• Strategically partner with Sales Executives and clinician-led Sales Solution Architects to lead and shape complex pre-sales engagements across payer and provider markets, ensuring technical alignment between customer enterprise architecture and MCG solutions. • Serve as the primary technical point of contact for customer and prospective IT, security, architecture, and digital health stakeholders throughout the sales cycle. • Lead and architect technical solution strategies related to Smart on FHIR, RESTful APIs, healthcare data exchange, and enterprise system integrations, leveraging standards such as FHIR and HL7. • Apply deep expertise in API-driven, service-based, and event-driven architectures to support embedded workflows, system extensibility, scalability, and enterprise-grade integration patterns. • Explain and validate integration approaches involving structured and unstructured healthcare data, including data normalization, transformation, and downstream data usage. • Translate and articulate how AI models are incorporated into MCG solutions, including data inputs and outputs, governance frameworks, model oversight considerations, and integration into enterprise clinical and operational workflows. • Lead highly complex, multi-system, multi-stakeholder enterprise deals involving EHR integrations and digital ecosystem expansion. • Influence solution positioning and commercial strategy by aligning technical architecture with customer business outcomes. • Contribute to long-term solution strategy based on market feedback and enterprise customer needs. • Own and drive complex technical due diligence activities, including enterprise security reviews, vendor risk assessments, technical RFP/RFI responses, and penetration testing discussions, ensuring alignment with customer compliance and security requirements. • Discuss authentication, authorization, identity management, and secure data exchange patterns, including OAuth2, SSO, and role-based access controls. • Design and present technical solution architectures, system diagrams, data flow diagrams, integration specifications, and deployment models aligned to customer environments. • Partner with Product, Engineering, SEAD, Security, and Implementation teams to validate technical feasibility, assumptions, constraints, and solution scope. • Clearly communicate technical capabilities, limitations, dependencies, and trade-offs to internal and external stakeholders. • Assist in defining implementation approaches, integration timelines, and technical prerequisites to support effective post-sale handoff. • Collaborate with Marketing and Revenue Operations to develop and maintain technical collateral, reference architectures, and technical enablement materials. • Proactively identify and mitigate technical and architectural risks early in the sales cycle including data quality, integration complexity, interoperability limitations, security posture, and deployment constraints while developing executive-ready mitigation strategies that protect deal velocity.

• Working with NVIDIA Partners and OEMs in Public Sector on large data center networking system deployments. • Guide customer discussions on network design, compute/storage, and support bring up of server/network/cluster deployments. • Become the primary technical driver for customers during the design, development, construction, integration, and production of networking infrastructure and applications throughout the entire customer lifecycle. • Work as the customer's trusted advisor conducting regular technical customer meetings for product roadmap, cluster issue debugging, feature discussions and introduction to new technology solutions. • Partner with other SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, and secure business opportunities for NVIDIA. • Analyze and debug compute/network configuration and performance issues to deliver performant clusters. • Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications. • Educate C-Suite-level decision-makers about the benefits of AI and enhanced computing performance. • Handle communication with customers and NVIDIA Management. • Provide constructive feedback to engineering and product regarding product requirements, customer experience, documentation, and tools.

• Working with NVIDIA Cloud Partners in Canada on large data center GPU server deployments • Guide customer discussions on network design, compute/storage, and support bring up of server/network/cluster deployments • Visit customer data center during bring up phase • Become the primary technical driver for customers during design, development, construction, integration, and production of GPU Cloud infrastructure • Conduct regular technical customer meetings for product roadmap, cluster issue debugging, feature discussions, and introduction to new technology solutions • Partner with other SAs, Account Managers, Engineering, and Product leaders to secure business opportunities

• Work closely with NVIDIA Cloud Partners to design, implement, and operationalise NVIDIA's cutting-edge hardware and software solutions, ensuring seamless integration with datacentre power, cooling, and MEP systems. • Collaborate with Sales Account Managers and other business leads to identify and secure business opportunities for NVIDIA products and solutions, including those involving datacentre infrastructure upgrades and expansion. • Conduct regular technical customer meetings to discuss project and product details, features, introduction to new technologies, debugging sessions, and address datacentre-related challenges such as optimising power usage and cooling efficiency. • Prepare and deliver technical content to customers, including presentations and workshops, with an emphasis on datacentre best practices, power and cooling optimisation, and MEP requirements for large-scale GPU deployments.