Senior Systems Engineer

Overview

We 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.