Job Description
Software Developer (Applied AI)
You will be working on a 100% remote schedule as part of Fidelity’s dynamic working arrangement.
Current work authorization for Canada is required for all openings.
At Fidelity, we’ve been helping Canadian investors build better financial futures for over 35 years. We offer individuals and institutions a range of trusted investment portfolios and services - and we’re constantly seeking to find new and better ways to help our clients. As a privately owned company, we boldly embrace innovation in all areas as we continue to grow our business into the future.
Working with us means you’ll be part of a diverse and dedicated group of people who make a real difference for our clients and communities every day. You’ll have a wide range of opportunities to grow and develop your career in an inclusive environment where you’ll feel valued and supported to be your best - both personally and professionally.
What You Will Do
The Software Developer, Applied AI reports to the Manager, Applied AI and is responsible for designing, building, testing and deploying practical, secure and governed AI solutions for Fidelity Investments Canada. The role has a strong focus on generative AI, agentic AI and modern software engineering, while contributing to reusable Applied AI foundations that can be scaled across multiple business use cases.
This is a hands-on engineering role for someone who is passionate about emerging technology and enjoys turning rapidly evolving AI capabilities into practical, production-ready solutions. The successful candidate will work directly with business and technology partners to understand problems and opportunities, translate them into AI use cases, rapidly experiment with potential solutions and mature successful prototypes into reliable enterprise applications.
The role will also work closely with the Manager, Applied AI, Fidelity International, Architecture, Security and AI Governance to ensure solutions are scalable, observable, secure and governed, while maintaining flexibility across models, technology platforms and vendors.
What You Will Do
- Partner directly with business, product and technology teams to understand business problems and translate them into well-defined AI use cases and technical requirements; build rapid prototypes and proofs of concept and develop successful ideas into production-quality AI and agentic applications, APIs and services.
- Build and extend Applied AI foundations, including reusable patterns for model access, RAG and enterprise knowledge, agent orchestration, tool use, evaluation, observability and deployment. Develop cloud-native components using technologies such as AWS, Snowflake and Kubernetes.
- Design modular and portable AI components that preserve strategic flexibility across models, frameworks and vendors, and collaborate with Fidelity International and Architecture teams to reuse and extend enterprise capabilities where appropriate.
- Apply modern agentic engineering practices, including prompt and context engineering, LLMs, APIs, tools, memory, RAG, workflow orchestration, evaluations, guardrails and observability.
- Build AI solutions with security and governance embedded from the beginning, working closely with AI Governance, Security, Privacy, Risk and Architecture on data access, model and tool usage, human oversight, traceability, monitoring and other required controls.
- Continuously evaluate emerging foundation models, agent frameworks and AI engineering techniques through hands-on experimentation. Assess technologies based on capability, security, governance, interoperability, performance, cost and operational complexity, and turn promising approaches into reusable production patterns.
- Apply strong software engineering practices across AI applications, including automated testing, CI/CD, security and quality gates, resilient design, error handling, monitoring, logging, fallbacks and cost management.
- Support production AI services through observability, root-cause analysis and continuous improvement, monitoring application health as well as model and agent quality, latency, errors and cost.
- Contribute to a strong Applied AI engineering culture through design and code reviews, technical discussions, documentation, reusable examples, knowledge sharing and collaboration across business, data, architecture, security, governance and international teams.
The Expertise You Bring
- Strong expertise with advanced Python skills for developing and supporting production-grade APIs, services, and applications.
- Experience building and deploying scalable cloud-native solutions using AWS, Snowflake, and Kubernetes.
- Proficiency in API development, microservices architecture, containerization, CI/CD pipelines, Infrastructure as Code (IaC), and automated testing.
- Knowledge of Java and/or JavaScript is considered an asset.
- Strong understanding of Machine Learning, Generative AI, and Agentic AI Engineering principles and practices.
- Hands-on experience with LLMs, Retrieval-Augmented Generation (RAG), agent orchestration, tool integration, and prompt/context engineering.
- Experience with AI evaluation, observability, monitoring, performance optimization, and cost management.
- Familiarity with MLOps/LLMOps, including model and agent lifecycle management and evaluation frameworks.
