AI Developer/Engineer

BT-464 – AI Developer/Engineer

Skill Level: Subject Matter Expert

Location: Chantilly, VA

**Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.**

Scope

• Candidate will provide cyber and SIGINT exploitation of large-scale networks and the data riding on them to uncover unknown and emerging adversary capabilities leveraging expertise in exploitation.
• Candidate will apply leading-edge principles, theories, and concepts; contribute to the development of new principles and concepts.
• Candidate will work on unusually complex problems and provide highly innovative solutions.
• Candidate will operate with substantial latitude for unreviewed actions or decisions; will mentor or supervise employees in technical competencies

Required skills:

• 7+ years' experience in software development or systems engineering, building deploying, and maintaining enterprise-grade applications
• 5+ years' experience supporting offensive or defensive cyber operations
• Experience integrating AI and LLMs into existing legacy architectures, APIs, and enterprise systems
• Experience with containerization, orchestration, and cluster management platforms, including Docker and Kubernetes
• Knowledge of zero-trust architecture, secure API gateways, and data governance controls for AI/LLM deployments
• Knowledge of cloud infrastructure services, such as AWS, Azure, or GCP, optimized for AI/ML and distirbuted processing such as GPU instances, vCPUs, and high-speed networking fabrics
• Knowledge of network engineering, fundamentals, low-latency protocols, system security, and data pipeline architectures supporting model inference and training

Ability to collaborate with cross-functional technical teams, translate complex client requirements into scalable system designs, and mentor junior engineers

Desired Skills:

• Experience with MLOps/LLMOps tools and CI/CD pipelines such as MLflow, Kubeflow, or GitLab CI
• Experience working with high-performance networking, software, and hardware
• Masters Degree in Computer Science, Artificial Intelligence or Systems Engineering
• Cloud Architecture or DevOps certifications