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About the Role

The GenAI & Agentic Solutions Engineer is responsible for designing, building, and scaling practical GenAI and agentic AI solutions to address significant business challenges within Aviso and the broader wealth management sector. This 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. The position operates primarily within Databricks and AWS, with support for Azure environments, guiding solutions from discovery through to production delivery.

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.

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.
Bilingual skills in French are an asset.

Skills

Python
SQL
Git
GenAI applications
Conversational AI
RAG solutions
Agentic workflows
LLM-powered applications
Model APIs
Prompt engineering
Structured outputs
Agent orchestration frameworks (LangGraph, LangChain, LlamaIndex)
RAG solution design (embeddings, chunking, metadata filtering, vector retrieval, retrieval evaluation, response grounding)
Enterprise vector search and retrieval technologies (Databricks AI Search / Vector Search, Amazon Bedrock Knowledge Bases, Amazon OpenSearch)
GenAI evaluation, tracing, observability, iterative testing (MLflow, LangSmith)
Secure AI solution design
Privacy
Governance
Controlled access to enterprise data and tools
Human oversight
Identity and access control
Delegated permissions
Secrets management
Guardrails
Auditability
Controlled tool access
Enterprise data governance

Location

Toronto
Vancouver
Montreal

Work Type

Full-time

Experience Level

7+ years of experience
3+ years of experience in software, data, machine learning, or AI engineering

Education Level

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

Salary/Compensations

$125,000 - $135,000 CAD annually

Benefits

Competitive compensation package
Excellent health, dental and insurance benefits
Generous vacation time
Fitness benefit
Parental leave top-up options
Matching contributions to our retirement program
Learning & development opportunities
Education assistance program

About the Company

Aviso Wealth is a leading wealth management and investment services provider for the Canadian financial industry.
Manages approximately $145 billion in total assets under administration and management.
Employs over 1,000 people.
Building a comprehensive, technology-enabled, client-centric wealth services ecosystem.
Serves clients including partners, advisors, and investors.
Trusted partner for nearly all credit unions across Canada.
Provides services to a wide range of portfolio managers, investment dealers, insurance and trust companies, and introducing brokers.
Offers specific solutions to partners to provide a competitive edge.
Investment dealer and mutual fund dealer services support thousands of investment advisors.
NEI Investments specializes in investing responsibly.
Qtrade Direct Investing® empowers self-directed investors.
Qtrade Guided Portfolios® serves investors who prefer a hands-off approach.
Aviso Correspondent Partners provides custodial and carrying broker services.
Has offices in Toronto, Vancouver, and Montreal.
Backed by credit union Centrals, Co-operators/CUMIS, and Desjardins.
Powers businesses that empower investors.
Offers a dynamic and inclusive culture that rewards innovation and celebrates success.
Dedicated to the success and career development of employees.

Equal Opportunity

Aviso welcomes and encourages applications from all qualified individuals including persons with disabilities.
Will work with applicants to meet their needs in all stages of the hiring process if accommodation is required.
Thanks all applicants, but only those selected for further consideration will be contacted.
No recruiters or agencies, please.