Senior Cloud Engineer AI

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Senior Cloud Engineer ML/AI Platform

We are seeking a Senior Cloud Engineer with deep expertise in AWS and Azure AI/ML services to drive our enterprise ML/AI platform capabilities. You will evaluate and enable cloud AI/ML services build reusable architectural patterns and develop automated MLOps solutions in a highly regulated banking environment. This role requires hands-on experience with modern AI/ML platforms and the ability to design secure compliant solutions that accelerate AI adoption across the organization.

What You Will Do

Evaluate and enable AWS and Azure AI/ML services (SageMaker Bedrock Azure OpenAI Azure AI Foundry) through proof-of-concepts and comprehensive assessments

Design and implement reusable architectural patterns for secure AI/ML integrations including private endpoints customer-managed keys and service-to-service authentication

Build end-to-end MLOps platforms and automated ML pipelines for model training evaluation deployment and monitoring

Produce technical reports on security networking compliance guardrails and cost analysis for AI/ML service enablement

Develop frameworks infrastructure-as-code and automation to accelerate AI/ML adoption

Implement observability solutions with model monitoring metrics and drift detection

Partner with Enterprise Architecture and senior stakeholders to align platform capabilities with strategic roadmaps

Provide technical leadership and mentorship on AI/ML cloud best practices

What You Need to Succeed

Must Have

5-7 years of cloud engineering experience with 3 years focused on AI/ML platforms

Deep hands-on expertise with AWS AI/ML services: SageMaker (training pipelines inference JumpStart) Bedrock

Deep hands-on expertise with Azure AI/ML services: Azure Machine Learning Azure OpenAI Azure AI Foundry

Experience building MLOps platforms and automated ML pipelines

Strong knowledge of LLMOps LLM lifecycle management agentic AI RAG (retrieval-augmented generation) and prompt engineering

Experience implementing guardrails and governance for LLM services

Proficiency in Python and infrastructure-as-code (Terraform CloudFormation ARM/Bicep)

Experience with MLflow(or similar tool) experiment tracking and model registries

Expertise in cloud security patterns including private endpoints customer-managed keys and network isolation for AI/ML services

Strong understanding of cloud networking architecture in regulated environments

Experience working in highly regulated industries with compliance requirements

Agile delivery experience

Nice to Have

AWS or Azure AI/ML certifications

Experience with vector databases and embedding models

Knowledge of model optimization and inference acceleration

Background in financial services or banking

Salary:

Pay Type:

The above represents BMO Financial Groups 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 Groups expected target for the first year in this position.

BMO Financial Groups 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: 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. Well 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 well help you gain valuable experience and broaden your skillset.

To find out more visit us at is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race religion color national origin sex (including pregnancy childbirth or related medical conditions) sexual orientation gender identity gender expression transgender status sexual stereotypes age status as a protected veteran status as an individual with a disability or any other legally protected characteristics. We also consider applicants with criminal histories consistent with applicable federal state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process please send an e-mail to and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO directly or indirectly will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid written and fully executed agency agreement contract for service to submit resumes.