AI Development Solution Engineering Specialist (Hybrid)

Morgan Stanley; Montreal (administrative region); Hybrid; CAD 85,000 - 120,000; Full time

Job summary

Morgan Stanley in Montreal is seeking an AI Development Solution Engineering Specialist to partner with business teams to design, deliver, and scale production-ready AI agents on the firm’s AI Development Platform.

The role is Software Engineering III at Associate level, requiring 3+ years in software engineering, strong Python skills, and experience with agentic tooling. Hybrid work in Montreal combines remote work and office presence.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• At least 3 years of software engineering, solution design, and application development.
• Experience building and deploying AI-enabled or agentic applications for production use.
• Strong proficiency in Python and modular, maintainable code.
• Experience with Claude tooling and agent engineering concepts (tool calls, MCP, orchestration).
• Experience with production observability, cost management, and version control.

Responsibilities

• Partner with business stakeholders to map end-to-end processes and identify where agentic solutions fit.
• Design, build, and deploy production-grade agentic systems using firm platforms and MCP tooling.
• Develop orchestration features including task decomposition, tool integration, and state management.
• Create test sets and metrics to evaluate AI systems against defined success criteria.
• Balance business value with technical complexity and maintainability in designs.
• Embed governance, compliance, and auditability with human approvals and traceability.
• Support production through monitoring, performance validation, and release readiness.
• Contribute reusable frameworks and best practices to accelerate AI adoption.

Skills

Python

SQL

DevOps

CI/CD

Agentic AI

Observability

Version control

Education

Bachelor's or Master's in CS/Engineering

Tools

Claude Agent SDK

Model Context Protocol (MCP)

Claude Code

Codex

GitHub

Bitbucket

Job description

We’re seeking someone to join our team as an AI Development Solution Engineering Specialist to partner directly with business teams to design, deliver, and scale production‑ready AI agents that accelerate adoption of the Firm’s AI Development Platform while establishing reusable patterns that enable broader innovation across the organization.

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. This is a Software Engineering III position at Associate level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.

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

What You'll Do In The Role

• 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.

What You'll Bring To The Role

• 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.

What You Can Expect From Morgan Stanley

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.

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.