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Added 8 hours ago
UX Designer
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Full-time
…wider AI Factory, the Designer works closely with the Product Manager, the Residential Underwriting Business SME, the AI Engineering Lead, engineers, and quality teams to make AI outputs…
Added 9 hours ago
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Added 11 hours ago
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Full-time
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Added 12 hours ago
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Added 16 hours ago
Senior AI Engineer - AI Platform & ML Engineering
Aviso Wealth
Remote, Canada
$135,000 to $150,000 CAD / year
Full-time · Remote
Bachelor’s or Master's Degree in Computer Science, Software Engineering, Data Engineering, Data Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Engineering or…
Added 16 hours ago
Senior AI Engineer - AI Platform & ML Engineering IT-26-229
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Senior Manager, Risk, Analytics & Technology Enablement
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$165,000 to $198,000 CAD / year
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Added 18 hours ago
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Aviso Wealth

Senior AI Engineer - AI Platform & ML Engineering

Remote, Canada

Pay: $135,000 to $150,000 CAD / year
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Sep 23, 2026

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Original job description

Aviso Wealth:

At Aviso, we are dedicated to improving the financial well-being of Canadians. As a leading wealth management organization, we are committed to leadership, innovation, partnership, responsibility, and community. Working with talented and energetic professionals who exemplify our values every day, you will quickly notice that our people and dynamic ‘oneaviso’ culture sets us apart. If you are looking for interesting and challenging work, at a company committed to its people, find out more about what Aviso has to offer at www.aviso.ca.

The Opportunity:

We’re looking for an AI Engineer, AI Platform & ML Engineering to join our Data & AI Technology Partners team. Reporting to the Sr. Director of Data Science and AI Enablement, the AI Platform & ML Engineering is responsible for focusing on the platform patterns, MLOps practices, model lifecycle, deployment standards, monitoring, evaluation, and governance integration needed to move AI and machine learning solutions beyond experimentation. This is a hands-on engineering role for someone who wants to build the foundation that allows AI solutions to become repeatable, governed, observable, and production ready.

As oneaviso:

We Care – You do the right thing for clients, partners and colleagues. You build trusted relationships, champion service excellence, and contribute to a culture where people feel valued and supported

We Dare –You challenge the status quo with bold ideas and fresh perspectives. You embrace change, seek opportunities to innovate and are comfortable exploring new ways of working

We Share – You collaborate openly and build meaningful relationships. You seek out diverse perspectives, share your knowledge and work together to help colleagues, clients and partners succeed

We Deliver – You take ownership of your work, honour your commitments and focus on delivering meaningful results. You hold yourself accountable and continuously look for ways to improve

What your day looks like:

Build reusable AL and ML engineering patterns that help teams move from proof-of-value to production safely and consistently
Establish practical MLOps and LLMOps practices using Databricks, AWS, MLflow and related platform capabilities
Create standards and templates for model deployment, serving, monitoring, evaluation, and production release
Support API integration and deployment patterns for ML, GenAI and agentic solutions
Partner with Data Engineering & Data Management to define feature engineering data product, and reusable pipeline patterns for AI/ML use cases
Help define how models, prompts, agents, data products, and AI outputs are versioned, tracked, monitored, and governed
Partner with Data & AI Governance to embed responsible AI, lineage, access control, auditability, and risk controls into production workflows
Help monitor AI cost, performance, reliability, usage, and operational risk, while contributing to reusable standards and community learning

Your experience and skills:

Bachelor’s or Master's Degree in Computer Science, Software Engineering, Data Engineering, Data Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Engineering or related technical field
Equivalent hands-on experience building data, AI, machine learning, platform, or cloud engineering solutions may be considered in place of formal education
10+ years of overall experience with 4+ years of experience building, deploying, or supporting machine learning, AI, or data-driven solutions in production environments and 5 to 7 years working in the data space
Databricks certification related to Machine Learning, Data Engineering, Generative AI or platform administration
AWS certifications related to cloud architecture, machine learning, AI, DevOps, data engineering or security
Microsoft Azure certifications related to AI, data, cloud engineering, DevOps, or security
Other relevant certifications in MLOps, LLMOps, cloud platforms, DevOps, security, architecture, or enterprise AI platforms
Strong Python development skills, especially for ML engineering, automation, APIs, testing and production implementation
Hands-on experience with cloud-based AI/ML platforms; experience with AWS an asset, Databricks, Azure, MLflow or Lakehouse platforms
Strong understanding of MLOps, CI/CD/CT, model deployment, model serving, and production release practices for AI and ML solutions
Experience with model evaluation, validation, monitoring and observability, including model performance, drift, reliability, latency, usage and cost
Familiarity with LLMOps practices that support GenAI and agentic solutions in production, including prompt/model versioning, evaluation pipelines, controlled releases, and production support patterns
Experience developing reusable AI/ML platform patterns, including deployment templates, secure serving patterns, feature engineering standards, and integration frameworks
Understanding of enterprise security, governance, and control requirements for production AI and ML workloads
Strong consultative and communication skills, with the ability to explain technical trade-offs to data, technology, risk, governance, and business stakeholders
Fluent communication skills in English are required and bilingual skills in French are an asset

Why Aviso Wealth?

