> Markdown version of [/jobs/ext/3728994-software-engineer](https://www.wearedevelopers.com/jobs/ext/3728994-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Guidehouse Inc. - **Location:** Washington, DC, United States - **Experience:** Expert - **Salary:** $98,000.0 - $163,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Software Applications, Computing Platforms, Audit Trail, Automation of Tests, Information Systems, Continuous Integration, Data Governance, Knowledge Management, Machine Learning, Software Maintenance, Release Management, Cloud Services, Data Driven Tests, Software Engineering, Systems Integration, Large Language Models, Information Technology, Data Analytics, Software Version Control - **Published:** October 14, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9237800/software-engineer ## About the Role * Must be able to OBTAIN and MAINTAIN a Federal or DoD "TOP SECRET" security clearance. * Bachelor's Degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Engineering, Information Systems, Mathematics, or a related field. * SIX (6)+ years of relevant experience in designing, developing, deploying, and maintaining software applications, platforms, analytics solutions, or AI-enabled systems. * Experience with software engineering, application development, testing, system integration, and modern development practices. What Would Be Nice To Have : * Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field. * Experience supporting intelligence, national security, defense, technology, or other mission-focused environments. * Experience with AI/ML, data analytics, automation, knowledge management, or decision-support technologies. * Experience deploying, operating, or evaluating software platforms, cloud services, or AI-enabled capabilities. * Experience developing technical assessments, operational frameworks, strategic plans, or modernization initiatives. * Experience integrating diverse stakeholder requirements across organizations and functional teams. * Experience leading technical initiatives, projects, or teams. * Demonstrated ability to improve processes, methodologies, system performance, and mission outcomes. * Strong written and verbal communication skills, including experience collaborating with technical and non-technical stakeholders. * Ability to work in complex, multidisciplinary environments and manage competing priorities. ## Description * Design, develop, and maintain software applications, workflows, and user-facing tools that support data-driven analysis and operational decision-making. * Build and integrate AI-enabled capabilities, analytics solutions, APIs, and automation services into mission applications and business processes. * Deploy, configure, evaluate, and maintain software and AI models to ensure performance, reliability, scalability, and usability. * Develop and maintain Continuous Integration and Continuous Delivery (CI/CD) pipelines, automated testing, release management, and recovery processes. * Implement data governance, access controls, auditability, and security measures to protect sensitive information and system integrity. * Monitor application and model performance, identify issues, and implement improvements to enhance accuracy, efficiency, and user experience. * Collaborate with technical, operational, and leadership stakeholders to gather requirements, deliver solutions, and support mission objectives. * Produce technical documentation, assessments, and recommendations that support system operations, modernization, and continuous improvement. * Deploy, evaluate, and maintain AI-enabled capabilities including local LLMs, OCR/NLP services, ranking models, APIs, and automation tools while implementing governance, auditability, version control, privacy protections, recipient-specific delivery controls, sanitization workflows, and operational monitoring to ensure reliability and performance across production environments.