AI Development Solution Engineering Specialist (Hybrid)

Partner with business stakeholders to understand end-to-end processes, identify manual or inefficient activities, and determine whether an agentic solution is appropriate.

Design, build, and deploy production-grade agentic systems using firm platforms, the Claude Agent SDK, and Model Context Protocol (MCP) tooling.

Develop agent orchestration capabilities including task decomposition, tool integration, context management, state management, and long-running workflows.

Establish evaluation frameworks by creating test sets with business subject matter experts, defining performance metrics, and measuring outcomes against agreed success criteria.

Design solutions that balance business value, technical complexity, maintainability, and operational support requirements.

Embed governance, compliance, and auditability controls, including human approvals, policy enforcement, and traceable audit records.

Support production implementation through monitoring, observability, performance validation, scalability planning, and release readiness activities.

Contribute reusable frameworks, documentation, best practices, and technical guidance to accelerate AI adoption across engineering teams.

Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

At least 3 years of experience in software engineering, solution design, and application development.

Experience building and deploying AI-enabled or agentic applications for production use.

Strong proficiency in Python, including development of modular, reusable, and maintainable software components.

Strong proficiency in leveraging agentic coding tools like Claude Code, Codex and similar.

Working knowledge of agent engineering concepts, including tool/function calling, MCP, retrieval techniques, prompt management, and orchestration patterns.

Experience evaluating AI systems through automated testing, model-based assessment, regression testing, and test-set development.

Familiarity with operating AI systems in production environments, including observability, tracing, reproducibility, cost management, and version control.

Experience with data engineering (including SQL and at least one non-relational or large-scale data store)

Experience in DevOps, CI/CD practices, Git-based repositories (ex. GitHub, Bitbucket), and data governance, privacy, and security requirements.

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.

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 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 opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo .