Senior AI Software Engineer in East Carondelet

The Leidos 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. We are looking for a highly motivated AI expert who can architect solutions, tackle sophisticated challenges across Sea-based systems and deliver capabilities that exceed current performance benchmarks through the integration of emerging AI technologies, advanced features, and next- methodologies., Requires BS degree (Computer Science, Engineering or related field) and 12+ year’s of prior relevant experience OR, MS with 10+ year’s of prior relevant experience; OR 7 years of additional experience in lieu of degree \n

• \n 9+ year’s experience leading, designing and implementing distributed solutions and 7+ year’s 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 Poly, Leadership experience demonstrating a positive, willing attitude and excellent oral and written communication skills., Ability to communicate effectively with executive-level leadership (internal and client) on high-impact organizational and program matters.

Strong collaboration with team’s in the design and implementation of AI architectures to include operational status, coding improvements, dashboard tooling including security. \n

• \n Supports Leidos AI initiatives, providing insight into technologies, tooling and practices. \n

• \n Designs, secures and automates AWS cloud initiatives while optimizing agent and customer experiences to full AI potential. \n

• \n Optimize and enhance customer experiences, enhancing software development flows, quality metrics, KPIs, and Dashboards with AI. \n

• \n Provides broad-based experience in the systems engineering lifecycle and applies experience/knowledge to cloud initiatives relating to architectural design and development. \n

• \n Leads team’s to deploy and configure services with AI tools \n

• \n Ensures AI models, pipelines, and cloud-deployed services adhere to governance, compliance, and security standards, providing guidance on responsible AI implementation across mission systems. \n

\n

\n