AI System Engineer Level 4 with Security Clearance

Job Description Vetegrity is Hiring! Applies systems engineering principles throughout the systems life cycle phases: Concept, Development, Production, Utilization, Support, and Retirement. Interacts with the Government regarding Systems Engineering technical considerations and for associated problems, issues or conflicts. Communicates with other program personnel, government overseers, and senior executives. Responsibility for the technical integrity, quality, and completeness of work performed and deliverables associated with one or more of the 25 process areas defined by ISO/IEC15288 . 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

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 Additional Details Company Overview: 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. 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 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.