Developer Engagement Lead – AI Coding Tools (Hybrid)

We’re seeking someone to join our team as a Developer Engagement Lead – AI Coding Tools in Application & Infrastructure to drive firmwide adoption of AI-powered development capabilities, helping engineers maximize productivity, quality, and risk-aware usage while shaping the future software development experience across Morgan Stanley. 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 Lead Cloud & Infrastructure Engineering at Director level, which is part of the job family responsible for managing and optimizing technical infrastructure and ensuring the seamless operation of IT systems to support business needs effectively Since 1935, Morgan Stanley is known as a global leader in financial services, always 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: Lead demos, workshops, office hours, and enablement sessions to help developers effectively adopt AI coding tools. Partner with engineering teams to identify practical use cases for AI across software development, testing, refactoring, documentation, and code review activities. Develop reusable examples, best practices, and guidance that accelerate adoption and improve developer productivity. Gather and synthesize developer feedback, translating insights into actionable recommendations for platform, tooling, and product teams. Establish clear guidance for the responsible and effective use of AI coding tools within a regulated enterprise environment. Partner with engineering leaders to remove adoption blockers, define success measures, and promote proven usage patterns across teams. Advocate for developer needs by collaborating with platform, risk, training, tooling, and leadership stakeholders, while fostering a network of AI champions. Contribute to adoption strategy through enablement content, rollout planning, usage analysis, and the identification of emerging opportunities, risks, and success stories. What You Bring to the role: At least 6+ years of software development experience with exposure to modern engineering workflows, including pull requests, CI/CD, and developer tooling. Hands-on experience with AI coding tools such as GitHub Copilot, Codex, Cursor, Claude Code, or similar technologies. Ability to assess where AI coding tools drive value and where additional controls, oversight, or human judgment are required. Familiarity with enterprise software development lifecycle (SDLC) practices and regulated technology environments. Strong presentation and facilitation skills, with the ability to lead demos, workshops, office hours, and enablement sessions for diverse audiences. Excellent written and verbal communication skills, with the ability to synthesize feedback and usage trends into practical recommendations. Proven ability to build credibility and trusted relationships with engineers through a practical, technically grounded approach. Enthusiasm for AI-powered developer tools, combined with a collaborative mindset, curiosity, adaptability, and a bias toward action and experimentation. 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