{"schemaVersion":"jobsearcher.job.v1","id":"1a566ee76085c2b7cfc96d98","url":"https://jobsearcher.com/jobs/1a566ee76085c2b7cfc96d98","canonicalUrl":"https://jobsearcher.com/jobs/1a566ee76085c2b7cfc96d98","title":"Principal AI Software Developer","description":"Overview\r\nThe Senior Principal Software Engineer/Developer will serve as a lead enterprise architect and AI engineering authority, responsible for defining and delivering large-scale, mission-critical AI-enabled systems for HUD and the AIR platform. This role goes beyond hands-on development to include enterprise-wide technical strategy, cross-program architecture leadership, executive-level stakeholder engagement, and AI governance and innovation leadership in federal environments.\r\nResponsibilities\r\nServe as the primary technical authority across multiple programs, defining AI and application architecture strategy at the enterprise level\r\nEstablish long-term modernization roadmaps for federal systems, aligning AI adoption with mission outcomes and compliance requirements\r\nAct as a trusted advisor to senior federal stakeholders (SES-level and above) on AI strategy, system modernization, and technology risk\r\nDrive technical decision-making across portfolios, ensuring scalability, interoperability, and long-term sustainability\r\nOwn end-to-end enterprise architecture across multiple interconnected systems, platforms, and programs\r\nLead design of complex, distributed AI-enabled architectures, including multi-cloud and hybrid environments\r\nDefine and enforce architecture standards, reference architectures, and reusable frameworks across teams\r\nLead development of advanced AI solutions, including RAG systems at scale, agentic workflows and orchestration frameworks, and AI-driven automation across mission workflows\r\nEstablish AI engineering best practices and standards across the organization\r\nEvaluate and lead adoption of emerging AI technologies, guiding pilots into production-ready capabilities\r\nDrive innovation initiatives tied to AIR platform growth and differentiation\r\nOversee multiple concurrent development efforts, ensuring alignment with architecture, security, and delivery goals\r\nProvide technical leadership across integrated product teams, including architects, engineers, and DevSecOps specialists\r\nEnsure delivery of high-availability, production-grade systems supporting federal missions\r\nServe as a subject-matter expert in federal AI policy and governance, including NIST AI RMF, OMB M-24-10, and EO 14110\r\nEstablish and oversee organization-wide responsible AI frameworks, including model evaluation and validation, bias mitigation strategies, and explainability and auditability\r\nEnsure full compliance across programs with FISMA, FedRAMP, NIST 800-53, privacy, accessibility (Section 508), and security mandates\r\nLead large-scale legacy modernization initiatives, including enterprise COBOL-to-Python transformations, migration to cloud-native, and microservices-based architectures\r\nDefine repeatable modernization frameworks and accelerators\r\nOversee implementation of enterprise-grade DevSecOps pipelines and platform engineering practices\r\nDrive adoption of advanced CI/CD automation, Zero-trust architectures, and secure supply chain practices (SBOM, scanning, policy enforcement)\r\nMentor senior engineers, architects, and technical leads\r\nBuild and scale high-performing engineering teams\r\nLead technical hiring, workforce planning, and capability development\r\nPlay a key leadership role in proposals, captures, and recompetes\r\nServe as technical lead in client presentations, demos, and strategy sessions\r\nContribute to thought leadership (whitepapers, architecture frameworks, innovation roadmaps)\r\nQualifications\r\nKnowledge/Skills/Abilities: Initial:\r\nProven ability to operate as an Enterprise architect, chief engineer, or technical director-level leader\r\nStrong executive communication skills with demonstrated success influencing C-suite or federal senior leadership\r\nDeep expertise in scaling engineering organizations and delivering across complex programs\r\nAbility to balance strategic vision with hands-on technical depth\r\nQualifications\r\nUS Citizenship is required\r\nBachelor's or master's degree in Computer Science, Software Engineering, or a related field\r\n12–15+ years of software engineering experience, including 6–8+ years in AI-enabled systems (LLMs, generative AI, applied ML in production) (enhanced from 8+ years total)\r\nDemonstrated experience leading enterprise-scale architecture and multi-team delivery efforts\r\nExpert-level proficiency in Python and modern backend frameworks and Full-stack architectures and modern front-end technologies\r\nDeep experience in Cloud-native platforms (Azure, AWS, GCP) at scale and Multi-environment deployments in FedRAMP-authorized environments\r\nExtensive experience with AI/ML platforms (OpenAI, Bedrock, Vertex AI, etc.) and Advanced AI architectures (RAG, orchestration, agents)\r\nProven track record of leading large modernization programs (COBOL-to-modern stack transformation) and delivering mission-critical federal systems\r\nDeep knowledge of NIST AI RMF and federal AI governance frameworks and secure software development in federal environments\r\nStrong experience with Microservices, APIs, distributed systems design and DevSecOps and platform engineering leadership\r\nPrior experience serving as Lead Architect, Chief Engineer, or Technical Director on federal programs\r\nActive clearance (Public Trust, Secret, or higher strongly preferred)\r\nPrior HUD or federal civilian agency leadership experience\r\nExperience contributing to organizational AI strategy or product platforms (e.g., AIR-like platforms)\r\nTarget Pay Range\r\nThe below listed pay range for this position is not a guarantee of compensation or salary. The final offered salary will be influenced by a host of factors including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at Pyramid Systems that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits, to include our Employee Stock Ownership Program, FlexPTO, and learning and development opportunities.\r\nPyramid Min USD $166,091.00/Yr.\r\nPyramid Max USD $210,000.00/Yr.\r\nEEO Statement\r\nPyramid Systems, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.