Guidehouse
LeadAISoftwareEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead AI Software Engineer at Guidehouse. Skills: AI Software Engineering, Full-stack Development, AWS Cloud, Generative AI. Lead architecture design. Lead implementation design”
Industry & Context.
Root cause analysis; Debugging; Troubleshooting
Ability to Obtain Public Trust, Public Trust clearance required
What They're Looking For.
Must Have
Obtain Public Trust clearance, Bachelor's degree or 4 years experience, 6 years software engineering experience, Expert Java or Python, Hands-on ReactJS experience, Full-stack AWS deployment experience, Workflow orchestration experience, Relational database experience, Data visualization experience, Accessible web UI design, RESTful API design, Microservices architecture experience, Distributed systems experience, Generative AI coding tools experience, SAFe environment experience, DevSecOps tools experience, CI/CD pipeline implementation, Automated testing experience, Version control experience, Secure coding practices experience
Nice to Have
Active Public Trust clearance, AI/ML application development, LangChain or Haystack experience, AWS Lambda experience, AWS ECS/Fargate experience, AWS API Gateway experience, AWS Step Functions experience, AWS S3 experience, AWS Glue experience, Modern data architecture experience, D3.js or Plotly experience, Tableau or QuickSight experience, Infrastructure as Code experience, Terraform or AWS CDK experience, Federal security compliance knowledge, FISMA or FedRAMP knowledge, NIST 800-53 knowledge, SAFe certification
What You'll Do.
Lead architecture design
Lead implementation design
Develop end-to-end solutions
Maintain end-to-end solutions
Design accessible interfaces
Implement accessible interfaces
Architect data models
Build workflow capabilities
Integrate workflow capabilities
Develop data visualization features
Develop analytics features
Lead AI feature implementation
Utilize Generative AI tools
Contribute to agile trains
Participate in sprint planning
Coordinate cross-team efforts
Implement DevSecOps practices
Enforce DevSecOps practices
Leverage security tools
Identify software vulnerabilities
Analyze software vulnerabilities
Remediate software vulnerabilities
Design CI/CD pipelines
Maintain CI/CD pipelines
Mentor engineering teams
Establish best practices
Collaborate to prototype
Collaborate to iterate
Deliver scalable solutions
Deliver secure solutions
How You'll Work.
Team & Collaboration
Cross-functional teams; Mission stakeholders; Agile release trains; Cross-team coordination
Communication Scope
Engage stakeholders
Process & Methodology
SAFe, Agile, Sprint planning, Backlog refinement
Full Job Description
**_Job Family_ :** Software Development & Support ** _Travel Required_ :** None ** _Clearance Required_ :** Ability to Obtain Public Trust ** _What You Will Do_** Guidehouse 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 (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 th
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