Senior Full Stack AI Engineer, (Senior Consultant, Engineering & Technical Services)

Job Requirements

The Senior Full Stack AI Engineer will lead the design and build of n-tier solutions, modernizing the federal platform by migrating legacy components to cloud-native AWS services while integrating Amazon Bedrock AI capabilities, modern application architectures, automated testing, CI/CD, and secure software engineering practices.

• Collaborate with cross-functional teams to align the technical vision, implementation, and quality of software systems across development, reliability, testing, and operations.
• Bridge business objectives with technical execution in software development, infrastructure, security, and testing at an advanced application level of proficiency.
• Work on projects that ensure scalable, secure, and reliable solutions while mentoring engineers, fostering collaboration, and aligning stakeholders with product and project goals.

Project Skills and Experience

• Minimum of 7 years of experience in software engineering, full stack development, or related technical roles.
• Minimum of 5 years of experience building solutions in DevSecOps environments with automated security controls.
• Experience working at or in support of the U.S. Securities and Exchange Commission (SEC), with knowledge of SEC business processes, systems, and regulatory mission.
• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field, or equivalent work experience.
• Ability to obtain and maintain Public Trust clearance.
• Proven experience building .NET solutions in enterprise or federal environments.
• Demonstrated experience building data pipelines using Python, SQL, and AWS services.
• Experience recommending and executing migration strategies from legacy systems to AWS managed services.

Preferred Experience, Skills, and Certifications

• Experience supporting federal AI modernization initiatives or large-scale cloud transformation programs.
• AWS Solutions Architect Associate certification.
• Microsoft .NET Developer certification.
• AWS AI Practitioner certification.