Lead AI Software Engineer

About the role

GuideHouse Technology is seeking a highly experienced, driven Lead AI Software Engineer to join our growing team supporting federal clients.

Responsibilities

• Lead the architecture, design, and implementation of AI-enabled full-stack web applications deployed on AWS.
• Develop and maintain end-to-end solutions spanning frontend (ReactJS), backend services (Java/Python), APIs, workflow orchestration, and relational database layers.
• Design and implement accessible, user-friendly web interfaces, ensuring compliance with Section 508 and usability standards.
• Architect and manage RDBMS-based data models (e.g., PostgreSQL, MySQL, Aurora) supporting transactional and analytical use cases.
• Build and integrate workflow and process automation capabilities to support business and mission operations.
• Develop data visualization and analytics features to enable decision-making through dashboards, charts, and interactive UI components.
• Lead implementation of AI-enabled features such as intelligent search, chatbots, document processing, or agent-driven workflows.
• Utilize Generative AI–assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, debugging, testing, refactoring, and documentation while ensuring code quality and security.
• Operate within a SAFe (Scaled Agile Framework) environment, contributing to agile release trains, sprint planning, backlog refinement, and cross-team coordination.
• Implement and enforce DevSecOps practices, leveraging application security tools (e.g., SAST, DAST, SCA) to identify, analyze, and remediate software vulnerabilities throughout the development lifecycle.
• Design and maintain CI/CD pipelines with integrated security scanning, automated testing, and compliance checks.
• Mentor engineering teams, conduct code reviews, and establish best practices in software design, security, and cloud-native development.
• Collaborate with cross-functional teams to prototype, iterate, and deliver scalable and secure solutions aligned to mission requirements.

Requirements

• Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse.
• Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or Additional FOUR (4) years equivalent experience in Lieu of degree.
• Minimum SIX (6) years of professional experience in software engineering, including experience in a senior or lead role.
• Expert-level proficiency in Java or Python for backend development.
• Strong hands-on experience with ReactJS for modern frontend application development.
• Demonstrated experience building and deploying full-stack web applications in AWS cloud environments.
• Experience implementing solutions involving workflow orchestration, relational databases (RDBMS), and data visualization.
• Experience designing and developing accessible web user interfaces, including familiarity with accessibility standards and testing tools.
• Experience designing and integrating RESTful APIs, microservices architectures, and distributed systems.
• Hands-on experience with Generative AI–aided coding and software development tools to improve productivity, code quality, and delivery efficiency.
• Experience working within a SAFe (Scaled Agile Framework) environment.
• Experience using application security and DevSecOps tools to identify, analyze, and remediate vulnerabilities across the software development lifecycle (e.g., SAST, DAST, SCA, container and dependency scanning).
• Experience implementing CI/CD pipelines, automated testing, version control, and secure coding practices.
• Strong leadership, communication, and collaboration skills, with the ability to lead technical teams and engage stakeholders effectively.

Qualifications

• Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse.
• Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or Additional FOUR (4) years equivalent experience in Lieu of degree.
• Minimum SIX (6) years of professional experience in software engineering, including experience in a senior or lead role.
• Expert-level proficiency in Java or Python for backend development.
• Strong hands-on experience with ReactJS for modern frontend application development.
• Demonstrated experience building and deploying full-stack web applications in AWS cloud environments.
• Experience implementing solutions involving workflow orchestration, relational databases (RDBMS), and data visualization.
• Experience designing and developing accessible web user interfaces, including familiarity with accessibility standards and testing tools.
• Experience designing and integrating RESTful APIs, microservices architectures, and distributed systems.
• Hands-on experience with Generative AI–aided coding and software development tools to improve productivity, code quality, and delivery efficiency.
• Experience working within a SAFe (Scaled Agile Framework) environment.
• Experience using application security and DevSecOps tools to identify, analyze, and remediate vulnerabilities across the software development lifecycle (e.g., SAST, DAST, SCA, container and dependency scanning).
• Experience implementing CI/CD pipelines, automated testing, version control, and secure coding practices.
• Strong leadership, communication, and collaboration skills, with the ability to lead technical teams and engage stakeholders effectively.

Skills

• Expert-level proficiency in Java or Python for backend development.
• Strong hands-on experience with ReactJS for modern frontend application development.
• Experience implementing solutions involving workflow orchestration, relational databases (RDBMS), and data visualization.
• Experience designing and developing accessible web user interfaces, including familiarity with accessibility standards and testing tools.
• Experience designing and integrating RESTful APIs, microservices architectures, and distributed systems.
• Hands-on experience with Generative AI–aided coding and software development tools to improve productivity, code quality, and delivery efficiency.
• Experience working within a SAFe (Scaled Agile Framework) environment.
• Experience using application security and DevSecOps tools to identify, analyze, and remediate vulnerabilities across the software development lifecycle (e.g., SAST, DAST, SCA, container and dependency scanning).
• Experience implementing CI/CD pipelines, automated testing, version control, and secure coding practices.

Benefits

The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

Pay

The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

Schedule

The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.