Morgan Stanley

AI Development Solution Engineering Specialist (Hybrid)

Morgan Stanley$100K — $120K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent experience
  • At least 3 years of experience in software engineering and application development
  • Experience building AI-enabled or agentic applications for production
  • Strong proficiency in Python for modular software development
  • Familiarity with agentic coding tools like Claude Code and Codex
  • Experience with automated testing and model evaluation of AI systems
  • Knowledge of data engineering including SQL and data governance practices

Responsibilities

  • Partner with business stakeholders to analyze processes and identify inefficiencies
  • Design and deploy production-grade AI systems using the firm's platforms
  • Develop capabilities for task decomposition and long-running workflows
  • Establish evaluation frameworks with performance metrics to measure success
  • Create solutions that balance business value and technical complexity
  • Embed governance and compliance controls within AI solutions
  • Support production implementation and ensure scalability planning
  • Contribute to documentation and best practices for AI adoption across teams

Benefits

  • Hybrid work environment with options for remote work
  • Opportunities to contribute to innovative projects
  • Access to advanced AI development tools and platforms
  • Supportive team culture focused on professional growth
  • Engagement with diverse business stakeholders and technical teams
Full 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.

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.

About Morgan Stanley

Morgan Stanley Investment Management are active managers of capital, working to outperform the market and deliver results for their clients. Morgan Stanley Investment Management's long-tenured professionals apply their experience and expertise across public and private markets, in single-sector, multi-asset and custom solutions.

Morgan Stanley Careers

Joining Morgan Stanley today means becoming part of a global team dedicated to strengthening communities, pioneering innovation, and fostering diversity. As a leading global financial services firm, Morgan Stanley offers unparalleled job opportunities, career growth, and a culture of leadership that together create an exceptional employment experience. Work You’ll Do At Morgan Stanley, you will collaborate with knowledgeable professionals to drive innovation and deliver solutions in financial services. Our team is composed of diverse, talented individuals who bring their unique skills and perspectives to work every day, setting the standard for leadership in the global market. Morgan Stanley is not just a company; it's a place where ambitious, creative, and skilled individuals can build a rewarding career. Here, you can experience the benefits of a vibrant culture dedicated to professional growth and diversity training. Internship Programs Kickstart your career with Morgan Stanley’s internship programs. These positions offer invaluable industry insights and professional experience to students and recent graduates. Interns at Morgan Stanley gain hands-on experience, working alongside seasoned experts in a dynamic, supportive environment. Innovation and Professional Growth We believe in the power of innovation to solve complex problems and encourage our team to think differently and act boldly. Morgan Stanley supports your career development through comprehensive training, development programs, and leadership workshops, ensuring that every employee has the tools they need to succeed. Join Our Team Explore the various job opportunities at Morgan Stanley, from entry-level positions to executive roles. We are hiring individuals who are passionate about finance and eager to contribute to a team that values integrity, excellence, and a forward-thinking mindset. Enhance your skills through our networking events, mentorship opportunities, and ongoing professional development. Stay Connected Keep up to date with the latest from Morgan Stanley Careers by subscribing to our job alert emails. Tailor your preferences to receive updates about new postings, career tips, and exclusive insights from our team leaders. Apply Now Ready to take the next step in your career? Search open positions that match your skills and interests on the Morgan Stanley Jobs portal. Prepare your resume, refine your interview techniques, and join a company that values innovation and leadership. At Morgan Stanley, we’re not just building careers—we’re developing leaders. Discover how far your talents can take you by joining our team today.
Learn more about Morgan Stanley
Size
77,000 employees
Market Cap
$144.1 billion
Industry
Net Income
$10.9 billion
Founded
1935
5 Year Trend
+10%
Revenue
$52 billion
NASDAQ

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