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.

Primary 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.

Basic Qualifications

• 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
• 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 PolyDoD 8570 Certification Compliance (IAT Level 2/3)
• Familiar with team collaboration tools (Jira, Confluence, RocketChat)
• Experience in Cloud and PaaS environments
• Subject Matter Expertise understanding across various AI technologies
• Familiar with the following: Jira, Confluence, Jenkins, Python, Gitlab, CloudFormation, Zabbix, ACAS, PostgreSQL, Scrum, Kanban, Terraform
• Knowledge of SDLC and AGILE best practices
• Windows Domain Administrator of user accounts and group policy objects and Linux administration
• 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
• Demonstrates ability to adapt to new AI technologies and learn quickly

Preferred Qualifications

• 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