AI Development Solution Engineering Specialist (Hybrid)

PowerToFly; Montreal (administrative region); On-site; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work environment

Job summary

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

The role is in the Technology division as a Software Engineering III at Associate level. A hybrid work environment is offered in Montreal, Quebec, with required French and English language skills for collaboration and governance.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 3+ years of software engineering, solution design, and application development.
• Experience building and deploying AI-enabled or agentic applications for production use.

Responsibilities

• Partner with business stakeholders to understand end-to-end processes and identify agentic solutions.
• Design, build, and deploy production-grade agentic systems using firm platforms and MCP tooling.
• Develop agent orchestration capabilities including task decomposition, tool integration, and context management.
• Establish evaluation frameworks with business SMEs and define performance metrics.

Skills

Python

Claude Code

Codex

Agentic concepts

SQL

DevOps

CI/CD

Observability

Education

Bachelors or Masters in CS/Engineering

Tools

Claude Agent SDK

MCP tooling

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:

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. 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.