• Lead the design, development, deployment, and optimization of AI solutions • Ensure solutions are production-grade, secure, compliant, and capable of delivering meaningful client and operational impact. • Drive agile execution, and translating healthcare business needs into scalable AI technology and data solutions. • Design, architect, and deploy enterprise-ready AI agents. • Develop and manage multi-provider abstraction layers across AI platforms. • Build cloud-native AI systems, using Kubernetes, Docker, microservices, serverless computing, event-driven architectures, CI/CD, and comprehensive observability stacks. • Tailor and implement industry-specific agentic workflows. • Partner with cross-functional stakeholders to define use cases, rapidly prototype solutions. • Conduct design workshops, POCs, and joint engineering sessions. • Define and monitor key metrics for agent accuracy, safety, latency, cost-efficiency, and reliability. • Ensure AI solutions comply with applicable industry and regulatory standards. • Create and maintain detailed documentation across model development, training, fine-tuning, deployment, and operational processes. • Provide technical leadership, mentorship, and guidance to junior engineers.

• Lead the design, delivery, and operation of cloud environments, service infrastructure, build/deploy, and ecosystem services. • Responsible for hiring, mentoring, and empowering a high-performing team of engineers. • Drive technical excellence and ensure scalable and reliable infrastructure that accelerates development across the organization.

• Oversee all engineering delivery lines and development teams (15+ engineers) • Build and mentor a strong leadership team (Development Leads, Engineering Managers) • Create a culture of ownership, accountability, and continuous improvement • Develop career paths and growth opportunities for engineers at all levels • Recruit, hire, and retain top engineering talent • Drive a rigorous practice of thorough documentation and knowledge sharing and code reviews. • Act as an ‘internal ambassador’ for the engineering team to other groups, communicating the opportunities and constraints technology offers to the development of our internal projects. • Resolve escalations arising from internal teams and manage client expectations alongside various teams to minimize production incidents and operations • Manage technical debt to ensure our development velocity stays responsive and predictable • Align teams to broader company objectives and client expectations improvements on efficiency

• Build, mentor, and lead a high-performing team of Quality Engineers and Test Engineers. Provide technical guidance, set performance goals, and foster a culture of accountability and precision. Allocate resources effectively to support multiple concurrent product programs. • Lead the end-to-end hardware testing strategy to ensure all products meet functional, performance, environmental, safety, and regulatory compliance standards. Oversee the design and build-out of internal testing capabilities, including automated test rigs and validation processes, to ensure rigorous coverage prior to mass production. • Manage the hardware testing facilities and vehicle fleet to ensure the team is fully equipped to execute their work. This includes overseeing the procurement and maintenance of bench equipment (e.g., thermal chambers, oscilloscopes, data acquisition), triaging workbenches, and test vehicles. You will manage the asset utilization to ensure the wider Canopy team has the necessary tools to identify failure modes and validate fixes without bottlenecks. • Champion the "Design for Quality" methodology within the engineering organization. Lead key quality processes including DFMEA (Design Failure Mode and Effect Analysis) and PFMEA (Process Failure Mode and Effect Analysis). Facilitate 8D problem-solving workshops and ensure a closed-loop "lessons learned" approach is applied to every design iteration. • Drive manufacturing quality standards with our Contract Manufacturers (CMs) and key suppliers. Define technical quality requirements for mass production, conduct supplier audits, and oversee the implementation of control plans to ensure consistent product quality. • Lead the Advanced Product Quality Planning (APQP) framework with suppliers and manage the Production Part Approval Process (PPAP) to ensure components and assemblies meet stringent automotive standards before mass production. • Own the warranty return and RMA process. Lead the triage of field failures to identify root causes (RCA) and drive corrective actions for current and future products. Maintain and update core engineering documentation to prevent the recurrence of known failure modes, directly influencing the product roadmap based on field data. • Establish and maintain the Hardware Quality Management System, ensuring alignment with relevant automotive standards (e.g., IATF 16949, ISO 9001). Manage external relationships with certification bodies and test labs to ensure timely product certifications (FCC, CE, PTCRB, etc.).