Applied AI Platform Engineer

Mawer Investment Management•Calgary, AB

2d•Hybrid

About The Position

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.

Requirements

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
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

Nice To Haves

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

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