\r\nJ-18808-Ljbffr","company":"Pyramid Systems","rawCompany":"pyramid systems","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-07-16T01:36:14.941Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"11-9041.00","title":"Architectural and Engineering Managers","slug":"architectural-and-engineering-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Principal AI Software Developer","description":"Overview\r\nThe Senior Principal Software Engineer/Developer will serve as a lead enterprise architect and AI engineering authority, responsible for defining and delivering large-scale, mission-critical AI-enabled systems for HUD and the AIR platform. This role goes beyond hands-on development to include enterprise-wide technical strategy, cross-program architecture leadership, executive-level stakeholder engagement, and AI governance and innovation leadership in federal environments.\r\nResponsibilities\r\nServe as the primary technical authority across multiple programs, defining AI and application architecture strategy at the enterprise level\r\nEstablish long-term modernization roadmaps for federal systems, aligning AI adoption with mission outcomes and compliance requirements\r\nAct as a trusted advisor to senior federal stakeholders (SES-level and above) on AI strategy, system modernization, and technology risk\r\nDrive technical decision-making across portfolios, ensuring scalability, interoperability, and long-term sustainability\r\nOwn end-to-end enterprise architecture across multiple interconnected systems, platforms, and programs\r\nLead design of complex, distributed AI-enabled architectures, including multi-cloud and hybrid environments\r\nDefine and enforce architecture standards, reference architectures, and reusable frameworks across teams\r\nLead development of advanced AI solutions, including RAG systems at scale, agentic workflows and orchestration frameworks, and AI-driven automation across mission workflows\r\nEstablish AI engineering best practices and standards across the organization\r\nEvaluate and lead adoption of emerging AI technologies, guiding pilots into production-ready capabilities\r\nDrive innovation initiatives tied to AIR platform growth and differentiation\r\nOversee multiple concurrent development efforts, ensuring alignment with architecture, security, and delivery goals\r\nProvide technical leadership across integrated product teams, including architects, engineers, and DevSecOps specialists\r\nEnsure delivery of high-availability, production-grade systems supporting federal missions\r\nServe as a subject-matter expert in federal AI policy and governance, including NIST AI RMF, OMB M-24-10, and EO 14110\r\nEstablish and oversee organization-wide responsible AI frameworks, including model evaluation and validation, bias mitigation strategies, and explainability and auditability\r\nEnsure full compliance across programs with FISMA, FedRAMP, NIST 800-53, privacy, accessibility (Section 508), and security mandates\r\nLead large-scale legacy modernization initiatives, including enterprise COBOL-to-Python transformations, migration to cloud-native, and microservices-based architectures\r\nDefine repeatable modernization frameworks and accelerators\r\nOversee implementation of enterprise-grade DevSecOps pipelines and platform engineering practices\r\nDrive adoption of advanced CI/CD automation, Zero-trust architectures, and secure supply chain practices (SBOM, scanning, policy enforcement)\r\nMentor senior engineers, architects, and technical leads\r\nBuild and scale high-performing engineering teams\r\nLead technical hiring, workforce planning, and capability development\r\nPlay a key leadership role in proposals, captures, and recompetes\r\nServe as technical lead in client presentations, demos, and strategy sessions\r\nContribute to thought leadership (whitepapers, architecture frameworks, innovation roadmaps)\r\nQualifications\r\nKnowledge/Skills/Abilities: Initial:\r\nProven ability to operate as an Enterprise architect, chief engineer, or technical director-level leader\r\nStrong executive communication skills with demonstrated success influencing C-suite or federal senior leadership\r\nDeep expertise in scaling engineering organizations and delivering across complex programs\r\nAbility to balance strategic vision with hands-on technical depth\r\nQualifications\r\nUS Citizenship is required\r\nBachelor's or master's degree in Computer Science, Software Engineering, or a related field\r\n12–15+ years of software engineering experience, including 6–8+ years in AI-enabled systems (LLMs, generative AI, applied ML in production) (enhanced from 8+ years total)\r\nDemonstrated experience leading enterprise-scale architecture and multi-team delivery efforts\r\nExpert-level proficiency in Python and modern backend frameworks and Full-stack architectures and modern front-end technologies\r\nDeep experience in Cloud-native platforms (Azure, AWS, GCP) at scale and Multi-environment deployments in FedRAMP-authorized environments\r\nExtensive experience with AI/ML platforms (OpenAI, Bedrock, Vertex AI, etc.) and Advanced AI architectures (RAG, orchestration, agents)\r\nProven track record of leading large modernization programs (COBOL-to-modern stack transformation) and delivering mission-critical federal systems\r\nDeep knowledge of NIST AI RMF and federal AI governance frameworks and secure software development in federal environments\r\nStrong experience with Microservices, APIs, distributed systems design and DevSecOps and platform engineering leadership\r\nPrior experience serving as Lead Architect, Chief Engineer, or Technical Director on federal programs\r\nActive clearance (Public Trust, Secret, or higher strongly preferred)\r\nPrior HUD or federal civilian agency leadership experience\r\nExperience contributing to organizational AI strategy or product platforms (e.g., AIR-like platforms)\r\nTarget Pay Range\r\nThe below listed pay range for this position is not a guarantee of compensation or salary. The final offered salary will be influenced by a host of factors including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at Pyramid Systems that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits, to include our Employee Stock Ownership Program, FlexPTO, and learning and development opportunities.\r\nPyramid Min USD $166,091.00/Yr.\r\nPyramid Max USD $210,000.00/Yr.\r\nEEO Statement\r\nPyramid Systems, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.\r\nJ-18808-Ljbffr","datePosted":"2026-07-16T01:36:14.941Z","dateModified":"2026-07-16T01:36:14.941Z","hiringOrganization":{"@type":"Organization","name":"Pyramid Systems","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1a566ee76085c2b7cfc96d98"},"url":"https://jobsearcher.com/jobs/1a566ee76085c2b7cfc96d98"}}