This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description REI is leading the integration of Artificial Intelligence across digital solution design, enterprise platforms, and federal modernization efforts. This Digital Solutions Enterprise Architect will operate in an AI-enabled environment and is expected to understand how AI augments digital platforms, cloud architectures, data pipelines, and system interoperability while ensuring security, scalability, and compliance in federal environments. Responsibilities - Craft innovative, compelling and compliant technical solutions for approved captures, focusing on proposition, plans, products, and pricing. - Design enterprise-scale, cloud-native architectures aligned with customer mission needs, leveraging expertise in AWS, Azure, hybrid cloud, distributed systems, Kubernetes, microservices, and event-driven architectures. - Incorporate platform engineering principles, including reusable accelerators, DevSecOps pipelines, automation, security-by-design, and secure software supply chain patterns into proposal solutioning. - Maintain Modernization Roadmap: Align digital transformation and cloud modernization strategies with the Account Agency’s CIO and business initiatives, ensuring continued relevance and value. - Continuously assess emerging technologies including agentic AI, cloud-native security, compliance automation (cATO/RMF), and distributed system patterns to ensure solutions remain cutting-edge. - Support Proposal Development: Lead technical solutioning on strategic captures, competitive proposals, and recompetes including architecture narratives, diagrams, compliance matrices, and cloud cost models. - Provide hands-on leadership for technical orals, code challenges, and solution demonstrations (leveraging experience delivering multi-million-dollar wins). - Lead Thought Leadership: Contribute to thought leadership by aligning modernization efforts with the Account’s strategic goals and collaborating with marketing and offering teams. - Foster Internal Collaboration: Build strong relationships across REI and mentor senior technical staff to support organizational growth. - Technical Leadership: Lead the development of enterprise solutions that align with customer needs and support REI’s business goals. - Drive REI’s cloud and platform engineering thought leadership, contributing to internal best practices, GTM offerings, accelerators, and reusable architectural patterns. - Influence and Engage Stakeholders: Influence customer executives, program leadership, and technical teams to adopt modern, secure, and scalable architectures. - Support Market Research: Lead responses to market research activities, contributing to insights that shape technical and business strategies. - Decision Support: Provide technical input for lead identification and qualification, ensuring strategic alignment with REI’s growth objectives. Qualifications - Enterprise-scale Delivery Experience: Proven experience delivering large-scale software and data platforms for Federal agencies. - Technical Expertise: Familiarity with multiple technology stacks, including cloud technology, AI and low-code platforms. - Leadership in Proposal Generation: Experience leading the creation of technical proposals for government projects. - Capture and Sales Support: Experience supporting capture and sales efforts in the U.S. Federal public sector. - Solution Development Lifecycle: Expertise in end-to-end solution development using Agile methodologies. - Cloud Services Knowledge: Strong knowledge of cloud services, particularly in identity management, microservices, event-driven architecture, and modern data architecture. Preferred Qualifications - Agile and DevSecOps Experience: Proficiency in delivery frameworks like Agile, DevSecOps, and Human-Centered Design. - Advanced Cloud Expertise: Experience with advanced cloud services and their applications in modernizing enterprise solutions. - Innovative Problem-Solving: A passion for solving complex business challenges with the latest technologies. - Thought Leadership: Ability to provide strategic thought leadership and contribute to long-term growth strategies for the organization. - Platform engineering teams: Experience building or leading platform engineering teams, internal developer platforms, and reusable enterprise accelerators. Education - Bachelor’s degree in computer science, data analytics, business intelligence, economics, statistics, or mathematics. Clearance - Ability to obtain and maintain a clearance is preferred. Location - Hybrid (One day per week or as needed in the REI Sterling Office). EEO Statement REI Systems is an Equal Opportunity Employer. In our workplace, we seek, we welcome, and respect diversity in all of its forms.