Senior AI Platform Developer

Canada Life; Toronto; On-site; CAD 80,000 - 130,000; Full time

Benefits offered by this job

Education reimbursement

Health and dental benefits

Mental health benefit

Volunteer day

Pension plan

Job summary

Canada Life is actively developing an enterprise AI platform to securely scale AI solutions across the organization. The Senior AI Platform Developer will design, build, and operate reusable capabilities, shared services, and platform components that enable reliable AI delivery with strong security and observability.

This role provides senior technical leadership, hands-on engineering, and mentorship to developers and delivery teams, without formal people management responsibilities.

Qualifications

• Degree in Computer Science, Software Engineering, Data Science, or a related discipline, or equivalent practical experience.
• 5+ years of software engineering experience.
• 3+ years of experience developing AI, ML, or Generative AI solutions.
• Strong experience with Python, APIs, cloud native development, distributed systems, and modern software practices.
• Experience with Azure AI Foundry, Azure OpenAI, Databricks, vector databases, or similar platforms.
• Experience with DevOps, CI/CD, infrastructure as code, automated testing, and secure software delivery.
• Understanding of AI observability, evaluation, prompt evaluation, monitoring, and operational support.
• Ability to translate architectural direction into practical reusable components.
• Strong collaboration, communication, and problem solving in a matrixed environment.
• Experience in financial services or regulated industries is an asset.

Responsibilities

• Design, develop, and maintain enterprise AI platform capabilities and reusable components.
• Build accelerators, APIs, SDKs, templates, and reference implementations for consistent AI delivery.
• Implement model integration, orchestration, RAG, prompt management, and lifecycle support.
• Develop automation and CI/CD patterns for AI solutions.
• Support integration of AI platforms with data, identity, security, monitoring, and infra services.
• Partner with solution delivery, architecture, security, cloud, and data teams to onboard priority use cases.
• Implement observability, telemetry, monitoring, and operations patterns for AI in production.
• Contribute to engineering standards, platform roadmaps, and reusable design patterns.
• Evaluate emerging AI technologies and recommend practical enhancements.

Skills

Python

APIs

Cloud native

Distributed systems

AI/Generative AI

DevOps/CI/CD

AI observability

Collaboration

Education

Degree in Computer Science or related field

Equivalent practical experience

Tools

Azure AI Foundry

Azure OpenAI

Databricks

Vector databases

Model serving platforms

Job description

Permanent Full Time

Canada Life has an ambition to apply human led AI to innovate, elevate customer service, and accelerate growth across the organization. Achieving this ambition requires a secure, scalable, and enterprise grade AI platform that enables teams to build, deploy, and operate AI solutions efficiently and responsibly.

Reporting to the Director, AI Platform Engineering, the Senior AI Platform Developer plays a key role in designing, building, and operating the enterprise AI platform. This role is accountable for developing reusable AI capabilities, shared services, engineering patterns, and platform components that accelerate AI solution delivery while supporting security, reliability, observability, and compliance expectations.

This role provides senior technical leadership, hands on engineering expertise, and mentorship to developers and delivery teams, without requiring formal people management accountability.

What you will do

• Design, develop, and maintain enterprise AI platform capabilities, services, and reusable technical components.
• Build shared accelerators, APIs, SDKs, templates, and reference implementations that enable consistent AI solution delivery across the enterprise.
• Implement platform capabilities for model integration, orchestration, retrieval augmented generation, prompt management, agent frameworks, and model lifecycle support.
• Develop automation and CI/CD patterns for building, testing, deploying, and operating AI based solutions.
• Support the integration of AI platforms with enterprise data, identity, security, monitoring, and infrastructure services.
• Partner with AI solution delivery, architecture, security, cloud, infrastructure, and data teams to onboard and support priority AI use cases.
• Implement observability, evaluation, telemetry, monitoring, and operational support patterns for AI solutions in production.
• Contribute to AI engineering standards, platform roadmaps, technical documentation, and reusable design patterns.
• Evaluate emerging AI technologies and recommend practical enhancements to enterprise platform capabilities.
• Mentor developers and help raise engineering quality through code reviews, technical guidance, and hands on support.

What you will bring

• Degree in Computer Science, Software Engineering, Data Science, or a related discipline, or equivalent practical experience.
• 5 or more years of software engineering experience, with strong hands on development capability.
• 3 or more years of experience developing AI, machine learning, advanced analytics, or Generative AI solutions.
• Strong experience with Python, APIs, cloud native development, distributed systems, and modern software engineering practices.
• Experience with Azure AI Foundry, Azure OpenAI, Databricks, vector databases, model serving platforms, or similar technologies.
• Experience with DevOps, CI/CD, infrastructure as code, automated testing, and secure software delivery practices.
• Understanding of AI observability, model evaluation, prompt evaluation, monitoring, and operational support practices.
• Ability to translate architectural direction into practical, reusable engineering components.
• Strong collaboration, communication, and problem solving skills in a matrixed environment.
• Experience in financial services or another regulated industry is an asset.

The base salary for this position is between $80,400 - $130,400 annually. This represents base salary only and does not represent other variable compensation components of our total compensation ( i.e. annual bonus, commission etc).

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

• 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 additionalinvestment 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 [e-mail]. 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.