Senior Applied AI Engineer

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The Senior Applied AI Engineer is responsible for designing developing and deploying advanced Gen AI and machine learning solutions that
drive business value in Wealth Management. This role blends deep technical expertise with financial domain knowledge collaborating with
cross-functional teams to deliver scalable secure and compliant AI products. The engineer will design and implement GenAI and agent-based
systems to enhance advisor workflows client engagement and operational efficiency.
Key Responsibilities

• Contribute to the overall Wealth Management AI strategy formulation and execution
• Architect and build GenAI-powered applications for Wealth management use cases.
• Liaise with relevant technology teams to build and deploy Gen AI solutions
• Lead the solution development from ideation to prototyping and liaise with our partners to facilitate production and monitoring.
• Collaborate with product managers data scientists engineers and business stakeholders to translate requirements into technical solutions.
• Integrate AI solutions with existing platforms (CRM portfolio management data warehouses) and ensure interoperability.
• In collaboration with the risk and RAIOps teams ensure all AI solutions meet performance security and regulatory standards.
• Leverage best practices in MLOps model governance and responsible AI.
• Stay current with industry trends emerging AI technologies in financial services AI.
• Document technical designs create demos and support enablement and adoption across the organization.

Required Skills and Tools

• Advanced proficiency in Python and machine learning frameworks (TensorFlow PyTorch scikit-learn).
• Experience building Copilot Studio Agents.
• Proficiency with GenAI LLMs (e.g. OpenAI Google Gemini Anthropic) and agent orchestration frameworks (LangChain
  LangGraph AutoGen).
• Strong understanding of cloud platforms (Azure AWS GCP) and MLOps tools (MLflow Kubeflow Airflow).
• Familiarity with financial services workflows data privacy and compliance requirements.
• Strong hands-on experience with both AWS and Azure cloud environments including their AI/ML data and deployment
• toolsets (e.g. SageMaker S3 Lambda Azure Functions Azure ML Blob Storage)
• Proficiency with Kubernetes for container orchestration and deployment of scalable AI solutions.
• Experience with Docker and CI/CD pipelines
• Expertise in data engineering model deployment and monitoring.
• Knowledge of API integration microservices and scalable system architecture.
• Excellent problem-solving communication and stakeholder management skills.

Qualifications:

• Bachelors or Masters degree in Computer Science Engineering Data Science or related field.
• 10 years of experience in AI/ML engineering with at least 2 years in financial services or regulated industries or a combination of relevant experience and education.
• Proven track record of designing and deploying production-grade AI solutions.
• Experience working in Agile teams and collaborating with cross-functional stakeholders.
• Demonstrated ability to mentor and lead technical teams.

Advanced level of proficiency:

• Gen AI Mathematics
• Critical thinking.
• Creative reasoning.
• Computational Thinking and Programming.
• Deep Learning.
• Machine Learning.
• Scaling Models.
• Continuous Integration and Continuous Delivery/Deployment.
• ML algorithm.
• Verbal & written communication skills.
• Analytical and problem solving skills.
• Influence skills.
• Collaboration & team skills; with a focus on cross-group collaboration.
• Able to manage ambiguity.

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 committed to an inclusive equitable and accessible workplace. By learning from each others 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.

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.