• Own system architecture for inference stack and other applications running on this class of products • Co-architect with the orbital hardware system architecture team • Define the manageability architecture for an unreachable, autonomous data center • Architect rad-tolerant system software behaviors • Drive Redfish, MCTP, PLDM, and constellation-level management protocols • Partner with cloud and constellation customers to translate mission requirements • Drive reliability and optimization in the system software architecture • Own quality, reliability, and telemetry performance of the system software

• Design and architect scalable and high-performance back-end software solutions that integrate various systems. • Collaborate with stakeholders to gather requirements and translate them into technical specifications and architectural designs for complex integrations. • Evaluate and recommend tools, technologies, and processes to enhance integration efficiency and software quality, with a focus on .NET technologies. • Ensure solutions are aligned with the overall enterprise architecture and comply with best practices and standards for system reliability and security. • Lead the development of architectural documentation, including system diagrams, integration strategies, and design patterns for service-oriented architecture (SOA). • Work closely with development teams to ensure successful implementation of architectural designs, particularly for SOAP and RESTful APIs. • Conduct architectural reviews and provide feedback to ensure quality and performance within the development lifecycle. • Stay up to date with emerging technologies and trends in system integration, assessing their potential impact on the organization and its projects.

• In this position, you will utilize your expertise to assist in training next-generation AI systems. • Your contributions will influence how models learn, reason, and operate by providing high-quality, real-world input. • Work closely with the client's team to ensure the accuracy and relevance of data input related to architectural workflows. • Assess Building Information Modeling (BIM) content to guarantee compliance with standards and best practices. • Provide feedback on design methodologies, drawing standards, and project documentation as they pertain to AI development. • Engage in knowledge-sharing sessions to improve AI models by integrating current architectural expertise. • Identify gaps in the system’s understanding and suggest solutions based on industry experience.

• Own and publish the quarterly organization-wide technology radar detailing approved, trial, and retiring technologies. • Chair the monthly Architecture Review Board (ARB) to provide a feedback forum for cross-cutting decisions. • Run the Architecture Community of Practice across all embedded architects across the four delivery functions. • Own the Architecture Decision Record (ADR) process, define review thresholds, and maintain the shared repository. • Develop and publish AI architecture blueprints—pre-approved patterns teams can adopt—in partnership with Enterprise Data & AI. • Define organization-wide architecture standards including API design, data classification handling, identity integration, and security-by-design.