Build Generative AI applications at Morgan Stanley in Montreal using Python, APIs, and practical software engineering expertise. Collaborate across business and technology teams.

As an Applied AI Engineer, you will accelerate Generative AI use cases across Morgan Stanley. The work combines discovery discussions, prototype development, testing, and application integration. You will also support sponsoring application development teams with practical implementation guidance.

Key Responsibilities:

- Participate in discovery discussions with business and technology teams
- Build and test Generative AI prototypes
- Integrate AI capabilities with existing applications
- Support sponsoring application development teams during implementation




- Translate requirements into working software collaboratively

Requirements:

- Three to five years of software engineering experience
- One to three years developing practical Generative AI applications
- Proficiency in Python, APIs, integrations, and enterprise applications
- Knowledge of LLMs, prompt engineering, embeddings, vector databases, and RAG
- Robust communication, collaboration, and problem-solving skills

Apply software engineering, Python, and Generative AI development skills to practical applications supporting Morgan Stanley teams in Montreal.

📌 Generative AI Application Engineer (Montreal)
🏢 Saransh
📍 Montreal