- Knowledge of AI security, privacy, responsible AI, and governance-by-design principles.
- Excellent communication, stakeholder management, analytical problem-solving, and continuous learning capabilities, with the ability to collaborate effectively across technical and business teams.
What We’re Looking For
- Degree in Computer Science, Software Engineering, Economics or Mathematics or equivalent working experience
- 2+ years of experience in software development, preferably in the financial services/mutual fund/investment industry
- Candidates should have demonstrated hands-on experience delivering production software solutions, with practical experience in AI/ML, generative AI or agentic applications strongly preferred.
- AWS certification or equivalent hands-on cloud experience is considered an asset.
- Experience working within Agile or Scrum environments is an asset.
Total Rewards That Reflect Your Impact
We believe exceptional work deserves exceptional recognition. That’s why we offer a competitive compensation package designed to support your success today - and your financial well-being tomorrow.
For this role, your total rewards include:
- Base Salary and Discretionary Performance Bonus: Total annual cash compensation (base salary plus target bonus) ranges from $101,000 to $118,000, based on your experience and qualifications.
- RRSP Contribution: After 6 months of employment, we invest in your future with an RRSP contribution - no employee matching required.
We’re proud to offer a compensation package that aligns with provincial pay transparency requirements.
This posting represents an existing vacancy within our organization - an opportunity to step into a role where your talents will make a meaningful difference.
Some of the ways we will help you feel valued and supported as part of our team:
- Flexible working arrangements that vary based on role requirements
- Competitive total compensation, including company contributions to your group RRSP without a matching requirement from you
- Comprehensive health benefits that start on your first day, with 100% employer-paid premiums, that include up to $6000 annually for mental health services and therapy
- Parental leave top-up to 100% of your salary for a period of 25 weeks
- Up to $650 for home office equipment
- Generous time off policy, including 2 paid days annually to volunteer at a charity of your choice
- Diversity and inclusion programs, including an active network of Employee Resource Groups
- Extensive professional development opportunities, including access to over 11,000 training and development courses, tuition reimbursement, and monetary rewards for completing a required designation
We care a lot about fostering a compassionate, people-centric culture, and are proud to have been named one of Canada’s Top 100 employers for the last five years.
We use AI-enabled LinkedIn Hiring Assistant to support parts of our sourcing process as well as an AI screening tool that assists in screening and assessing applications. Every hiring decision is reviewed and finalized by our recruiters. If you choose to ask questions to the LinkedIn HR Hiring Assistant, please be mindful that the responses are not official and must be confirmed for accuracy and completeness by Fidelity. If you are selected for an interview, the recruiter who contacts you can best answer your questions.
Fidelity Canada is an equal opportunity employer
Fidelity Canada is committed to fostering a diverse and inclusive workplace. We will consider all qualified applicants for employment regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, age, disability, family status, protected veterans’ status, Aboriginal/Native American status or any other legally-protected ground.
Accommodation during the application process
Fidelity Canada welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in the selection process. If you require an accommodation, please email us at FidelityCanadaStaffing@fidelity.ca.
No telephone inquiries or agencies please. We thank all applicants for their interest, please be advised that only those selected for an interview will be contacted.
Why Work at Fidelity?
We are proud to be recipients of the following:
Awards
• Canada's Top 100 Employers
o Greater Toronto's Top Employers
o Canada's Top Family-Friendly Employers
o Canada's Top Employers for Young People
• Great Place To Work® Certified
o Best Workplaces for Inclusion
o Best Workplaces for Mental Wellness
o Best Workplaces for Today's Youth
o Best Workplaces for Women
o Best Workplaces in Financial Services & Insurance
o Best Workplaces in Ontario
o Best Workplaces with Most Trusted Executive Teams
• LinkedIn Top Companies in Canada
• Human Resource Director (HRD) - Best Place To Work
o HRD - 5-Star Benefit Program
o HRD - 5-Star Diversity & Inclusion Employer
Designations
• Canadian Compassionate Companies – Certified
• Benefits Canada's Workplace Benefits Award - Future of Work Strategy
• TalentEgg National Recruitment Excellence Award - Special Award for Diversity & Inclusion in Recruiting
• Canadian HR Reporter's Most Innovative HR Team
