We’re seeking someone to join our team as an Applied AI Engineering Specialist in FICFX to design and scale enterprise-grade GenAI platforms and intelligent workflows that enhance core Institutional Securities applications and business processes.
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Software Engineering position at Vice President level, which is part of the job family responsible for the design, development, delivery and maintenance of software solutions, including application development, systems integration, and platform engineering to support business objectives.
What you’ll do in the role:
- Design and evolve reusable GenAI workflow primitives and services used across Institutional Securities workflows
- Develop AI-powered assistants embedded into core Institutional Securities applications, leveraging agentic and tool-driven workflows
- Define and guide GenAI architecture decisions, including model selection, orchestration patterns, and evaluation strategies
- Establish and evolve LLMOps practices, including evaluation harnesses, prompt/version management, monitoring, and regression testing
- Design and implement controls for entitlements, data security, and PII handling, including usage of open-source models in regulated environments
- Partner with business and platform teams to drive adoption of shared GenAI capabilities across systems and workflows
What you’ll bring to the role:
- At least 1 year of hands-on experience building and operating GenAI systems in production
- At least 6+ years of full-stack or platform engineering experience, with strong proficiency in Python
- Proven experience designing and operating LLM-based systems using patterns such as RAG, tool/function calling, agentic workflows, and structured outputs
- Strong expertise in LLMOps, including evaluation frameworks, prompt/version management, regression testing, observability, and production reliability
- Experience building AI-first document ingestion and extraction pipelines with measurable quality and accuracy
- Experience with coding agents (Claude code, Codex, AMP, CoPilot)
- Advanced experience in retrieval systems, including multi-stage pipelines, vector search, re-ranking, metadata filtering, and evaluation metrics (e.g., recall/precision tradeoffs, MRR, NDCG)
- Practical experience debugging and stabilizing systems through real-world failure scenarios, including model regressions, prompt drift, retrieval degradation, and data quality issues
At Morgan Stanley Montreal, we support the Firm’s global businesses and infrastructure with cutting edge technology and innovation. The multi-faceted and highly technical Montreal team plays a critical role in building and maintaining our leading technology platform, including electronic trading, algorithm trading, cloud engineering, infrastructure, cybersecurity and AI/ML. Morgan Stanley has been rooted in the Montreal community since 2008 and is considered a leading employer among the area’s highly skilled technology talent. There’s ample opportunity to move across the businesses for those who show passion and grit in their work.
All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.
Knowledge of French and English is required.
