Senior AI Engineer - AI Platform & ML Engineering Job Toronto area,Ontario Canada,IT/Tech

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

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 one
aviso:

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

Requirements

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, Dev Ops, data engineering or security

Microsoft Azure certifications related to AI, data, cloud engineering, Dev Ops, or security

Other relevant certifications in MLOps, LLMOps, cloud platforms, Dev Ops, 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…