Full Time 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. 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 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 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 Can work through ambiguity and turn early-stage ideas into practical prototypes Are excited by AI system design, not just AI usage Care about building systems that are reliable, observable, secure, and maintainable Flexible work environment.

May require shift work and weekends in exceptional circumstances. 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; 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.

We offer a versatile 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. Unlimited vacation days Parental leave top-up Significant community investment contribution via our Employee Matching Program At Mawer, we are committed to fostering a culture of diversity and inclusion.

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. A Human Resources representative will work with applicants who request accommodation or special assistance during the application process. We may use technology for scheduling, communication and screening but we do not use AI for candidate assessment, or selection; 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.

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📌 Applied AI Platform Engineer (Calgary)
🏢 Socket.dev
📍 Calgary