OverviewWe are seeking an experienced Senior AI/ML Systems Engineer to design, integrate, deploy, and maintain enterprise-grade AI-enabled systems supporting cyber operations. This role combines systems engineering, software development, cybersecurity, cloud infrastructure, and AI/LLM integration to modernize existing architectures and deliver scalable, secure technical solutions.
What will you do?- Design, build, deploy, and maintain enterprise-grade software applications and systems.
- Integrate modern AI and Large Language Model (LLM) capabilities into existing legacy architectures, APIs, and enterprise systems.
- Design scalable system architectures capable of supporting AI/ML model inference, training, and distributed processing.
- Develop and maintain containerized applications using Docker and Kubernetes.
- Design and support Kubernetes clusters and other orchestration environments for highly available and scalable workloads.
- Support technical solutions for offensive and/or defensive cyber operations.
- Implement secure system architectures incorporating Zero Trust principles, secure API gateways, and data governance controls.
- Design and support cloud infrastructure within AWS, Azure, and/or Google Cloud Platform (GCP).
- Optimize cloud infrastructure for AI/ML workloads utilizing GPU instances, virtual CPUs, high-speed networking, and distributed computing resources.
- Design and support data pipelines used for AI/ML model training and inference.
- Apply network engineering principles, low-latency communication protocols, and system security practices to complex technical environments.
- Collaborate with software engineers, cybersecurity professionals, cloud engineers, data scientists, and other technical teams.
- Translate complex customer and mission requirements into scalable system architectures and technical designs.
- Provide technical guidance and mentorship to junior engineers.
- Support automation, software delivery, and deployment through CI/CD and MLOps/LLMOps practices.
Do you have what it takes?- Active TS/SCI with Polygraph
- BS degree and 11-15 years of relevant experience
- 7+ years of experience in software development or systems engineering, including building, deploying, and maintaining enterprise-grade applications.
- 5+ years of experience supporting offensive and/or defensive cyber operations.
- Demonstrated experience integrating AI and Large Language Models (LLMs) into existing applications, APIs, legacy architectures, or enterprise systems.
- Hands-on experience with containerization and orchestration technologies, including:
- Docker
- Kubernetes
- Cluster management
- Knowledge of Zero Trust architecture, secure API gateways, and data governance requirements associated with AI/LLM deployments.
- Knowledge of cloud infrastructure platforms such as AWS, Azure, or GCP.
- Understanding of cloud infrastructure supporting AI/ML and distributed workloads, including GPU instances, vCPUs, and high-speed networking.
- Knowledge of network engineering fundamentals and low-latency protocols.
- Understanding of system and application security principles.
- Knowledge of data pipeline architectures supporting AI/ML model inference and training.
- Demonstrated ability to translate complex customer requirements into scalable technical solutions and system designs.
- Strong collaboration and communication skills with the ability to work across multidisciplinary technical teams.
- Experience providing technical guidance or mentorship to junior engineers.
