Senior AI Software Engineer

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.

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. 

• 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.

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 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

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:

July 9, 2026

Pay Range:

Pay Range $131,300.00 - $237,350.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.