AI Developer
The Canada Life Assurance Company6 days ago
London, CanadaMid Level
Responsibilities
- Partner with business, data science, and technology stakeholders to translate use cases, user journeys, and non-functional requirements into AI application designs.
- Design and build full-stack AI applications with accessible front ends, Python back-end services, APIs, data stores, and enterprise integrations.
- Develop user experiences for interacting with AI capabilities, reviewing source evidence, providing feedback, and completing human-in-the-loop activities.
- Engineer generative-AI and agentic solutions using models, retrieval, tools, APIs, business rules, and workflow components.
- Implement retrieval-augmented generation and intelligent-document-processing capabilities, including ingestion, parsing, chunking, indexing, retrieval, grounding, and citation experiences.
- Integrate approved cloud and AI platform capabilities for model access, orchestration, identity, security, observability, and deployment.
- Build automated unit, integration, end-to-end, and regression tests covering application behavior, AI interactions, API contracts, security controls, and failure conditions.
- Containerize applications and support deployment across sandbox, development, QA, UAT, and production environments.
- Design for performance, scalability, availability, recoverability, cost efficiency, supportability, logging, tracing, telemetry, and operational diagnostics.
- Apply responsible-AI, privacy, security, model-risk, and data-governance requirements, including guardrails, traceability, and human oversight.
- Produce production-ready code, technical documentation, architecture and decision records, API specifications, test evidence, and operational runbooks.
- Evaluate AI models, frameworks, developer tools, and vendor solutions through 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 participating in design reviews, code reviews, and peer coaching.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Computer Engineering, or a related discipline, or equivalent practical experience.
- At least 3 years of hands-on experience building and delivering production software applications, preferably including cloud-hosted AI or data-intensive solutions.
- Strong Python skills and experience with at least one modern front-end framework such as React, with the ability to build user interfaces and back-end services.
- Experience with API engineering, enterprise integration, database or storage integration, object-oriented and modular design, source control, and automated testing.
- Practical cloud-native engineering experience with 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 across business, data science, engineering, architecture, governance, and external delivery teams.
- Experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Machine Learning, Document Intelligence, content understanding, or comparable cloud AI services is an asset.
- Experience with Databricks, MLflow, Spark, Unity Catalog, or Databricks generative-AI and retrieval capabilities is an asset.
- Experience with Microsoft Agent Framework, Semantic Kernel, LangChain, LangGraph, or MCP is an asset.
- Knowledge of CI/CD, GitLab, Azure DevOps, Kubernetes, infrastructure as code, and automated security or quality controls is an asset.
- Experience in financial services, insurance, or another regulated industry is an asset.
Benefits
- Permanent full-time employment with location flexibility in Toronto, London, or Winnipeg and a hybrid work arrangement.
- Career advancement opportunities, industry-leading learning programs, and up to $2,000 annually toward education reimbursement.
- Flexible health and dental benefits plus a $5,000 mental health benefit.
- Vacation and personal days plus a volunteer day supporting community involvement.
- Company-matching pension plan, share ownership program, and additional investment options.
- Employee recognition programs, service milestone celebrations, employee discounts, Employee Resource Groups, mentorship programs, social clubs, and events.
Tech Stack
Categories
About The Canada Life Assurance Company
The Canada Life Assurance Company provides life, health, disability, and group benefits insurance, plus retirement and wealth management products for individuals and employers across Canada. It generates revenue through premiums, investment management fees, and group plan administration. Headquartered in Toronto, it is a subsidiary of Great-West Lifeco and part of the Power Corporation group of companies, serving both retail and workplace markets nationwide.