AI Native Software Developer

Leidos is seeking an AI Software Developer to join the Airports, Borders, and Security (AB&S) Business Area within the Homeland Sector, building the Travel & Customs Orchestration Platform — a hybrid-cloud, AI-driven system that senses data across the traveler journey (ATC data, manifests, border processing, detection/security, kiosks, e-Gates, staffing, and capacity), predicts demand, orchestrates resources, and measures  this position, you will design and implement software solutions independently while working closely with systems engineering, product delivery, and Dev Sec Ops  teams.

The primary focus is on developing microservices-based applications that power the platform's Sense Predict Orchestrate Measure operating model, including the AI Detection Algorithm Marketplace used to evaluate and deploy third-party and in-house detection algorithms (prohibited items, explosives, weapons, liquids, novel threats, behavioral indicators, and future algorithm types).

Experience with AI-enabled or data-driven systems is advantageous. This position supports government programs and requires the ability to obtain and maintain a favorable Public Trust investigation.

This role focuses on building and modernizing real-time, mission-critical systems that directly support border and aviation security operations — including dynamic staffing allocation, checkpoint and lane management, passenger routing, exception management, passenger communications, cross-functional alerting, performance reporting, and predictive maintenance — while applying AI tools to accelerate development, improve quality, and enhance system reliability. The platform serves stakeholders across the traveler journey, including TSA, CBP/ICE, airport operators, eu-LISA, airlines, Frontex, ground handlers, and passengers themselves.
** This is a Hybrid position; the candidate will be in the office (Reston, VA) 3 days a week.

What You’ll Do:

Design and build microservices supporting the platform’s Sense Predict Orchestrate Measure model

Integrate real-time data feeds (ATC, manifests, border processing, detection/security, kiosks, e-Gates) and contribute to the AI Detection Algorithm Marketplace Deliver features like dynamic staffing allocation, lane management, passenger routing, and predictive maintenance

Work in an Agile/SAFe team with systems engineering, Dev Sec Ops , and QAWrite clean, tested code and use AI-assisted tools to speed development and improve quality

Support troubleshooting, performance tuning, and continuous improvement to reduce wait times and increase throughput

Implement modern automated testing strategies, including unit, integration, contract, and end-to-end testing

Minimum Qualifications:

BS/BA degree and 5 years related experience OR Master’s with 2 years of related experience; 4 years of related experience in lieu of degree

Ability to obtain/maintain Public Trust; U.S. citizenship is required1 year software development experience supporting a related industry border/aviation customer (TSA, CBP/ICE, eu-LISA, Frontex, airport operators, airlines)
Hands-on experience with microservices and at least one modern language (Java, Python, C++)Experience with AI-assisted engineering tools and/or AI/ML-enabled systems

Experience enhancing and maintaining existing software systems while preserving operational stability

Ability to navigate large, complex distributed systems and translate them into higher-level architecture

Agile experience; understanding of APIs and distributed systems

Preferred Qualifications:

SAFe, Kafka/event streaming, cloud (AWS/Azure/GCP), Docker/Kubernetes, CI/CD, and Dev Sec Ops  experience

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