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Aviso Wealth is seeking a Senior AI Engineer to join the Data & AI Technology Partners team, reporting to the Sr. Director of Data Science and AI Enablement. This hands-on engineering role focuses on building the platform foundations, MLOps practices, and governance frameworks that enable AI and machine learning solutions to move from experimentation to repeatable, production-ready deployments.
Key responsibilities include:
- Design and build reusable AI/ML engineering patterns and templates that help teams safely transition from proof-of-value to production
- 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 and Data Management to define feature engineering data products and reusable pipeline patterns
- Define versioning, tracking, monitoring, and governance approaches for models, prompts, agents, data products, and AI outputs
- Collaborate with Data & AI Governance to embed responsible AI, lineage tracking, access control, auditability, and risk controls into production workflows
- Monitor AI cost, performance, reliability, usage, and operational risk while contributing to reusable standards and community learning
Required qualifications:
- Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, Data Science, AI, Machine Learning, Mathematics, Statistics, or related technical field (or equivalent hands-on experience)
- 10+ years overall experience with 4+ years building, deploying, or supporting ML/AI solutions in production and 5-7 years in the data space
- Strong Python development skills for ML engineering, automation, APIs, testing, and production implementation
- Hands-on experience with cloud-based AI/ML platforms (AWS, Databricks, Azure, MLflow, or Lakehouse platforms)
- Strong understanding of MLOps, CI/CD/CT, model deployment, serving, and production release practices
- Experience with model evaluation, validation, monitoring, and observability (performance, drift, reliability, latency, usage, cost)
- Familiarity with LLMOps practices for GenAI and agentic solutions in production
- Experience developing reusable AI/ML platform patterns, deployment templates, and secure implementations
- Relevant certifications in Databricks (ML, Data Engineering, GenAI, or platform admin), AWS (cloud architecture, ML, AI, DevOps, security), Azure (AI, data, cloud engineering, DevOps, security), or MLOps/LLMOps platforms
Aviso Wealth is a leading Canadian wealth management organization committed to improving financial well-being through innovation, leadership, partnership, responsibility, and community engagement.
