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 enter…
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Rating Analyst – Structured Finance, Colorado or Toronto
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Member of Technical Staff - ML Infrastructure Engineer, Post-training
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SeniorVisa sponsorship
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Associate Director - Structured Finance Ratings, Esoteric Assets, New York, Denver, or Toronto
Toronto, Ontario, Canada · Hybrid
$110k–$193k/yr
Senior$1.8B raised
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$80k–$130k/yr
Full-time
bachelor degree
Health benefits, Dental benefits, Mental health benefit, Pension plan, Share ownership program, Education reimbursement
Posted 10d ago
Apply by Aug 21
~40 hrs/week
Responsibilities
The Senior AI Platform Developer designs, builds, and operates an enterprise-grade AI platform to support scalable and secure AI solutions. This role provides technical leadership and develops reusable components, APIs, and engineering patterns to accelerate AI delivery across the organization.
Requirements
Candidates must have at least 5 years of software engineering experience and 3 years of experience in AI, machine learning, or Generative AI. Proficiency in Python, cloud-native development, and modern DevOps practices is required, along with a relevant degree in Computer Science or a related field.
Full job description
Permanent Full Time
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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.
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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). 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.
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 Lifewould like to thank all applicants, however only those who qualify for an interview will be contacted.
#LI-Hybrid
Related keywords
Artificial IntelligenceMachine LearningGenerative AIPythonAzure AI FoundryAzure OpenAIDatabricksVector databasesCI/CDDevOpsInfrastructure as codeAPISDKDistributed systemsObservabilityModel lifecycle
At Canada Life, we’re focused on improving the financial, physical and mental well-being of Canadians. Whether handling policy claims, help growing and protecting clients’ retirement and investment savings, providing workplace mental health support for all employers or helping build stronger communities by investing in community projects, we are committed to putting the customer first in all that we do.
That trust is built on the dedication, skill and energy of our employees and advisors and their commitment to our customers and to our communities.
Canada Life is a subsidiary of Great-West Lifeco Inc. and is a member of the Power Corporation group of companies.
Offices: 330 University Avenue, Toronto, Ontario M5G 1R8, CA · 60 Osborne St N, Winnipeg, Manitoba R3C 1V3, CA
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