As an AI DevOps Specialist in the Department of National Defence, you will bridge the gap between artificial intelligence development and operational deployment. You will be responsible for designing, implementing, and maintaining the infrastructure and processes that enable AI systems to run reliably in production environments across the department. This role combines expertise in DevOps practices with knowledge of AI/machine learning systems, ensuring that AI solutions are scalable, secure, and operationally sound.
Your day-to-day responsibilities will include automating deployment pipelines for AI models, monitoring system performance, managing cloud and on-premises infrastructure, and collaborating with AI engineers and data scientists to move models from development to live operations. You will also ensure that AI systems meet security requirements, comply with Government of Canada standards, and maintain the high availability needed for defence operations. You may work on diverse projects ranging from predictive analytics to autonomous systems, contributing to the technological advancement of Canada's defence capabilities.
You will work within cross-functional teams in a modern, technology-focused environment. The position offers opportunities to work with cutting-edge AI technologies, cloud platforms, and containerization tools while maintaining the security and reliability standards required in a defence context. You may work at a Canadian Armed Forces base, in a National Defence headquarters location, or in a remote capacity depending on the specific position and operational requirements.
Key Responsibilities
Contribute to artificial intelligence (ai) engineering & deployment projects and initiatives, Develop, test, and deploy AI/ML models and solutions, Analyze data to support evidence-based decision-making, Document technical approaches and ensure responsible AI practices
Required Skills
Python/R programming, Machine learning frameworks, Data analysis, Statistical modelling, Critical thinking, Technical proficiency, Attention to detail, Collaboration, Continuous learning
Typical Education
Post-secondary education or equivalent experience relevant to the position
Training
To enter this career, you typically need a bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related discipline. Some positions may accept equivalent professional experience combined with relevant certifications.
Essential technical knowledge includes: DevOps practices and tools (CI/CD pipelines, containerization with Docker and Kubernetes), cloud platform experience (AWS, Azure, or Google Cloud), infrastructure-as-code tools, scripting languages (Python, Bash), and version control systems. Understanding of machine learning concepts, model deployment, and AI system requirements is important, though you do not need to be an AI researcher.
Valuable certifications include: cloud provider certifications (AWS Certified Solutions Architect, Azure Administrator, Google Cloud Professional), Kubernetes certifications, and DevOps-focused credentials. The Government of Canada may support ongoing professional development through tuition reimbursement programs, training allowances, and access to online learning platforms. You will have opportunities to pursue advanced certifications and attend industry conferences to stay current with rapidly evolving AI and cloud technologies.
Entry Plans
There are several pathways to join the DND civilian workforce as an AI DevOps Specialist. Most positions are filled through open public service competitions advertised on the Government of Canada Jobs website. These competitions are open to Canadian citizens and may include screening tests and interviews assessing your technical skills and ability to work in a defence environment.
If you are already a federal public servant, you may apply through internal competitions or lateral transfer processes, which can offer faster advancement. The Government of Canada also participates in student hiring programs, including the Federal Student Work Experience Program (FSWEP) and Co-op placements, which provide pathways to permanent employment for recent graduates and students with relevant technical backgrounds.
You may also enter through deployment from the Canadian Armed Forces if you are a military member with relevant technical experience transitioning to civilian employment. Some positions may be filled through staffing pools or deployed competitions for candidates with specialized AI and DevOps expertise. Networking with defence technology teams and staying informed of postings through Government of Canada Jobs is recommended.
Part-Time Options
Part-time and flexible work arrangements for AI DevOps Specialist positions vary depending on operational needs and the specific position. Many AI DevOps roles in defence are full-time to ensure continuous system monitoring and support, as critical infrastructure requires ongoing attention.
However, the Government of Canada increasingly offers flexible work options, including compressed work weeks, flexible hours, and remote work arrangements where operationally feasible. Some positions may offer telework options, allowing you to work from home for portions of the week while maintaining availability for on-call infrastructure support. Part-time permanent positions are sometimes available, though they are less common in specialized technical roles.
When you apply for a specific position, the job posting will clearly indicate whether part-time, flexible, or remote work is available. Arrangements can often be negotiated with your manager once you begin employment, subject to operational requirements and security protocols. We encourage candidates to inquire about flexibility options during the application and interview process.
Related Careers
No related military careers on file for this position.
