Senior AI Systems Engineer (SE-3)

LeidosFort Meade, MD
$107,900 - $195,050Onsite

About The Position

Leidos has a new and exciting opportunity for a Senior 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 Senior AI System Engineer to support the exciting Technology & Tradecraft Integration mission. The Engineer will work closely with mission stakeholders design, integration, and implementation of advanced AI-enabled solutions, ensuring scalable, secure, and mission-focused system architectures. This role requires expertise in systems engineering, cloud technologies, data pipelines, analytics, and modern AI capabilities, including Agentic AI workflows and natural language interfaces. Qualified candidates are eligible for enhanced incentives including up to a $25K cash sign on bonus or a paid time off bonus.

Requirements

  • Bachelor's degree plus nine (9) years of relevant systems engineering experience or equivalent.
  • Proficiency with object-oriented languages (JAVA, Python, JavaScript).
  • Experience with Jupyter Notebooks, GHOSTMACHINE, data visualization platforms, generative AI, LLM, RAG, Neo4j, AWS (Lambda, EC2, ECS/EKS, SAGEMAKER, S3, RDS, OpenSearch).
  • Active TS/SCI with Polygraph security clearance.

Nice To Haves

  • Knowledge of customer corporate tools and data repositories.

Responsibilities

  • Collaborate closely with customers to design and implement AI-enabled solutions that support data-driven decision-making, operational effectiveness, and mission success.
  • Integrate advanced analytics, Agentic AI workflows, cloud technologies, and knowledge management capabilities to transform complex data into actionable intelligence.
  • Align technical architectures and system capabilities with evolving mission requirements while ensuring scalability, reliability, and user adoption.
  • Analyze complex problems and develop scalable AI-enabled system architectures that align with mission and business objectives.
  • Translate conceptual designs into detailed technical specifications while applying systems engineering principles to evaluate system-wide impacts, dependencies, and performance.
  • Design and implement Agentic AI workflow automations for data pipelines, research, analysis, and reporting.
  • Develop intuitive natural language interfaces to knowledge graphs.
  • Utilize AWS cloud services, data migration to AWS-hosted databases, advanced analytics, statistical analysis, and the visualization of data science insights to support informed decision-making.

Benefits

  • 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
  • Health and Wellness programs
  • Income Protection
  • Paid Leave
  • Retirement
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