Senior AI Software Engineer

About the role

The Leidos National Solutions team is seeking a Senior AI Software Engineer to lead advanced development efforts and collaborate closely with pipeline engineering and deployment teams. The FS2 Sea task order supports multiple operational, cloud-deployed technologies, requiring a senior engineer capable of driving innovation across complex, mission-critical systems.

Responsibilities

• Strong collaboration with team’s in the design and implementation of AI architectures to include operational status, coding improvements, dashboard tooling including security.
• Supports Leidos AI initiatives, providing insight into technologies, tooling and practices.
• Designs, secures and automates AWS cloud initiatives while optimizing agent and customer experiences to full AI potential.
• Optimize and enhance customer experiences, enhancing software development flows, quality metrics, KPIs, and Dashboards with AI.
• Led team’s to deploy and configure services with AI tools.
• Ensures AI models, pipelines, and cloud-deployed services adhere to governance, compliance, and security standards, providing guidance on responsible AI implementation across mission systems.

Qualifications

• Requires BS degree (Computer Science, Engineering or related field) and 12+ years of prior relevant experience OR, MS with 10+ years of prior relevant experience; OR 7 years of additional experience in lieu of degree.
• 9+ years of experience leading, designing and implementing distributed solutions and 7+ years of experience with cloud-based solutions (Cloud, SOA, Web-Services) including virtualization environment, network and operating system experience.
• Must possess and maintain a TS Security Clearance with the ability to obtain SCI with a CI PolyDoD 8570 Certification Compliance (IAT Level 2/3).
• Familiar with team collaboration tools (Jira, Confluence, RocketChat).
• Experience in Cloud and PaaS environments.
• Understanding of SFH organization; Sea data and mission.
• Experience with NGA cloud-based architecture.
• AWS Solutions Architect, AWS Developer, Machine Learning.
• Experience with IC Cloud Architecture implementation methodologies.
• Native cloud templating services like AWS Cloud Formation.
• Experience with CI/CD Pipelines and projects.