Senior AI Integration Engineer with Security Clearance

Job Description

Company: Leidos

Location: Alexandria, US

R-00177903 Description This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale.

Leidos Digital

Modernization sector is seeking an experienced Senior AI Integration Engineer to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations. In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement—helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success.

This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes.

Primary Responsibilities

Implement AI components within existing systems and workflows to support operational use.

Design and manage interfaces and APIs that connect AI models to enterprise platforms.

Ensure reliable production performance by monitoring data flows, validating system interactions, and resolving integration issues.

Collaborate with software, data, and platform engineering teams to maintain stable and efficient AI deployment across the enterprise.

Prepare, maintain, and execute a System Engineering Plan (SEP) for managing all systems architecture and system engineering related aspects of the program.

Conduct systems engineering activities required to specify, build, and maintain system engineering designs for the System.

Design, prepare, and document systems engineering and cybersecurity artifacts for the System.

Establish and maintain an existing System Requirements management environment and associated system requirements management process for the System.

Support the Government in recommending and conducting enterprise system architecture activities to fully define and scope the System.

Define, document, maintain, and promulgate APIs and technical standards for using and interoperating within and outside the System.

Design, engineer, integrate, and continuously improve the underlying infrastructure of the System.

Identify, prepare, track, secure, and integrate government, commercial, and open-source tools and services into the System.

Design, architect, engineer, and continuously improve the user interface (UI) and user experience (UX) components of the Platform.

Design, build, and maintain services and products to effectively make production-ready AI/ML models accessible for customer use.

Design, architect, engineer, and continuously improve all aspects of cybersecurity elements of the System.

Perform site reliability engineering to build and maintain a reliable, scalable, and efficient System.

Basic Qualifications

Active Top Secret (TS) clearance with SCI eligibility.

Bachelor’s degree in Computer Science, Engineering, Information Systems, Artificial Intelligence, or related technical discipline and 8–12 years of relevant experience OR Master’s degree in a related field and 6–10 years of relevant experience.

At least one of the following foundational qualification pathways consistent with DoD 8140 requirements:

Current DoD 8570/8140 baseline certification appropriate for Intermediate/System Administrator roles (e.g., Cloud+, GICSP, GSEC, or SSCP), Offerings listed in the DoD 8140 Training Repository, Demonstrated equivalent training and experience qualifying under DoD 8140 foundational qualification alternatives.

Experience with designing and managing interfaces and APIs for AI models.

Proficiency in monitoring data flows, validating system interactions, and resolving integration issues.

Experience with cloud environments, network, data storage, logging, and auditing functions.

Knowledge of cybersecurity policies and requirements, including NIST security controls and Zero Trust compliance.

Experience with DevSecOps/Factory functions and mission spaces.

Ability to design and maintain system engineering and cybersecurity artifacts.

Experience developing Agentic AI solutions, including autonomous planning–execution–reflection loops, multi-agent collaboration and coordination,

Source: BeBee