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Key skills for this 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.
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.
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Morgan Stanley is seeking a Senior Data Engineering Specialist to build and evolve large-scale data platforms supporting trade reporting, monitoring, and analytics. The role requires extensive distributed data engineerin
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Mumbai, IND
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Mumbai, IND
Montréal, CAN
Montréal, CAN
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.
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 .
Global financial services firm providing investment and banking solutions.
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Senior · 6+ years experience
Hybrid
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