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Design, build, and deploy production-grade AI/ML capabilities (NLP/LLMs, generative AI, computer vision) across the ML lifecycle. Work on EO/IR signal-processing, GPU-optimized pipelines, streaming/NRT data, MLOps, and microservice-based deployments in classified environments with mission teams.

As a Chief Engineer, you will design and architect technology solutions for GEOINT mission systems, guiding teams and mentoring future architects while overseeing complex cloud applications and systems integration.

Lead architecture and integration for edge networks, focusing on secure and resilient design for cloud and tactical applications. Engage in real-time intelligence systems and collaborate across functions to create networking solutions.

Administer and ingest data center and cabling information into a DCIM (Nlyte Neo), build scripts, reports, and dashboards, produce analytics for power/space/cooling utilization, tune data workflows, document designs and procedures, support software releases, and enable enterprise data center management to reduce outage and deployment risk.

Design and implement AI solutions to address clients' needs while adhering to ethical standards; requires experience in AI tech and cloud environments.

Lead architecture and implementation of cloud-native, data-driven full-stack microservices. Develop distributed back-end services (Python/Java/Spring), govern AWS/Kubernetes deployments, drive DevSecOps and CI/CD, integrate large-scale data/search pipelines (Kafka, NiFi, Elasticsearch), mentor engineers, set technical direction, and evaluate emerging AI/LLM technologies for mission application in classified environments.

Implement, operate, and lead deployment of ForeScout and other cyber defense tools across large networks. Perform systems administration, network architecture and engineering, vulnerability and risk assessments, correlate security events with big-data analytics, and develop countermeasures. Mentor teams and communicate security findings to diverse audiences to protect sensitive data and systems.

The role involves using data science skills to extract insights from data, develop algorithms, and create analytics solutions for clients across various sectors, particularly in fraud detection, cancer research, and national intelligence.

Implement and maintain data pipelines and platforms: data acquisition, preparation, ETL, and database architecture. Build, containerize, and deploy automated data and ML pipelines in cloud environments (AWS). Work in Agile teams with developers and data consumers, apply MLOps concepts, and support real-time/streaming data solutions. Top Secret clearance and a bachelor’s degree required.

Design, deploy, and operate ForeScout CounterACT and other cybersecurity controls across large, multi-domain networks. Perform systems administration (Windows/Linux), network engineering (switches, VLANs, firewalls), vulnerability and risk assessments, event correlation/analytics, and support mission-critical security for government customers under TS/SCI clearance requirements.