Lead AI Software Engineer

Job Family:

Software Development & Support

Travel Required:

None

Clearance Required:

Ability to Obtain Public Trust What You Will DoGuidehouse Technology is seeking a highly experienced, driven Lead AI Software Engineer to join our growing team supporting federal clients. This role is ideal for a senior technologist who is passionate about building scalable, secure, and user-centric AI-enabled solutions to address complex government mission challenges.

You will lead the design, development, and deployment of full-stack web applications on AWS, integrating workflow orchestration, relational data systems, advanced analytics, and intuitive, accessible user interfaces. Working with cross-functional teams—including software engineers, data scientists, product managers, and mission stakeholders—you will deliver high-impact solutions that combine modern engineering practices with Artificial Intelligence capabilities.

This role emphasizes hands-on leadership, strong engineering fundamentals, and modern software development practices—including the use of Generative AI–assisted coding tools to accelerate development, improve quality, and enhance delivery velocity.

Key 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 (React

JS), 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., Postgre

SQL, 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., Git Hub 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 Dev Sec Ops  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.

What You Will Need 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 React

JS 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…