We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026. We invest funds for thepension plans of thefederalpublicservice, the Canadian Forces, theRoyal Canadian Mounted Police andthe ReserveForce. Headquartered in Ottawa, PSP Investments has its principal business office in Montréal and offices in New York, London and Hong Kong.

Floyd is PSP's in-house AI platform — a custom analyst built for our investment teams. This role puts you at the frontier of applied AI inside an institutional investor. It's hands-on and high-agency, blending AI engineering with real product sense and close partnership with the people who use what you build.

You will have the chance to shape a flagship AI platform at one of Canada's largest pension investment managers, with direct impact on how investment decisions are researched, with access to frontier models and proprietary data at scale, within a high-caliber, collaborative team. As a Senior Applied AI Engineer, you’ll:

Design and build the core of Floyd's agentic system: prompting, tool use, retrieval across unstructured and structured data, multi-model orchestration and evaluation

Collaborate with our Data Engineers to build the ML and AI-serving pipelines behind Floyd on Databricks — our primary platform for data engineering, data science and AI serving

Develop across the stack: the Floyd Python SDK and its Gradio- and React-based front ends

Keep Floyd production-grade — reliability, latency, cost and monitoring — within the security and data-governance standards of a financial institution

Lean on AI coding agents (Claude Code, Codex) to move rapid from prototype to production and help the team get more out of them

We're looking for a senior engineer who has shipped real AI products and likes working close to the people who use them.

Five (5) years or more building and shipping production software and/or ML systems, ideally in hands‑on, user‑facing roles





Production experience building and deploying LLM applications at scale

Hands‑on experience with agent frameworks, vector databases, model fine‑tuning, and LLM observability and evaluation tooling

Expert in Python (mandatory) and strong in JavaScript/TypeScript — comfortable building both a Python SDK and a Gradio or React front end

Hands‑on experience with Databricks for data engineering, data science and/or model serving. Comfortable across cloud platforms — we run primarily on Azure (Databricks, AKS) and Google Cloud (Vertex AI)

Expert user of AI coding agents such as Claude Code and/or Codex

Experience with tabular data and time‑series manipulation, an asset

Traditional (classical) ML experience beyond LLMs, an asset

Experience in financial services, asset management or capital markets, or with investment‑research workflows, an asset

MLOps and platform experience (CI/CD, containers, Kubernetes/AKS) , an asset

English and French (frequent interactions in English with PSP employees based in our offices in Hong Kong, London and New York, and interactions in French with employees in our local offices in Montreal and Ottawa)

Competitive pension plans

Unlimited access to virtual healthcare services and wellness programs

Gender‑inclusive paid family leave policy: up to 26 weeks for primary caregivers, 5 weeks for secondary caregivers A personalized family‑building support, from pre‑pregnancy to menopause, with available financial assistance

Vacation days available on day one with additional days on milestone service anniversaries, and summer Friday afternoons off A hybrid work model with a mix of in‑office and remote days

*We’re one of Canada’s largest pension investment managers, with CAD$299.7 billion of net assets. We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Canadian Mounted Police and the Reserve Force. We are committed to fostering an environment where experiences and learning opportunities provide you with the platform to grow. #

📌 Applied AI Engineer (Montreal)
🏢 PSP’s Private Debt u0026 Credit Investment (PDCI) group
📍 Montreal