About this role
Salary: £68,000 - 108,000 per year
Requirements: Software development experience with exposure to modern engineering workflows such as PRs, CI/CD, and developer toolingPractical experience with AI coding tools such as GitHub Copilot, Codex, Cursor, or Claude CodeAbility to evaluate where AI tools add value and where they introduce riskFamiliarity with enterprise SDLC practices or regulated technology environments is a plusComfort leading demos, workshops, and enablement sessions for varied audiencesClear, credible written and verbal communicationAbility to synthesize feedback and usage patterns into recommendationsSkill in building trust with engineers by being honest, practical, and technically groundedGenuine enthusiasm for AI coding tools and curiosity about how developers workBias toward action, experimentation, and practical outcomesComfort with evolving tools, policies, and best practicesCollaborative approach across teams, regions, and experience levels Responsibilities: Engage developers through demos, workshops, office hours, and enablement sessionsHelp teams identify practical use cases for AI coding tools across coding, testing, refactoring, documentation, and code reviewCreate reusable examples, patterns, and guidance that accelerate adoptionGather developer feedback and translate it into actionable insights for platform and product teamsDrive practical adoption by developing clear guidance for responsible and productive use of AI coding toolsHelp teams distinguish where agentic AI accelerates work from where human judgment remains essentialSurface and share successful usage patterns across teams and business areasPartner with engineering leaders to identify blockers and define what good usage looks like in a regulated enterpriseRepresent the developer perspective in discussions with platform, tooling, risk, training, and leadership teamsFoster a community of AI coding tool champions and encourage cross-team knowledge sharingCreate enablement content such as guides, FAQs, playbooks, demo scripts, workshop materials, and short-form updates for engineers and senior stakeholdersPrioritize clarity and usefulness over corporate polishContribute to rollout planning, usage analysis, and continuous improvementIdentify patterns, success stories, and risks to inform training, communications, and support models Technologies: Agentic AIAICI/CDClaude CodeCopilotCursorGitHubSupport More:
We are the Firmwide developer tools group, MSDE, and we shape the SDLC within Morgan Stanley by implementing the tools, systems, and processes used by more than 25,000 developers for software development and deployment. This is a hands-on Developer Engagement Lead role at VP level within our Technology division, sitting at the intersection of software engineering, developer experience, and AI coding tool adoption. We work closely with engineering teams, platform owners, risk partners, and senior technology leaders to scale adoption across the firm. We offer the opportunity to shape how a global engineering organization adopts a major shift in software development, with the chance to work alongside strong collaborators and creative thinkers in a supportive environment. Morgan Stanley is a global leader in financial services operating in more than 40 countries, with comprehensive employee benefits and perks, flexible working arrangements, and a strong commitment to diversity, inclusion, and equal opportunity.
last updated 36 week of 2026