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# Application Engineer IV - Kovr.AI

- **Company:** Black Eagle Defense
- **Location:** Fort Meade, MD, United States
- **Salary:** $190,000.0 - $247,000.0
- **Contract:** Permanent contract
- **Skills:** Software Requirements Analysis, Large Language Models, Generative AI, Kubernetes
- **Published:** July 19, 2026
- **Apply:** https://www.clearancejobs.com/jobs/8962205/application-engineer-iv-kovrai

## About the Role

QUALIFICATIONS Ph.D. plus Four (4) years of experience, a Master's degree plus Six (6) years of experience, a Bachelor's degree plus Eight (8) years of experience, or an Associate's degree plus Ten (10) years of professional experience is acceptable. Twelve (12) years of relevant experience are acceptable if the candidate does not possess a degree.

Additional Experience Requirements:

 * Kubernetes
 * Amazon ECS (Elastic Container Service)
 * Generative AI (GenAI)
 * Risk Management Framework (RMF)

## Description

DUTIES As a successful candidate for the Application Engineer IV role, you will support the Secure the Enterprise initiative by developing capabilities that transition the current manual system security evaluation and authorization process to a modern framework emphasizing automation, streamlined processes and approvals, continuous monitoring and assessment, and network data gathering throughout the entire project lifecycle., * Provide application engineering support to evaluate the utility and effectiveness of large language models (LLMs) within the ATO process

 * Assess, integrate, and optimize LLM capabilities to enhance existing business processes and workflows
 * Support the development, deployment, and sustainment of application engineering solutions leveraging modern DevOps practices
 * Implement and manage containerized applications and container orchestration platforms
 * Collaborate with stakeholders to identify opportunities for automation and process improvement utilizing emerging technologies
 * Analyze system requirements and recommend technical solutions that incorporate LLM technologies and modern application architectures
 * Develop expertise across complementary technical disciplines to support evolving mission requirements
 * Research, evaluate, and apply new technologies to improve operational efficiency and system effectiveness


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