About usWe'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 the pension plans of the federal public service, the Canadian Forces, the Royal Canadian Mounted Police and the Reserve Force. Headquartered in Ottawa, PSP Investments has its principal business office in Montréal and offices in Current York, London and Hong Kong.Capturing and leading complex global investments requires us to work as one to seize valuable opportunities, in close collaboration with some of the world's top companies. At PSP Investments, you'll join a team of motivated and engaged professionals, dedicated to propelling our organization further than ever before.About your roleFloyd is PSP's in-house AI platform - a custom analyst built for our investment teams. It pairs a conversational assistant with purpose-built workflows that turn complex research questions into structured, decision-ready output. Under the hood, Floyd is an agentic system that orchestrates the latest frontier models through the OpenAI, Google (Gemini) and Anthropic (Claude) APIs, routing each task to the right model and breaking big problems into smaller ones it can work through in parallel. It's already changing how investment professionals work day-to-day - and it's still early, with a lot left to build.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'll own problems end to end - from a vague request on the investment floor to a reliable capability running in production - with the autonomy to decide how to get there.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'llDesign and build the core of Floyd's agentic system: prompting, tool use, retrieval across unstructured and structured data, multi-model orchestration and evaluationCollaborate 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 servingDevelop across the stack: the Floyd Python SDK and its Gradio- and React-based front endsKeep Floyd production-grade - reliability, latency, cost and monitoring - within the security and data-governance standards of a financial institutionLean on AI coding agents (Claude Code, Codex) to move fast from prototype to production and help the team get more out of themAdvise/Partner closely with investment professionals to build trust, drive adoption, and feed what you learn back into the productWhat you'll needWe'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 rolesProduction experience building and deploying LLM applications at scaleHands-on experience with agent frameworks, vector databases, model fine-tuning, and LLM observability and evaluation toolingExpert in Python (mandatory) and strong in JavaScript/TypeScript - comfortable building both a Python SDK and a Gradio or React front endHands-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 CodexHigh agency and sound judgment in ambiguous, fast-moving environments, with a strong collaborative mindsetExcellent communication - you can translate between domain experts and engineers and explain complex ideas simplyExperience with tabular data and time-series manipulation, an assetTraditional (classical) ML experience beyond LLMs, an assetExperience in financial services, asset management or capital markets, or with investment-research workflows, an assetMLOps and platform experience (CI/CD, containers, Kubernetes/AKS), an assetBilingualism: 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)BenefitsWe offer a tailored employee experience and competitive total rewards and benefits package* designed to attract and retain global diverse talent, reward performance, and reinforce business strategies and priorities. Beyond salary and incentive pay eligibility, you have access to:Investment in career developmentComprehensive group insurance plansCompetitive pension plansUnlimited access to virtual healthcare service #J-18808-Ljbffr

📌 Senior Applied Ai Engineer (Montreal)
🏢 Investpsp
📍 Montreal