Business Systems Engineer, Operations
PayNearMe
CloudSOAP
Senior AI Systems Architect
Leidos
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $148,850 - $269,075 per year
Job Level
Senior
Tech Stack
AWSAzureCloudCyber SecurityGoogle Cloud Platform
About the role
- Design and oversee the development of enterprise-grade, secure, and scalable AI platforms capable of supporting mission-critical operations
- Lead the technical strategy for AI infrastructure, including cloud services, containerization, and MLOps pipelines, to support enterprise-wide AI initiatives
- Establish and enforce architectural standards, best practices, and governance for AI/ML systems
- Collaborate with data scientists, engineers, and program managers to ensure architectural designs meet project requirements and strategic objectives
- Ensure mission assurance and full compliance with AI lifecycle management frameworks
- Evaluate and recommend new technologies, tools, and frameworks to enhance our AI capabilities
- Provide expert guidance and mentorship to development teams on architectural patterns
Requirements
- Master's degree in Computer Science, Engineering, or a related technical field
- 15+ years of professional experience; additional years of experience may be substituted in lieu of a degree
- Demonstrated experience architecting and deploying large-scale AI/ML systems on cloud platforms (e.g., AWS, Azure, GCP)
- Expert-level understanding of MLOps principles, CI/CD pipelines, and infrastructure-as-code (IaC)
- Substantial understanding of cybersecurity principles as they apply to AI systems
- Must be a U.S. Citizen and able to obtain and maintain a security clearance in the future
Benefits
- competitive compensation
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI platformsMLOpsCI/CD pipelinesinfrastructure-as-codelarge-scale AI/ML systemscloud platformscybersecurity principlesarchitectural standardsbest practicesgovernance
Soft skills
leadershipcollaborationmentorshipstrategic thinkingcommunication
