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Application Engineer IV - Kovr.AI

Fort Meade, MD, US • Posted 4 days ago • Updated 1 minute ago

Full Time

On-site

USD $190,000.00 - 247,000.00 per year

Fitment

Dice Job Match Score™

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Job Details

Skills

Artificial Intelligence
System Security
Evaluation
Authorization
Continuous Monitoring
Network
Project Lifecycle Management
Large Language Models (LLMs)
Business Process
Workflow
Software Engineering
DevOps
Management
Orchestration
Collaboration
Process Improvement
Emerging Technologies
System Requirements
Research
Operational Efficiency
Kubernetes
Amazon ECS
Generative Artificial Intelligence (AI)
Risk Management Framework
RMF

Summary

Job Description

SALARY RANGE $190,000 - $247,000/year.

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.

Required Skills

SKILLS

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)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91130336
Position Id: 8b7a763bea571f40236eea72004959ff
Posted 4 days ago

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