AI System Engineer Level 4

• Cloud Architecture/ Cloud Engineer/ Platform Engineering (especially in AWS)
• AI/ML system design and implementation
• High-level understanding of the AI lifecycle (development, training, inference, monitoring)
• Experience with ML pipeline development, model deployment, and DevOps/MLOps
• Experience with Amazon SageMaker is a plus
• Excellent communication and collaboration skills with a variety of stakeholder groups, ability to proactively engage with these groups to understand requirements and inform system architecture decisions
• System security and networking (particularly the implementation of system security on classified systems)
• Data engineering and data lifecycle management

Required Skills

A High School Diploma or GED plus fourteen (14) years of general system engineering experience.

OR

A Bachelor's degree in a Qualified Engineering Field or a related discipline from an accredited college or university plus ten (10) years of systems engineering experience.

OR

A Master's degree in a Qualified Engineering Field or a related discipline from an accredited college or university plus eight (8) years of systems engineering experience.

OR

A PhD in a Qualified Engineering Field or a related discipline from an accredited college or university plus eight (8) years of systems engineering experience

Desired Skills

• Cloud Architecture/ Cloud Engineer/ Platform Engineering (especially in AWS)
• AI/ML system design and implementation
• High-level understanding of the AI lifecycle (development, training, inference, monitoring)
• Experience with ML pipeline development, model deployment, and DevOps/MLOps
• Experience with Amazon SageMaker is a plus
• Excellent communication and collaboration skills with a variety of stakeholder groups, ability to proactively engage with these groups to understand requirements and inform system architecture decisions
• System security and networking (particularly the implementation of system security on classified systems)
• Data engineering and data lifecycle management

We offer competitive compensation and benefits to include:

• Medical/Dental/Vision

• 20 Days of Paid Time Off (PTO) + Federal Holidays

• 401k with Employer Match

• Profit Sharing

• Tuition Reimbursement

• Flex Spending Account

• Life Insurance, Long & Short-Term Disability

• Pet Adoption Reimbursement

• Annual Physical Fitness/Wellness Allowance

• Supplemental Insurance

• Employee Referral Program

• Performance Incentives

• On-The-Spot Rewards

Other company-sponsored perks include after-hours events, logo apparel, holiday parties, and more!

Vetegrity is an employee-focused small business, founded in 2008. We are passionate about supporting the missions of the Intelligence Community and the Department of Defense. As a Service-Disabled, Veteran-Owned Small Business, we pride ourselves on our commitment to excellence and integrity in everything we do.