BM Devops Analyst - Technical BMO · Toronto · DevOps & Release CA$70,000–CA$150,000 3d ago

Devopsroles; Toronto; On-site; CAD 56,000 - 120,000; Full time

Job summary

BMO Financial Group in Canada seeks a DevOps & Technical Business Analyst to design, govern, and optimize AI-powered solutions that improve software delivery, operations, and decision making. You will bridge business stakeholders, DevOps teams, and AI platforms by translating requirements into effective prompts, workflows, and automations.

Responsibilities include designing AI prompts for Microsoft Copilot, Azure OpenAI, GitHub Copilot, and other LLM-based tools; establishing standards and

Qualifications

• 2-5 years of relevant experience and a post-secondary degree.
• Deep knowledge and technical proficiency gained through education and business experience.
• Agile Delivery and Development.
• Data analysis.
• DevOps Practices and CI/CD.
• Cloud Platforms (Azure / AWS).
• Prompt Engineering and AI Solution Design.
• AI Governance and Responsible AI.
• Digital Fluency.
• Stakeholder Analysis and Management.

Responsibilities

• Design, develop, test, and optimize AI prompts for enterprise AI platforms.
• Establish prompt engineering standards, reusable prompt libraries, and governance frameworks.
• Evaluate AI model performance and refine prompts to improve accuracy, efficiency and outcomes.
• Develop AI-assisted workflows for software development, testing, release management, operations, and processes.
• Collaborate with business and technology teams to identify and prioritize AI use cases.
• Ensure AI solutions comply with enterprise security, risk, and regulatory requirements.
• Elicit, analyze, document, and validate business and technical requirements.
• Translate business objectives into AI-enabled solutions, user stories, workflows, and implementation requirements.
• Develop business cases, impact assessments, process maps, and solution recommendations.
• Conduct stakeholder interviews, workshops, and discovery sessions.
• Create functional and non-functional requirements documentation.
• Analyze business processes and identify opportunities for automation and optimization using AI.
• Define and execute UAT strategies and test cases.
• Partner with DevOps, Development, QA, and Release Management teams to integrate AI capabilities within CI/CD pipelines.
• Design AI-assisted automation solutions for code reviews, testing, deployment validation, release readiness, and monitoring.
• Utilize GitHub, AWS DevOps, Jenkins, GitHub Actions, SonarQube, CodeQL, and cloud-native services to support AI-enabled software delivery.
• Optimize software development workflows through AI-driven insights and automation.
• Support application lifecycle management, release planning, environment management, and deployment governance.
• Ensure responsible AI practices and compliance with governance standards.

Skills

DevOps Practices and CI/CD

Cloud Platforms (Azure / AWS)

Prompt Engineering and AI Solution Des

Agile Delivery and Development

Data analysis

Verbal & written communication skills

Stakeholder Analysis and Management

Process Automation

AI Governance and Responsible AI

Digital Fluency

Systems Thinking

Analytical and problem solving skills

Data driven decision making

Change and Release Management

Learning Agility

Collaboration & team skills

Application Functional Design

Education

Post-secondary degree in related field

Tools

GitHub

AWS DevOps

Jenkins

GitHub Actions

SonarQube

CodeQL

Job description

Application Deadline:

10/25/2026

Address:

33 Dundas Street West

Job Family Group:

Technology

The Devops & Technical Business Analyst is responsible for designing, optimizing, and governing AI-powered solutions that improve business operations, software delivery processes, decision-making, and customer experiences. This role bridges business stakeholders, software engineering, DevOps teams, and AI platforms by translating business requirements into effective AI prompts, workflows, automations, and intelligent solutions.

The successful candidate will combine expertise in Generative AI, Prompt Engineering, Business Analysis, DevOps practices, software delivery lifecycle, and process optimization to drive innovation and operational efficiency across the enterprise.

• Design, develop, test, and optimize AI prompts for enterprise AI platforms such as Microsoft Copilot, Azure OpenAI, ChatGPT Enterprise, GitHub Copilot, and other LLM-based solutions.
• Establish prompt engineering standards, reusable prompt libraries, and governance frameworks.
• Evaluate AI model performance and continuously refine prompts to improve accuracy, consistency, efficiency, and business outcomes.
• Develop AI-assisted workflows for software development, testing, release management, operations, support, and business processes.
• Collaborate with business and technology teams to identify and prioritize AI use cases.
• Ensure AI solutions comply with enterprise security, risk, and regulatory requirements.
• Elicit, analyze, document, and validate business and technical requirements.
• Translate business objectives into AI-enabled solutions, user stories, workflows, and implementation requirements.
• Develop business cases, impact assessments, process maps, and solution recommendations.
• Conduct stakeholder interviews, workshops, and discovery sessions.
• Create functional and non-functional requirements documentation.
• Analyze business processes and identify opportunities for automation and optimization using AI.
• Define and execute User Acceptance Testing (UAT) strategies and test cases.
• Partner with DevOps, Development, QA, and Release Management teams to integrate AI capabilities within CI/CD pipelines.
• Design AI-assisted automation solutions for code reviews, testing, deployment validation, release readiness, and operational monitoring.
• Utilize GitHub, AWS DevOps, Jenkins, GitHub Actions, SonarQube, CodeQL, and cloud-native services to support AI-enabled software delivery.
• Optimize software development workflows through AI-driven insights and automation.
• Support application lifecycle management, release planning, environment management, and deployment governance.
• Ensure responsible AI practices, ethical AI usage, and compliance with enterprise governance standards.
• Support risk assessment activities related to AI solutions.
• Apply organizational Risk Management Frameworks when implementing AI-powered capabilities.
• Maintain controls for data privacy, security, and regulatory compliance.

Qualifications

• Typically between 2 - 5 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Deep knowledge and technical proficiency gained through extensive education and business experience.
• Agile Delivery and Development.
• Data analysis.
• Learning Agility.
• DevOps Practices and CI/CD
• Process Automation.
• Cloud Platforms (Azure / AWS)
• Stakeholder Analysis and Management.
• Digital Fluency.
• Systems Thinking.
• Verbal & written communication skills.
• Collaboration & team skills.
• Analytical and problem solving skills.
• Data driven decision making.
• Change and Release Management
• Prompt Engineering and AI Solution Design
• Business Requirements Analysis
• Functional Analysis
• AI Governance and Responsible AI
• Insights Development and Reporting
• Process Analysis and Optimization
• Application Functional Design
• AI Use Case Discovery and Assessment

Salary

$55,500.00 - $120,000.00

Pay Type

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.