AI Developer

Canada Life Group; London; On-site; CAD 85,000 - 135,000; Full time

Benefits offered by this job

Career development

Health & Wellness benefits

Pension plan

Employee discounts

Job summary

Canada Life in London, ON, is seeking an AI Engineer with strong cloud, software development and full‑stack experience to design and build secure, scalable AI applications that power business outcomes. You will translate use cases into complete AI designs and deliver front‑end, back‑end, APIs and enterprise integrations.

You will collaborate with data scientists, platform engineers and governance partners to ensure responsible‑AI, security and data‑governance while delivering production‑grade

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering or 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-development skills in Python and React; ability to build both user interfaces and back-end services.

Responsibilities

• Translate use cases, user journeys and non-functional requirements into complete AI application designs.
• Design and build full-stack AI applications with front ends, back-end services, APIs and enterprise integrations.
• Develop intuitive user experiences for interaction with AI capabilities and human-in-the-loop activities.
• Build production-grade back-end services in Python and other appropriate technologies, with secure design and reusable patterns.
• Design and implement REST APIs, service contracts, validation, authentication and enterprise integration patterns.

Skills

Python

React

Cloud

Full-stack

Education

Bachelor’s or Master’s degree in Computer Science/Software Engineering or related

Tools

Databricks

MLflow

Spark

Kubernetes

Azure DevOps

GitLab

Job description

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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- science and technology stakeholders to translate use cases, user journeys and 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 stores and enterprise integrations.

Develop intuitive user experiences that enable people to interact effectively with AI capabilities, review source evidence, provide feedback and 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 coding and 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-AI and agentic solutions that combine models, retrieval, tools, APIs, business rules and workflow components while selecting the simplest effective architecture.

Implement retrieval-augmented generation and intelligent-document-processing components, including ingestion, parsing, chunking, indexing, retrieval, grounding and citation experiences.

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

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

Containerise applications and support their deployment across sandbox, development, QA, UAT and production environments in collaboration with MLOps and platform engineering teams.

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

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

Produce production‑ready code, technical documentation, architecture and decision records, API specifications, test evidence and operational runbooks.

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

Contribute reusable application components, SDKs, integration patterns, front‑end elements and engineering guidance, while providing technical leadership through design reviews, code reviews and 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‑development skills in Python and at least one modern front‑end framework such as React with 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 control and automated testing.

Practical experience with cloud‑native engineering on Microsoft Azure and Databricks , including containers, identity and access, secrets, configuration, networking, observability and environment management.

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

Ability to build secure, scalable and supportable solutions within enterprise architecture, responsible‑AI , privacy, security and data-governance requirements.

Strong problem‑solving, communication and collaboration skills, with the ability to work across business, data science, engineering, architecture, governance and external delivery partners.

Assets:

Experience with Databricks, MLflow , Spark, Unity Catalog or Databricks generative‑AI and retrieval capabilities.

Experience with agent frameworks and tool‑integration approaches such as Microsoft Agent Framework, Semantic Kernel, LangChain , LangGraph or MCP.

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

Experience in financial services, insurance or another regulated industry, including claims, underwriting, fraud, knowledge management or document- modernisation solutions.

Grow with Canada Life

We’reunited by a shared purpose: to improve the financial,physicaland mental well‑beingof Canadians. Our company is trusted by 1 in 3 Canadians and contributes to the strength of communities across the country.

We’relooking for people who live our values everyday: we step up, we do the right thing, and we deliver – for our customers,communitiesand 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 annuallytowardseducation 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 andpersonal days,we support communityinvolvement with avolunteer day.
• Financial Security:Company-matching pension plan,share ownership program andadditionalinvestment options.
• Rewards and Recognition:Employee recognition programs, service milestone celebrations, employee discounts and more!
• Emphasis onCommunity:We provide aworkplace whereemployeesfeel connected and supported throughEmployee Resource Groups (ERGs),mentorshipprograms,socialclubsandevents.

We’recommitted to removing barriers and ensuring equal access to employment. Applicants requiring reasonable accommodation during the application process may contact [e-mail] . All information provided will be handledin accordance withapplicable laws and Canada Life policies.

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

Location: London, ON, CA Toronto, ON, CA Winnipeg, MB, CA

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.