Note: The job is a remote job and is open to candidates in USA. Guidehouse is seeking a highly experienced, driven Lead AI Software Engineer to join their growing team supporting federal clients. This role involves leading the design, development, and deployment of AI-enabled full-stack web applications on AWS, working with cross-functional teams to deliver high-impact solutions that combine modern engineering practices with Artificial Intelligence capabilities.
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
Skills
- 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
- Experience developing AI/ML applications, such as Retrieval-Augmented Generation (RAG), chatbots, semantic search, or agentic workflows
- Familiarity with AI frameworks such as LangChain, Haystack, Semantic Kernel, or similar
- Experience with AWS services such as Lambda, ECS/Fargate, API Gateway, Step Functions, S3, and Glue
- Experience with modern data architectures, including lakehouse, federated query engines, or analytics platforms
- Experience with data visualization tools and libraries (e.g., D3.js, Plotly, Tableau, QuickSight)
- Familiarity with Infrastructure as Code (Terraform, AWS CDK, CloudFormation)
- Knowledge of federal security and compliance standards (FISMA, FedRAMP, NIST 800-53)
- SAFe certification or additional Agile certifications
- Experience mentoring teams and driving adoption of secure, AI-enabled, cloud-native development practices
Benefits
- Medical, Rx, Dental & Vision Insurance
- Personal and Family Sick Time & Company Paid Holidays
- Parental Leave
- 401(k) Retirement Plan
- Group Term Life and Travel Assistance
- Voluntary Life and AD&D Insurance
- Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
- Transit and Parking Commuter Benefits
- Short-Term & Long-Term Disability
- Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
- Employee Referral Program
- Corporate Sponsored Events & Community Outreach
- Care.com annual membership
- Employee Assistance Program
- Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
- Position may be eligible for a discretionary variable incentive bonus
Company Overview