Stateside Spec Engineering jobs in the United States

Leidos

AI Native Software Developer

Reston, VA · On-site · Junior

Discipline
Software
Industry
Defense

Spec sheet

Automatically summarized from the employer’s posting. Check the original description below for full requirements.

Leidos seeks a Jr level AI Software Developer in Reston, VA to design microservices for a hybrid-cloud, AI-driven border and aviation security platform. The role requires a BS/BA with 5 years' related experience or MS with 2 years, U.S. citizenship and ability to obtain Public Trust, and experience with microservices and modern languages.

$87,100–$157,450 / year · Day shift · 5+ years · BS/BA or MS in related field

Required

  • microservices
  • Java, Python, or C++
  • REST/gRPC APIs
  • Kafka or event-driven architecture
  • AI/ML-enabled systems
  • distributed systems
  • Agile/SAFe

Preferred

  • AWS/Azure/GCP
  • Docker/Kubernetes
  • CI/CD/DevSecOps
  • MLOps
  • LLM/RAG
  • OpenAPI/AsyncAPI
  • Terraform
  • privacy-by-design

Benefits

  • medical
  • PTO

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Employer description

Leidos is seeking a Jr level, 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 outcomes.

 

In this position, you will design and implement software solutions independently while working closely with systems engineering, product delivery, and DevSecOps 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 modelIntegrate real-time data feeds (ATC, manifests, border processing, detection/security, kiosks, e-Gates) and contribute to the AI Detection Algorithm MarketplaceBuild and operate adapters/connectors that normalize diverse source schemas (e.g., FIXM/AIXM, AODB, airline feeds) to a canonical event modelDeliver features like dynamic staffing allocation, lane management, passenger routing, and predictive maintenanceDevelop calibrated predictive models (queue/wait, connection-miss, baggage, crowding, disruption propagation) and integrate LLM/RAG components for explanation and recommendation — keeping generative AI off the numeric prediction pathWork in an Agile/SAFe team with systems engineering, DevSecOps, and QAImplement privacy-by-design and zero-trust controls (tokenization, policy-scoped access, data minimization, retention/expiry)Write clean, tested code and use AI-assisted tools to speed development and improve qualitySupport troubleshooting, performance tuning, and continuous improvement to reduce wait times and increase throughputImplement modern automated testing strategies, including unit, integration, contract, end-to-end, and deterministic replay/backtesting  

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 degreeAbility to obtain/maintain Public Trust; U.S. citizenship is requiredHands-on experience with microservices and at least one modern language (Java, Python, C++)Experience with AI-assisted engineering tools and/or AI/ML-enabled systemsExperience with event-driven / streaming architectures (e.g., Kafka, Pub/Sub) and stream or batch data processingExperience building and consuming APIs (REST/gRPC, OpenAPI/AsyncAPI) in distributed systemsExperience enhancing and maintaining existing software systems while preserving operational stabilityAbility to navigate large, complex distributed systems and translate them into higher-level architectureAgile experience; understanding of APIs and distributed systems 

Preferred Qualifications:

1 year software development experience supporting a related industry border/aviation customer (TSA, CBP/ICE, eu-LISA, Frontex, airport operators, airlines)SAFe, Kafka/event streaming, cloud (AWS/Azure/GCP), Docker/Kubernetes, CI/CD, and DevSecOps experienceStream processing (Apache Beam/Dataflow, Flink, or Spark) with windowing and out-of-order/late-data handlingMachine learning for tabular/time-series data (gradient-boosted trees, quantile/survival models) and model calibration/evaluation (Brier, pinball loss, AUC-PR)MLOps: feature stores, model serving, model registry, and drift/skew monitoring (Vertex AI, Kubeflow, MLflow, or Feast)LLM/RAG application development: embeddings, vector search (e.g., pgvector/FAISS/Qdrant/Vertex Vector Search), and model-gateway designInfrastructure as Code (Terraform) and GCP-native services (GKE, Cloud Run, BigQuery, Firestore/Redis)Zero-trust networking and privacy engineering (VPC/VPC-SC, mTLS, IAM, tokenization, consent/retention); familiarity with NIST 800-53, CMMC, or FedRAMP/ATOObservability with OpenTelemetry (Cloud Logging/Monitoring/Trace or Grafana/Prometheus)TypeScript/React for operator/traveler/executive experiences and real-time data visualizationAviation/transport data standards (FAA SWIM, FIXM/AIXM, METAR/TAF) and simulation/queueing conceptsIf 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:October 21, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $87,100.00 - $157,450.00

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.

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