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About the role

  • AI Solutions Engineering Specialist responsible for AI solution development and architecture at Morgan Stanley. Collaborating with teams to deliver cutting-edge AI and multiagent systems.

Responsibilities

  • Design and develop state-of-the-art GenAI and general AI solutions as well as multiagent systems to solve complex business problems
  • Lead the design and architecture of scalable, efficient, and high-performance data systems that support processing of massive datasets of structured and unstructured data
  • Stay up to date with the latest trends in AI, NLP, LLMs and big data technologies
  • Contribute to the development and implementation of new techniques that improve performance and innovation
  • Collaborate with cross-functional teams, including engineers, product owners, and other stakeholders to deploy AI models into production systems and deliver value to the business
  • Translate high-level business requirements into detailed functional, technical and system specifications
  • Responsible for the development, maintenance and support of multiple distributed applications
  • Contributing to 24x7 availability and scalability of the solutions
  • Analyzing existing designs and interfaces and creating design extensions or enhancements
  • Designing and enhancing UIs with a focus on the user experience
  • Testing software designs and solutions (including debugging and troubleshooting)
  • Promote the firm’s values and set an example for team members upholding those values

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related discipline (or equivalent experience)
  • A minimum of 5 years of experience in information technology
  • Hands-on experience developing or integrating AI/ML models into applications
  • Proficiency in one or more programming languages such as Python, or, C#, or JavaScript/TypeScript
  • Experience with GenAI models
  • Experience consuming and building RESTful or event-driven APIs
  • Solid understanding of cloud platforms (Azure, AWS, or GCP) and containerized deployments
  • Familiarity with data pipelines, feature stores, or model lifecycle management
  • Demonstrated experience dealing with big-data technologies and the ability to process, clean and analyse large-scale datasets
  • HTML5 technologies, Typescript, Javascript, Json, CSS, Angular

Benefits

  • Flexible work environment, combining remote work and attendance in the office
  • Ample opportunity to move across the businesses for those who show passion and grit
  • Supportive and inclusive environment

Job type

Full Time

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

AngularAWSAzureCloudGoogle Cloud PlatformJavaScriptPythonTypeScript

Location requirements

HybridMontrealCanada

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