Key skills
AWSAzureCloudGoogle Cloud PlatformPythonTypeScriptAIMachine LearningMLLarge Language ModelsMLOpsAmazon Web ServicesGCPGoogle CloudLeadershipCommunication
About this role
Role Overview
- Integrate and deploy AI/ML models, especially Large Language Models (LLMs) and advanced architecture
- Build, harden, and operate secure AI pipelines across cloud, tactical, and embedded platforms
- Transition prototypes into reliable operational capabilities
- Provide AI development best practices, training, and organizational enablement
- Collaborate across engineering, research, leadership, and customers
- Evaluate new technologies for secure AI including lifecycle management and compliance
- Support proposals, business development, and technical communication
Requirements
- Typically requires STEM degree with minimum 12 years’ relevant experience
- Experience deploying AI systems
- Experience working with Large Language Models and advanced machine learning architectures
- Experience implementing secure MLOps and DevSecOps pipelines
- Hands-on experience across Amazon Web Services (AWS), Azure, Google Cloud Platform (GCP), and embedded environments
- Experience with Python and modern machine learning frameworks
- Experience leading workstreams
- Ability to obtain and maintain a U.S. Government issued TS/SCI security clearance after day 1
- U.S. Citizenship is required as only US Citizens can acquire clearance
Tech Stack
- AWS
- Azure
- Cloud
- Google Cloud Platform
- Python
- TypeScript
Benefits
- medical
- dental
- vision
- life insurance
- short-term disability
- long-term disability
- 401(k) match
- flexible spending accounts
- flexible work schedules
- employee assistance program
- Employee Scholar Program
- parental leave
- paid time off
- holidays