Application Engineer IV - Kovr.AI with Security Clearance

Duties

• 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.

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)