AI Systems Engineer (SE-3)

Leidos has a new and exciting opportunity for an Artificial Intelligence (AI) Systems Engineer in our Intelligence Sector's (INTEL) Cyber & Analytics Business Area (CABA).  Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more.  Join us and make a difference in National Security!  

Job Summary:

Our LOE program provides our customer's Operations organization with the best possible solutions for their mission needs. We achieve this through rapid prototyping, new development, and advanced technology research. From leading-edge visualizations to analytic development, we're always pushing the boundaries to find new and better data sources and tradecraft to answer intelligence questions. With a focus on collaboration and a fast-paced environment, our prototype development program is the ideal place to grow your skills and make a real impact. Click here to learn more about how this program “Delivers Mission Success!”

Seeking a motivated AI System Engineer to support the exciting Technology Trending Solutions mission. The engineer will work closely with mission stakeholders to build agentic AI solutions that automate research, analysis, reporting, and data workflows while creating intuitive natural language interfaces that make complex Knowledge Graphs accessible to users. You'll leverage AWS cloud services, migrate and manage data in cloud-hosted environments, and apply analytics and statistical techniques to uncover actionable insights. Experience with technical targeting and interactive data visualization is a strong plus, helping transform sophisticated data science outputs into impactful decision-support tools.

*Qualified candidates are eligible for enhanced incentives including up to a $25K cash sign on bonus or a paid time off bonus.

Job Responsibilities/Qualifications:

• Mission Focus: Collaborate closely with customers to bridge advanced AI capabilities, data engineering, and user experience design. The ideal candidate has hands-on experience developing agentic AI workflow automations for data pipelines, research and analysis, and automated reporting.
• Technical Proficiency: Comfortable configuring and managing AWS services, migrating data into AWS-hosted databases, and supporting scalable cloud-based solutions. Experience developing analytics capabilities, applying statistical analysis, and leveraging technical targeting methodologies is highly desirable.
• Qualifications: Bachelor's degree plus nine (9) years of relevant experience or equivalent. Proficiency with object-oriented languages (JAVA, JavaScript, Python) and experience with Jupyter Notebooks
• Security Clearance: Active TS/SCI with Polygraph required to be considered for this role.
• Desirable Skills: Experience creating interactive visualizations that transform complex data science insights into compelling, actionable intelligence for end users and decision-makers.

At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you – apply today!

Careers.leidos.com

CONMD

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 20, 2026

Pay Range:

Pay Range $107,900.00 - $195,050.00

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.