Principal AI/Cloud Engineer

nLogic; Cherry Point (VA); On-site; AUD 259,000 - 346,000; Full time

Job summary

nLogic seeks a Principal AI/Cloud Engineer to lead AI/ML, cloud architecture, automation, and systems modernization in a defense and technology environment at Cherry Point.

In this role you will provide technical leadership for design, deployment, and sustainment of scalable AI and cloud solutions supporting mission-critical operations and enterprise modernization, while mentoring teams and ensuring security compliance.

Qualifications

• Active security clearance or ability to obtain/maintain Secret clearance.
• Experience designing, building, testing and deploying AI/ML solutions.
• Experience integrating software engineering and data science.
• Experience with Python, SQL and related tools.
• Experience deploying cloud architectures on AWS/Azure/GCP or equivalent.
• Experience with cloud migration and automation.
• Experience supporting security compliance initiatives.

Responsibilities

• Lead design, development, testing, and deployment of AI/ML solutions.
• Architect and implement cloud-based environments for AI and enterprise apps.
• Provide technical leadership for AI and cloud engineering initiatives.
• Develop production-ready AI systems and lead cloud deployment/modernization.
• Support migration of on-prem systems to cloud environments.
• Design and implement automation to improve efficiency and scalability.
• Support security compliance and monitor performance of systems.
• Provide guidance and troubleshooting across engineering teams.

Skills

Secret clearance

AI/ML design

Python

SQL

TensorFlow

PyTorch

Cloud architecture

Cloud migration

Security compliance

Education

Bachelor's degree in STEM

Master's degree in STEM

PhD in STEM

Associate degree + 7 years experience

High school diploma + 12 years experience

Tools

Python

SQL

TensorFlow

PyTorch

Job description

nLogic is seeking a Principal AI/Cloud Engineer to support anticipated work on a mission-focused effort in the Cherry Point area. This role will play a key part in leading artificial intelligence, machine learning, cloud architecture, automation, and systems modernization initiatives within a collaborative defense and technology environment.

In this role, you will provide technical leadership for AI and cloud engineering efforts, guiding the design, deployment, and sustainment of scalable solutions that support mission-critical operations and enterprise modernization objectives.

Responsibilities

• Lead the design, development, testing, and deployment of AI and machine learning solutions
• Architect and implement cloud-based environments supporting AI and enterprise applications
• Provide technical leadership for AI and cloud engineering initiatives
• Develop production-ready artificial intelligence systems. Lead cloud infrastructure deployment and modernization activities
• Support migration of on-premises systems to cloud environments
• Design and implement automation solutions that improve operational efficiency and scalability
• Support compliance with security requirements and industry best practices
• Monitor AI model, application, and cloud environment performance
• Provide technical guidance and troubleshooting support across engineering teams.

Required Qualifications

• Active, in-scope Secret security clearance or the ability to obtain and maintain a Secret security clearance required.
• Bachelor’s degree in a STEM-related field and 8 years of relevant experience; or
• Master’s degree in a STEM-related field and 6 years of relevant experience; or
• PhD in a STEM-related field and 4 years of relevant experience; or
• Associate degree and 7 years of relevant experience; or
• High school diploma and 12 years of relevant experience
• Experience designing, building, testing, and deploying AI and machine learning solutions
• Experience integrating software engineering and data science principles
• Experience with Python, SQL, and associated development tools
• Experience with TensorFlow, PyTorch, or similar AI frameworks
• Experience designing and deploying cloud architectures within AWS, Azure, GCP, or equivalent platforms
• Experience maintaining cloud and virtualized infrastructure environments
• Experience supporting cloud migration efforts
• Experience automating infrastructure, cloud, data, and AI processes
• Experience supporting security compliance initiatives
• Experience monitoring system, application, AI model, and cloud performance

Preferred Qualifications

• Experience leading enterprise AI and cloud initiatives
• Experience supporting large-scale cloud modernization efforts
• Relevant cloud, AI, or cybersecurity certifications
• Experience supporting mission-critical DoD systems
• Experience providing technical leadership across multidisciplinary teams

Position Details

• Work Model: Full-Time, Onsite in Cherry Point, NC
• Travel: Occasional travel may be required in support of customer requirements
• Work Hours: Standard work hours
• U.S. Citizenship is required
• Active U.S. Secret security clearance required (or ability to obtain and maintain)

Why_n_Logic

At _n_Logic, we support mission-focused defense and space efforts that have real-world impact. Our teams work collaboratively alongside government and industry partners to deliver high-quality, mission-focused solutions.

As a 100% employee-owned company (ESOP), our employees directly share in the success of the organization, creating a culture of accountability, ownership, and long-term investment in our work.

We offer a stable environment with opportunities to develop new skills, take on meaningful responsibilities, and contribute to efforts that support national security and advanced technologies.

Summary of Benefits

_n_Logic offers a comprehensive benefits package including medical, dental, and vision insurance; paid time off; 401(k) retirement plan; Employee Stock Ownership Plan (ESOP); and professional development support.

Equal Opportunity Employer

_n_Logic is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.