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Senior Applied AI Engineer

@ Urban Ridge Supplies

Toronto, Ontario

Full-time10+ years experience
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Overview

Urban Ridge Supplies is hiring a Senior Applied AI Engineer to design, build and deploy GenAI and machine learning solutions for Wealth Management. The role covers agent-based systems for advisor workflows, client engagement and operations, integrated with CRM, portfolio and data platforms under risk and compliance oversight. Full-time, salary range $105,000 to $215,000.

Responsibilities:

  • Architect and build GenAI applications for wealth management
  • Integrate AI solutions with CRM, portfolio and data platforms
  • Ensure AI solutions meet performance, security and regulatory standards
  • Lead solution development from prototype to production
  • Mentor and lead technical teams

Requirements summary:

  • 10+ years AI/ML engineering experience
  • At least 2 years in financial services or regulated industries
  • Advanced Python and ML framework skills
  • Experience building Copilot Studio agents
  • Strong AWS and Azure cloud experience

Tools & skills

Benefits mentioned

Health insuranceLife insuranceRetirement planTuition support
Source and dates

Employer career site / ATS feed · teamtailor

Employer posting date
2026-09-24
First seen by our source
2026-10-11
Source record updated
2026-10-30

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentData & analytics
Experience10+ years
Hours per week40 (estimated)
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
EducationBachelor’s degree (required), Master’s degree (preferred)
Fields of studyComputer Science, Engineering, Data Science
Perks mentionedRetirement plan, Tuition support, Performance bonus

Summary and details written by AI from the posting; the employer’s posting is the authority.

Urban Ridge Supplies

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

Supplying high-quality pipes for residential, commercial, and industrial needs.

Full company description

Supplying high-quality pipes for residential, commercial, and industrial needs across Karachi. Fast delivery. Trusted quality.

LinkedIn followers
14,005
Reported office locations
  • Sheikh Mohammed bin Rashid Boulevard 1, Zabeel, Dubai, AE
Other recorded names
  • Urban Ridge Supplies
Profile identifies a recruitment agency
No

Supplying high-quality pipes for residential, commercial, and industrial needs across Karachi. Fast delivery. Trusted quality.

FieldValue
IndustryWholesale Building Materials
Company size2-10 employees
HeadquartersZabeel, Dubai
Organization typePrivately Held
Open jobs on Jobsy124
LinkedInView page
Job description

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:

  • Bachelor’s or Master’s 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.

Salary:

$105,000.00 - $215,000.00

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.

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.


Job Id: vZ8zdpos0oxvKjbZ79lEuTQ7/4afg6QMcwaHki5Y/4LunhV1U+e3YC0o7tKT9Mhnz1mMQB8IPTvNO0fbHTRJa1PorSB0dTwYHA==

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