At Aviso Wealth, you will find a dynamic and inclusive culture that rewards innovation and celebrates success.

Here are a few things that set us apart:

Competitive compensation package that rewards and recognizes individual contributions
Excellent health, dental and insurance benefits to meet the diverse needs of our employees
Generous vacation time, fitness benefit, parental leave top-up options
Matching contributions to our retirement program
Commitment to the continuous improvement of our staff through learning & development and an education assistance program
Regular social events to foster teamwork

Your Information

By submitting your application, you consent to the collection, use, and disclosure of your provided personal information for the purposes of assessing your qualifications and suitability for employment with Aviso. Your information will be handled in accordance with applicable Canadian privacy laws, including the Personal Information Protection and Electronic Documents Act (PIPEDA) and relevant provincial legislation. Your data may be shared with authorized personnel involved in the recruitment process and retained only as long as necessary to fulfill these purposes or as required by law.

Further information is available on the Privacy link on our Career Page – Privacy Policies

Equal Employment Opportunity

Aviso welcomes and encourages applications from all qualified individuals including persons with disabilities. If you require an accommodation, we will work with you to meet your needs in all stages of the hiring process.

We thank all applicants for their interest, however, only those selected for further consideration will be contacted.

No recruiters or agencies, please.

Company Overview:

Aviso is a leading wealth management and investment services provider for the Canadian financial industry, with approximately $145 billion in total assets under administration and management, and over 1,000 employees. We’re building a comprehensive, technology-enabled, client-centric wealth services ecosystem. Our clients include our partners, advisors, and investors. We’re a trusted partner for nearly all credit unions across Canada, in addition to a wide range of portfolio managers, investment dealers, insurance and trust companies, and introducing brokers. Our partners depend on Aviso for specific solutions that give them a competitive edge in a rapidly evolving, highly competitive industry. Our investment dealer and mutual fund dealer and our insurance services support thousands of investment advisors. Our asset manager, NEI Investments, specializes in investing responsibly. Our online brokerage, Qtrade Direct Investing®, empowers self-directed investors, and our fully automated investing service, Qtrade Guided Portfolios®, serves investors who prefer a hands-off approach. Aviso Correspondent Partners provides custodial and carrying broker services to a wide range of firms. We have offices in Toronto, Vancouver, and Montreal. Aviso is backed by the collective strength of our owners: the credit union Centrals, Co-operators/CUMIS, and Desjardins. We’re proud to power businesses that empower investors.

A career with Aviso means being part of a group of talented, energetic professionals who live their values every day, and belonging to an organization dedicated to your success and career development. If you’re looking for interesting and challenging work, at a company committed to its people, apply to join our team.

Salary

This position is posted with an expected salary range of $135,000 - $150,000 CAD annually. Individual compensation packages are based on various factors unique to each candidate and the requirements of the position.

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More about this job

Responsibilities

The AI Engineer will build reusable platform patterns and MLOps practices to move AI and machine learning solutions from experimentation to production. They will also partner with data and governance teams to ensure model deployment, monitoring, and risk controls are integrated into production workflows.

Requirements

Candidates must have 10+ years of experience, including at least 4 years in production machine learning or AI environments. A bachelor's or master's degree in a technical field is required, along with strong Python skills and experience with cloud-based AI platforms.

Skills

Python
MLOps
LLMOps
Databricks
AWS
MLflow
Machine learning
Artificial intelligence
Data engineering
Cloud architecture
CI/CD
Model deployment
Model monitoring
Generative AI
API integration
Governance

Benefits

Health insurance
Dental insurance
Insurance benefits
Generous vacation time
Fitness benefit
Parental leave top-up
Retirement program matching
Learning and development
Education assistance program

Visa sponsorship

Not detected in the job text

Keywords

AI Platform
ML Engineering
Databricks
AWS
MLflow
Python
MLOps
LLMOps
GenAI
CI/CD/CT
Model deployment
Feature engineering
Data governance
Cloud architecture
DevOps
API
Agentic solutions
Model observability
Risk controls
Wealth management
Data science
Software engineering
Automation
Production implementation
Lineage
Auditability
Lakehouse
Enterprise AI
Security
Consultative skills

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