AI Solution Engineering Specialist (Hybrid)

Morgan Stanley; Montreal; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

Morgan Stanley is seeking an AI Solution Engineering Specialist in Montreal to enhance its AI capabilities. This role involves developing GenAI applications, collaborating with teams on best practices, and facilitating a hybrid working environment, blending remote and on-site efforts.

Benefits

Comprehensive employee benefits

Hybrid work environment

Qualifications

• 8 - 12 years of experience in software engineering.
• Experience developing GenAI applications.
• Ability to articulate technical concepts effectively.

Responsibilities

• Build proofs of concept for developers to leverage GenAI models.
• Collaborate with AI engineers on platform roadmaps.
• Troubleshoot customer adoption of GenAI platform capabilities.

Skills

Python

AI techniques

Machine Learning

Deep Learning

Data Engineering

DevOps

Education

Bachelor's or Master's degree in Computer Science

Tools

Numpy

Scikit-Learn

TensorFlow

PyTorch

GitHub

Job description

AI Solution Engineering Specialist (Hybrid)

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AI Solution Engineering Specialist (Hybrid)

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Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm’s Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation, enabling teams to build applications that leverage AI capabilities and accelerate the adoption of AI across our businesses.

This role is for a solution engineering specialist to work with GenAI application owners to adopt GenAI platform capabilities and develop patterns and best practices to enable GenAI application adoption at scale.

The ideal candidate will have strong knowledge and experience on deep learning, contemporary model architectures and a strong drive to solve real-world problems with AI techniques. They will have hands-on experience developing GenAI applications and can leverage their expertise to enable firmwide developers to adopt AI techniques at scale through documentation, consultation, collaborative proof of concepts and sample code development.

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.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

What You'll Do In The Role

• Build proof of concepts and example code through which developers can leverage GenAI models to solve common problems or patterns to enable GenAI adoption at scale
• Develop prototypes to demonstrate model capabilities, advanced usage patterns.
• Collaborate with AI engineers to prioritize capabilities for firmwide platform roadmap
• Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain, and Sematic Kernel.
• Troubleshoot customer adoption of genAI platform capabilities; update user documentation and provide feedback to platform engineering teams to improve future customer experience
• This is a customer-facing role and excellent soft communications skills are mandatory.
• Have an application developer mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models.
  
  

What You'll Bring To The Role

• Bachelor’s or a master’s degree in computer science or related field, or equivalent job experience
• 8 - 12 years of experience in software engineering, design, and development
• Experience developing GenAI applications
• Strong hands-on proficiency in Python and machine learning specific libraries like numpy, opencv, scikit-learn, pandas, matplotlib, seaborn, etc.
• Understanding of AI/ML Lifecycle and basic understanding of systems like mlflow, Dataiku, databricks.
• Broad understanding of data engineering (SQL, NoSQL, Big Data), data governance, data privacy and security
• Demonstrated experience in DevOps, understanding of CI/ CD. Hands on experience with managing code in code repositories such as Bit Bucket and GitHub.
• Understanding of how deep learning works, understanding of Machine Learning frameworks such as TensorFlow or PyTorch
• Ability to articulate technical concepts effectively to diverse audiences. Excellent communication skills.
• Strong desire and ability to influence development teams and help them adopt AI.
• Demonstrated ability to work effectively and collaboratively in a global organization, across time zones, and across organizations
  
  

Nice to have

• Experience working with application development teams to enable them to build AI based applications.
• Ability to create code samples to be shared with application teams.
• Experience working with cloud providers, preferably Azure, but also AWS, GCP
• Experience building applications using AI development services on prominent cloud platforms such as Azure Open AI, Azure AI Foundry, Azure Search, Azure Cognitive Services, AWS Bedrock, AWS Sagemaker, Google Vertex AI
• Experience working in a large, regulated industry such as Financial Services, Insurance etc.
• Experience building AI applications, preferably Generative AI and LLM based apps.
• Experience working with Generative AI development, embeddings, fine tuning of Generative AI models.
• Understanding of Model Ops/ ML Ops/ LLM Ops
  
  

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.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.

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.

Build a career with impact. Visit morganstanley.com for more information

What You Can Expect From Morgan Stanley

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Temporary

Job function

• Job function

  Sales and Business Development

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