Lead AI/ML Engineer on army enterprise team training and deploying models on cutting - edge AI technologies. Collaborate across teams to solve real - world challenges in the threat landscape.
About the role
- AI Engineer building agentic systems and applying AI models for national security initiatives. Collaborating with teams to solve client challenges with cutting-edge AI solutions.
Responsibilities
- Build agentic systems
- Fine tune models
- Build RL environments
- Apply best-fit AI models and technologies
- Collaborate with product teams, data engineers, and government stakeholders
- Deliver world-class solutions to build agentic systems
- Help clients navigate the landscape of AI algorithms, tools, and frameworks
- Solve real-world challenges and define AI strategy for the intelligence community
Requirements
- Experience working with LLMs, generative AI systems, or agentic frameworks
- Knowledge of AI frameworks, supporting tools, and design patterns, such as LangGraph, MCP, or A2A
- Ability to map AI solutions onto customer problems
- TS/SCI clearance with a polygraph
- Bachelor's degree in a Technology field such as Computer Science or Statistics
- Experience training generative AI systems
- Experience communicating technical solutions to non-technical stakeholders
- Experience deploying generative AI systems into production environments
- Experience working in the Intelligence Community
- Experience with a deep learning framework such as PyTorch or Keras
- Knowledge of Python
- Knowledge of security requirements for production code in government systems
- Ability to translate general user requirements into actionable tasks
- Master's degree in a Technology field preferred; Doctorate degree in a Technology field a plus
- Cloud Certifications such as AWS Certified AI Practitioner Certification
Benefits
- health, life, disability, financial, and retirement benefits
- paid leave
- professional development
- tuition assistance
- work-life programs
- dependent care
- recognition awards program
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Machine Learning Scientist III at Expedia Group developing ML algorithms to enhance customer experience. Tackling complex problems in online travel for improved post - booking recommendations and service.
Senior Machine Learning Engineer architecting next - gen Agentic AI systems for enterprise workflows at Demandbase. Focused on multi - agent orchestration and LLM - powered reasoning systems.
AI/ML Intern supporting the design and deployment of AI and ML projects. Collaborating with senior leaders and engineers at Frontier Technology Inc.
Distinguished AI/ML Engineer leading technical development of agentic AI systems for Walmart Global Tech. Ensuring system reliability and operational excellence with advanced AI solutions.
Machine Learning Engineer at Red Hat focused on AI model optimization and collaboration with research teams. Developing software for LLM training and deployment in enterprise settings.
Machine Learning Engineer developing AI - driven fitness solutions at BHOUT. Analyzing performance data and building predictive models to coach users effectively.
Machine Learning Engineer position at RATP focuses on developing and optimizing Generative AI solutions. Engage with data science and machine learning within the company’s Data Factory.
MLOps Engineer creating robust and secure ML models for the IMG. Collaborating with data teams to operationalize AI solutions.
Senior Manager leading the development of AI agents for HR and Finance at Workday. Building and mentoring a high - performing engineering team to deliver scalable AI solutions.