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# Senior AI Software Engineer

- **Company:** Leidos, Inc.
- **Location:** Saint Charles, MO, United States
- **Experience:** Expert
- **Salary:** $131,300.0 - $237,350.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Systems Engineering, Confluence, JIRA, Cloud Computing, Cloud Engineering, Collaborative Software, Python (Programming Language), PostgreSQL, Linux System Administration, Machine Learning, Windows Domain, Platform as a Service (PAAS), Scrum Methodology, Systems Development Life Cycle, Service-Oriented Architecture, Software Engineering, Virtualization Technology, Web Services, Zabbix, Cloud Platform System, Gitlab, Cloudformation, Information Technology, Terraform, Jenkins, User Accounts
- **Published:** July 11, 2026
- **Apply:** https://www.careerjet.com/job/us9789f16dcc04b1e09fbc92e28dd4c946/eaa

## About the Role

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 Poly
DoD 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

## Description

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


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