Opportunity Description
Shape the future of AI at Morgan Stanley as an Applied AI Engineering Specialist in Montreal, Quebec. Engage in developing GenAI workflows and embedded AI assistants in a hybrid work setting.
This role requires at least one year of hands-on experience with GenAI systems and six years of full-stack or platform engineering expertise, especially in Python. You will define GenAI architecture, establish LLMOps practices, and collaborate with business teams to enhance AI capabilities across systems.
Key Responsibilities:
• Design reusable GenAI workflow primitives
• Develop AI-powered assistants for Institutional Securities
• Guide GenAI architecture decisions and model selection
• Establish LLMOps practices for monitoring and testing
• Partner with teams to drive GenAI adoption
Requirements:
• 1+ year experience with GenAI systems in production
• 6+ years full-stack or platform engineering experience
• Proficiency in Python and LLM-based system design
• E...
This role requires at least one year of hands-on experience with GenAI systems and six years of full-stack or platform engineering expertise, especially in Python. You will define GenAI architecture, establish LLMOps practices, and collaborate with business teams to enhance AI capabilities across systems.
Key Responsibilities:
• Design reusable GenAI workflow primitives
• Develop AI-powered assistants for Institutional Securities
• Guide GenAI architecture decisions and model selection
• Establish LLMOps practices for monitoring and testing
• Partner with teams to drive GenAI adoption
Requirements:
• 1+ year experience with GenAI systems in production
• 6+ years full-stack or platform engineering experience
• Proficiency in Python and LLM-based system design
• E...
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