AI Engineer - Gen AI & Agentic Solutions

Aviso Wealth • Toronto, ON

6d • CA$125,000 - CA$135,000

About The Position

Aviso Wealth is seeking an AI Engineer, GenAI & Agentic Solutions to join their Data & Analytics Partners team. This role reports to the Sr. Director of Data Science and AI Enablement and is responsible for designing, building, and scaling practical GenAI and agentic AI solutions to address significant business challenges across Aviso and the wider wealth management sector. The position involves translating business opportunities into secure, user-friendly, and measurable AI experiences, such as conversational AI, retrieval-augmented generation, intelligent knowledge experiences, and tool-integrated agentic workflows. The role primarily utilizes Databricks and AWS, with support for Azure environments, and manages solutions from initial discovery and proof-of-value through to controlled production deployment.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Data Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Engineering, or a related technical field with equivalent hands on experience building data, AI, software, platform or cloud engineering solutions.
• 7+ years of experience with 3+ years of experience in software, data, machine learning, or AI engineering, including demonstrated experience designing and deploying production-oriented GenAI or AI-enabled solutions.
• Strong Python, SQL, and Git-based software development skills.
• Experience designing and building GenAI applications, including conversational AI, RAG solutions, or agentic workflows.
• Experience connecting AI solutions with enterprise systems, data sources, APIs, tools, and business processes.
• Experience applying evaluation and testing approaches for GenAI or agentic solutions, including quality, safety, user feedback, and business-value measures.
• Familiarity with secure and responsible AI practices, including privacy, governance, controlled access to enterprise data and tools, and appropriate human oversight.
• Curiosity and judgment to assess emerging AI capabilities and recommend practical opportunities for the organization.
• Experience developing LLM-powered applications using model APIs, prompt engineering, structured outputs, and agent orchestration frameworks such as LangGraph, LangChain, LlamaIndex, or comparable technologies.
• Experience designing and building RAG solutions, including embeddings, chunking, metadata filtering, vector retrieval, retrieval evaluation, and response grounding.
• Experience with enterprise vector search and retrieval technologies, such as Databricks AI Search / Vector Search, Amazon Bedrock Knowledge Bases, Amazon OpenSearch vector capabilities, or comparable platforms.
• Experience with GenAI evaluation, tracing, observability, and iterative testing using MLflow, LangSmith, or comparable technologies.
• Understanding of secure AI solution design, including identity and access control, delegated permissions, secrets management, privacy, guardrails, auditability, controlled tool access, and enterprise data governance.
• Fluent communication skills in English are required.

Nice To Haves

• Bilingual skills in French are an asset.

Responsibilities

• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior