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Job Description
**Be Boring. Make Money.™** is our investment approach, but we are anything but dull. We are a diverse, passionate team united by our commitment to provide our clients with financial peace of mind and our desire to create one of the best companies in the world.
A career with us will be demanding; however, the experience will also be dynamic, supportive, intellectually stimulating, and above all, meaningful. We take pride in doing things a little differently than other investment firms. Innovative ideas, diverse opinions and experiences, and teamwork are expected and rewarded regardless of title or tenure.
Dedicated to our people, we have consistently been recognized as a preferred employer, receiving awards such as Canada’s Top 100 Employers (2026), Alberta Top Employers (2026), and Canada’s Top Small & Medium Employer (2025).
**Full Time Location: Calgary, AB** **Vacancy Status: New Role**
**The Opportunity**
We are seeking an Applied AI Platform Engineer who will be focused on using AI tools to build platforms, systems and recognize patterns that allow teams to use AI safely, reliably, and repeatedly in an enterprise environment. This role will be responsible for taking AI from experimentation into institutional capability by creating AI workflow orchestration, internal data integration, retrieval-augmented generation, agentic workflows, evaluation, observability, human-in-the-loop review, and reusable application patterns.
**Duties and Responsibilities**
- Help design and build Nova’s internal AI platform and application patterns
- Develop reusable components for AI workflows, including retrieval, tool use, structured outputs, orchestration, evaluation, and human review
- Build systems that connect LLMs with internal data, documents, APIs, and business workflows
- Support the development of AI-enabled applications from prototype through production
- Work with Python, APIs, cloud services, data pipelines, application frameworks, and AI development tools
- Explore and evaluate emerging AI frameworks, models, and architectural patterns
- Help define standards for AI application reliability, security, observability, governance, and maintainability
- Build tooling and templates that help other teams create AI-supported applications faster and more safely
- Partner with stakeholders to understand business problems and translate them into scalable technical solutions
- Monitor system quality, cost, latency, and reliability as AI workflows move into broader use
**Desired Qualifications**
- Bachelor’s degree in computer science, engineering, mathematics, data science, or a related technical field
- Approximately 2–5 years of relevant technical experience preferred
- Strong programming ability, preferably in Python
- Experience with APIs, backend services, data pipelines, cloud platforms, or application development
- Exposure to LLMs, RAG, vector databases, orchestration frameworks, machine learning, or AI application development is an asset
- Experience with TypeScript, front-end frameworks, containers, CI/CD, observability, or security practices is helpful
- Financial services or investment management experience is helpful but not required
- Experience in software engineering, data engineering, machine learning engineering, platform engineering, or applied AI
- Experience with Python and are comfortable building services, APIs, pipelines, or internal tools
- Strong communication and problem-solving skills, with the ability to work independently and collaboratively in high-performance teams
- Experience in fast-paced, agile environments—comfortable with rapid experimentation, iteration, and problem-solving
- Have a builder’s mindset and enjoy working in a small, fast-moving team inside a disciplined investment firm
- Can work through ambiguity and turn early-stage ideas into practical prototypes
- Are excited by AI system design, not just AI usage
- Can learn new frameworks, tools, and architectures quickly
- Understand or are eager to learn LLM application patterns such as RAG, agents, tool calling, embeddings, model evaluation, and workflow orchestration
- Care about building systems that are reliable, observable, secure, and maintainable
- Flexible work environment. May require shift work and weekends in exceptional circumstances.
**Why Mawer?**
- Directly contribute to the firm’s growth as a global, independent investment manager.
- Learn and work within a high-performing team that has consistently delivered exceptional long-term investment results and high levels of client satisfaction.
- Be a part of a meritocracy in which the quality of ideas supersedes hierarchy; where every role is valued, and every voice heard. At Mawer, talented team members can progress quickly, regardless of tenure or experience.
- Our unique culture, which is integral to who we are and (we think) a competitive advantage. Our culture is shaped by our core values (integrity, putting clients’ interests first, excellence, teamwork, and long-term thinking) and key behaviours (curiosity, candour, accountability, and appreciation), which are much more than words on a page. They guide the way we operate, make decisions, and communicate every day.
- We offer a flexible work environment with a blended workplace approach tailored to the unique needs of each department and team. This allows employees to seamlessly combine in-person and remote work experiences, fostering collaboration, promoting work-life integration, and empowering our team members to thrive in a dynamic, interconnected professional setting.
**Our Benefits and Perks Include:**
- Comprehensive health and wellness benefits
- Unlimited vacation days
- Retirement planning assistance, including RSP contributions
- Annual learning stipend
- Parental leave top-up
- Significant community investment contribution via our Employee Matching Program
To apply, please submit your resume, cover letter, and application by July 24, 2026, to: https://www.mawer.com/careers/
*All candidates must be eligible to work in Canada.*
We believe experience comes in many forms and we’re committed to adding new perspectives to our team. If your experience is close to what we’ve outlined, we encourage you to apply.
At Mawer, we are committed to fostering a culture of diversity and inclusion. We strive to attract, hire, develop, and retain the best people from a wide variety of backgrounds/experiences and create an environment where unique ideas and perspectives are heard and valued. We believe a diverse and inclusive culture fuels innovation and enables more effective decision-making across the firm, helping to improve investment performance, strengthen client partnerships, and create more value for all stakeholders: clients, employees, owners, and society.
We administer all practices and programs without discrimination and strive to provide equal access to employment. A Human Resources representative will work with applicants who request accommodation or special assistance during the application process. If you need accommodation or assistance, please contact us at hraccommodation@mawer.com.
Our processes are people-driven. We may use technology for scheduling, communication and screening but we do not use AI for candidate assessment, or selection; those decisions are made by our team.
**About Mawer**
Established in 1974, Mawer Investment Management Ltd. is an independent firm that provides world-class, global investment management services to a broad range of institutional and individual clients. We are proud of our reputation as one of Canada’s most respected investment management firms and strive to earn such respect by continually delivering long-term investment excellence, developing strong client partnerships, and living our core values.
**** ***No telephone inquiries please.*** ***We thank all applicants and advise that only those selected for an interview will be contacted.***
Key Responsibilities
Design and build internal AI platform and application patterns
Develop reusable components for AI workflows including retrieval, tool use, and orchestration
Build systems connecting LLMs with internal data, documents, APIs, and business workflows
Support development of AI-enabled applications from prototype through production
Define standards for AI application reliability, security, observability, and governance
Build tooling and templates to help other teams create AI-supported applications
Partner with stakeholders to translate business problems into scalable technical solutions
Monitor system quality, cost, latency, and reliability for AI workflows
Requirements
Bachelor's degree in computer science
engineering
mathematics
data science
or a related technical field
Skills Required
PythonAPIsBackend servicesData pipelinesCloud platformsApplication developmentLLMsRAGVector databasesOrchestration frameworksCommunicationProblem solvingAbility to work independentlyCollaborationAbility to work in high-performance teamsComfort with ambiguityFlexibilityTypeScriptFront-end frameworksContainersCI/CDObservabilitySecurity practicesMachine learningAI application developmentBuilder's mindsetAdaptabilityQuick learning
Benefits
Comprehensive health and wellness benefits
Unlimited vacation days
Retirement planning assistance including RSP contributions
Annual learning stipend
Parental leave top-up
Employee Matching Program for community investment
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