and SAFe principles and practices. • Lead readiness for PI Planning, driving the development of a clear Vision, Roadmap, and Backlogs; organize and facilitate PI Planning, and manage execution of commitments transparently. • Actively coach, mentor, and influence cyber teams, Scrum Masters, Product Owners, and business partners. This involves teaching Lean-Agile principles, Feature prioritization, and backlog refinement. • Refine and improve value streams, helping teams address and remediate dependencies and barriers, and own improvement actions from Inspect & Adapt and Problem-Solving events. • Create collaborative environments that promote understanding across program, portfolio, technical, and business teams. • Orchestrate ART-level processes and coordinate execution across multiple Scrum and Product teams, ensuring delivery of quality and value. • Ensure ART readiness for System Demos and Inspect & Adapt sessions, and coordinate with external dependent teams. • Collect and leverage ART metrics to demonstrate team capacity, velocity, predictability, and maturity; provide regular executive-level updates on progress and priorities. • Foster a relentless improvement mindset via Inspect & Adapt workshops, Communities of Practice, and engineering quality practices. • Support the ongoing evolution and adoption of SAFe practices within EIP and the broader organization.

• Build Infrastructure That Never Fails: Design and implement highly-available, fault-tolerant backend services. • Scale Real-Time Communication Systems: Own the backend infrastructure that handles video routing, session management. • Enable Frontend Teams Through Platform Excellence: Build the APIs and services that frontend engineers depend on. • Deliver Operational Excellence and Observability: Instrument what matters, establish SLOs, and surface problems. • Contribute to a Purpose-Driven, User-Centered Culture: Advocate for reliability in technical discussions.