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Applied AI Engineering Specialist (Hybrid)

Morgan Stanley
Montreal, CAN
Full Time
Lead
Hybrid
1 weeks ago
PythonGenAILLMOpsRAGAgentic WorkflowsVector Search
Free

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Role Overview

  • We’re seeking an Applied AI Engineering Specialist in FICFX to design and scale enterprise grade GenAI platforms and intelligent workflows.
  • This is a Lead Software Engineering position at Vice President level.

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.
  • Practical experience debugging and stabilizing systems through real world failure scenarios.

Location and Language

  • All positions are located in Montreal, Quebec.
  • We offer a hybrid work environment.
  • Knowledge of French and English is required.

About Morgan Stanley Montreal

  • Morgan Stanley Montreal supports the Firm’s global businesses with cutting edge technology and innovation.
  • The team plays a critical role in electronic trading, algorithm trading, cloud engineering, infrastructure, cybersecurity and AI/ML.

What You Can Expect From Morgan Stanley

  • Opportunity to work alongside the best and the brightest in an environment where you are supported and empowered.
  • Attractive and comprehensive employee benefits and perks.
  • Ample opportunity to move across the business.

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