AI Developer

Permanent Full Time

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We are looking for an AI Engineer with a strong cloud, software-development and full-stack engineering background to design and build secure, scalable and user-centred AI applications. This role focuses on turning AI models, agents and data capabilities into complete business solutions through front-end development, back-end services, APIs, enterprise integrations and production-quality engineering.

Canada Life is one of Canada’s leading insurance carriers and part of a strong and mature global financial company. Canada Life has embarked on a transformation that is changing the way we work and how we help our customers. You will be part of a core AI delivery team with a strong commitment to transforming our business through technology, data and analytics. You will work closely with Data Scientists, AI Platform Engineers, Data Engineers, MLOps Engineers, Business Analysts, Solution Architects, Product Owners, governance partners and business subject-matter experts.

What you’ll do:

• Partner with business, data-scienceand technology stakeholders to translate use cases, user journeysand non-functional requirements into complete AI application designs.

• Design and build full-stack AI applications, including accessible and responsive front ends, back-end services, APIs, data storesand enterprise integrations.

• Develop intuitive user experiences that enable people to interact effectively with AI capabilities, review source evidence, provide feedbackand complete human-in-the-loop activities.

• Build production-grade back-end services in Python and other appropriate technologies, applying modular design, separation of concerns, secure codingand reusable engineering patterns.

• Design and implement REST APIs, service contracts, validation, error handling, authentication and integration patterns connecting AI solutions with enterprise systems and data sources.

• Engineer generative-AIand agentic solutions that combine models, retrieval, tools, APIs, business rulesand workflow components while selecting the simplest effective architecture.

• Implementretrieval-augmented generation and intelligent-document-processing components, including ingestion, parsing, chunking, indexing, retrieval, groundingand citation experiences.

• Integrate with approved cloud and AI platform capabilities for model access, orchestration, identity, security, observabilityand deployment without duplicating shared platform ownership.

• Develop automated unit, integration, end-to-end and regression tests covering application behaviour, AI interactions, API contracts, security controlsand failure conditions.

• Containeriseapplications and support their deployment across sandbox, development, QA, UAT and production environments in collaboration with MLOpsand platform engineering teams.

• Design for performance, scalability, availability, recoverability, cost efficiency and supportability, including effective logging, tracing, telemetryand operational diagnostics.

• Apply responsible-AI, privacy, security, model-risk and data-governance requirements throughout solution design and implementation, including guardrails, traceabilityand human oversight.

• Produce production-ready code, technical documentation, architecture and decision records, API specifications, test evidenceand operational runbooks.

• Evaluate emerging AI models, frameworks, developer toolsand vendor solutions through structured prototypes and recommend approaches based on quality, maintainability, security, costand enterprise fit.

• Contribute reusable application components, SDKs, integration patterns, front-end elementsand engineering guidance, while providing technical leadership through design reviews, code reviewsand peer coaching.

What you bring:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Computer Engineering or a related discipline, or equivalent practical experience.

• 3+ years of hands-on experience building and delivering production software applications, preferably including cloud-hosted AI or data-intensive solutions.

• Strong software-developmentskills in Python and at least one modern front-end frameworksuch as Reactwith the ability to build both user interfaces and back-end services.

• Demonstrated experience with API engineering, enterprise integration, database or storage integration, object-oriented and modular design, source controland automated testing.

• Practical experience with cloud-native engineeringon Microsoft Azureand Databricks, including containers, identity and access, secrets, configuration, networking, observabilityand environment management.

• Hands-on experience integrating generative AI, large language models, retrieval or agentic capabilities into applications and business workflows.

• Ability to build secure, scalableand supportable solutions within enterprise architecture, responsible-AI, privacy, securityand data-governance requirements.

• Strong problem-solving, communicationand collaboration skills, with the ability to work across business, data science, engineering, architecture, governanceand external delivery partners.

Assets:

• Experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Machine Learning, Document Intelligence, content understandingor comparable cloud AI services.

• Experience with Databricks, MLflow, Spark, Unity Catalog or Databricks generative-AIand retrieval capabilities.

• Experience with agent frameworks and tool-integration approaches such as Microsoft Agent Framework, Semantic Kernel, LangChain, LangGraphor MCP.

• Knowledge of CI/CD, GitLab, Azure DevOps, Kubernetes, infrastructure ascode and automated security or quality controls.

• Experience in financial services, insurance or another regulated industry, including claims, underwriting, fraud, knowledge managementor document-modernisationsolutions.

Given the size and scope of our organisation, we have the flexibility for this position to be located in the following head office locations: Toronto, London, Winnipeg.

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The base salary for this position is between $85,200 - $135,200 annually. This represents base salary only and does not represent other variable compensation components of our total compensation ( i.e. annual bonus, commission etc). If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you.

Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis.

Grow with Canada Life

We’re united by a shared purpose: to improve the financial, physical and mental well-being of Canadians. Our company is trusted by 1 in 3 Canadians and contributes to the strength of communities across the country.

We’re looking for people who live our values everyday: we step up, we do the right thing, and we deliver - for our customers, communities and each other. Are you someone who always strives to do the right thing, who steps up for themselves and others, and who delivers with impact? Then we want to hear from you!

What we offer:

We’re committed to supporting our employees through every stage of their career. Here’s what you can expect as a full-time or part-time permanent team member:

• Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to $2,000 annually towards education reimbursement.

• Health & Wellness: Flexible health and dental benefits, plus a $5,000 mental health benefit to support your well-being.

• Time Off: In addition to regular vacation and personal days, we support community involvement with a volunteer day.

• Financial Security: Company-matching pension plan, share ownership program and additional investment options.

• Rewards and Recognition: Employee recognition programs, service milestone celebrations, employee discounts and more!
• Emphasis on Community: We provide a workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events.

Learn more about Canada Life.

We’re committed to removing barriers and ensuring equal access to employment. Applicants requiring reasonable accommodation during the application process may contact [email protected]. All information provided will be handled in accordance with applicable laws and Canada Life policies.

Canada Life would like to thank all applicants, however only those who qualify for an interview will be contacted.

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