AI Engineer - Gen AI & Agentic Solutions

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

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

We're looking for an AI Engineer, GenAI & Agentic Solutions to join our Data & Analytics Partners team.

Reporting to the Sr. Director of Data Science and AI Enablement the GenAI & Agentic Solutions is responsible for designing, building, and scaling practical GenAI and agentic AI solutions that solve meaningful business problems across Aviso and the broader wealth ecosystem.

The role translates business opportunities into secure, usable, and measurable AI experiences, including conversational AI, retrieval-augmented generation, intelligent knowledge experiences, and tool-integrated agentic workflows.

Working primarily across Databricks and AWS, while supporting Azure-based environments where required, the role takes solutions from discovery and proof-of-value through controlled production delivery.

• 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

• Partner with business and domain teams to translate priority opportunities into clear GenAI and agentic solution designs, user journeys, success measures, and delivery plans
• Design and build conversational AI, retrieval-augmented generation, intelligent knowledge experiences, and agentic workflows that improve service, productivity, and decision-making
• Develop trusted retrieval and grounding patterns using enterprise content, knowledge, and data
• Build secure integrations between AI solutions, business applications, enterprise data, APIs, and tools, including human-in-the-loop review, escalation, and approval patterns where appropriate
• Improve prompts, context strategies, tool selection, workflow logic, and user experiences to increase solution quality, reliability, and usefulness
• Define and apply evaluation, testing, and feedback approaches to measure solution quality, safety, business value, and user outcomes
• Partner with AI Platform & ML Engineering to move solutions through approved production pathways using established deployment, observability, security, and governance standards
• Continuously assess emerging GenAI, agentic AI, and related platform capabilities; translate relevant trends into practical recommendations, proof-of-value opportunities, and reusable solution patterns

• Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Data Science, Artificial Intelligence, Machine Learning,…