nSenior AI Software Engineer

• 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
• 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\n
• Must possess and maintain a TS Security Clearance with the ability to obtain SCI with a CI Poly\n
• DoD 8570 Certification Compliance (IAT Level 2/3)\n
• Familiar with team collaboration tools (Jira, Confluence, RocketChat)\n
• Experience in Cloud and PaaS environments\n
• Subject Matter Expertise understanding across various AI technologies,\n
• Familiar with the following: Jira, Confluence, Jenkins, Python, Gitlab, CloudFormation, Zabbix, ACAS, PostgreSQL, Scrum, Kanban, Terraform\n
• Knowledge of SDLC and AGILE best practices\n
• Windows Domain Administrator of user accounts and group policy objects and Linux administration\n
• Leadership experience demonstrating a positive, willing attitude and excellent oral and written communication skills.\n
• Ability to communicate effectively with executive-level leadership (internal and client) on high-impact organizational and program matters.\n
• Demonstrates ability to adapt to new AI technologies and learn quickly\n, * Understanding of SFH organization; Sea data and mission\n
• Experience with NGA cloud-based architecture\n
• AWS Solutions Architect, AWS Developer, Machine Learning\n
• Experience with IC Cloud Architecture implementation methodologies\n
• Native cloud templating services like AWS Cloud Formation\n
• Experience with CI/CD Pipelines and projects\n

The Leidos National Solutions team is seeking a \nSenior 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-generation methodologies.\n \n \nPrimary Responsibilities:\n \n \n

• Strong collaboration with team's in the design and implementation of AI architectures to include operational status, coding improvements, dashboard tooling including security.\n
• Supports Leidos AI initiatives, providing insight into technologies, tooling and practices.\n
• Designs, secures and automates AWS cloud initiatives while optimizing agent and customer experiences to full AI potential.\n
• Optimize and enhance customer experiences, enhancing software development flows, quality metrics, KPIs, and Dashboards with AI.\n
• Provides broad-based experience in the systems engineering lifecycle and applies experience/knowledge to cloud initiatives relating to architectural design and development.\n
• Leads team's to deploy and configure services with AI tools\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