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Principal AI/Cloud Engineer

  • Cherry Point, AB, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
Posted

Original 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

Master's degree in a STEM-related field and 6 years of relevant experience; or

  • Active, in-scope Secret security clearance or the ability to obtain and maintain a Secret security clearance required.
  • Education and Experience
    • Bachelor's degree in a STEM-related field and 8 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 nLogic

At nLogic, 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

nLogic 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.

How To Apply

Qualified candidates should submit their application through our online portal to be considered for this opportunity.

Equal Opportunity Employer

nLogic 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.
More about this job

Responsibilities

Lead the design, development, testing, deployment, and sustainment of production-ready AI and machine learning solutions, while architecting cloud environments for AI and enterprise applications. Provide technical leadership for cloud modernization, migration, automation, security compliance, performance monitoring, and engineering team support.

Requirements

Requires a STEM-related degree and relevant experience, with qualifying pathways ranging from an associate degree and 7 years of experience to a PhD and 4 years; a Secret clearance is required or must be obtainable and maintainable. Candidates need experience delivering AI/ML solutions, software engineering and data science, Python and SQL, AI frameworks, cloud architecture and infrastructure, cloud migration, automation, security compliance, and performance monitoring.

Skills

  • Artificial Intelligence
  • Machine Learning
  • Cloud Architecture
  • Python
  • SQL
  • TensorFlow
  • PyTorch
  • AWS
  • Azure
  • Google Cloud Platform
  • Cloud Migration
  • Infrastructure Automation
  • Cloud Infrastructure
  • Security Compliance
  • Performance Monitoring
  • Technical Leadership

Benefits

  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Paid Time Off
  • 401(k) Retirement Plan
  • Employee Stock Ownership Plan
  • Professional Development Support

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Engineering
  • Software
  • Data & Analytics
  • Government & Public Sector

Keywords

  • Artificial Intelligence
  • Machine Learning
  • Cloud Architecture
  • Cloud Engineering
  • Python
  • SQL
  • TensorFlow
  • PyTorch
  • AWS
  • Azure
  • Google Cloud Platform
  • Cloud Migration
  • Cloud Modernization
  • Infrastructure Automation
  • Data Science
  • Software Engineering
  • Virtualized Infrastructure
  • Security Compliance
  • Performance Monitoring
  • DoD Systems
  • Secret Security Clearance
  • Mission-Critical Operations
  • Enterprise Applications
  • Systems Modernization
  • Cybersecurity Certifications

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