Senior Applied AI Engineer

Public Sector Pension Investment Board • Montreal, QC

3d • Hybrid

About The Position

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.

Requirements

• 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
• High agency and sound judgment in ambiguous, fast-moving environments, with a strong collaborative mindset
• Excellent communication — you can translate between domain experts and engineers and explain complex ideas simply
• Bilingualism: 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)

Nice To Haves

• 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

Responsibilities

• 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 fast from prototype to production and help the team get more out of them
• Advise/Partner closely with investment professionals to build trust, drive adoption, and feed what you learn back into the product

Benefits

• Investment in career development
• Comprehensive group insurance plans
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed