Morgan Stanley

Morgan Stanley

London

Developer Engagement Lead - AI Coding Tools

Full-Time£68,000 - 108,000 per yearhierUnited Kingdom
IT

Job Description

Salary: £68,000 - 108,000 per year

Requirements:
  • Software development experience with exposure to modern engineering workflows such as PRs, CI/CD, and developer tooling
  • Practical experience with AI coding tools such as GitHub Copilot, Codex, Cursor, or Claude Code
  • Ability to evaluate where AI tools add value and where they introduce risk
  • Familiarity with enterprise SDLC practices or regulated technology environments is a plus
  • Comfort leading demos, workshops, and enablement sessions for varied audiences
  • Clear, credible written and verbal communication
  • Ability to synthesize feedback and usage patterns into recommendations
  • Skill in building trust with engineers by being honest, practical, and technically grounded
  • Genuine enthusiasm for AI coding tools and curiosity about how developers work
  • Bias toward action, experimentation, and practical outcomes
  • Comfort with evolving tools, policies, and best practices
  • Collaborative approach across teams, regions, and experience levels
Responsibilities:
  • Engage developers through demos, workshops, office hours, and enablement sessions
  • Help teams identify practical use cases for AI coding tools across coding, testing, refactoring, documentation, and code review
  • Create reusable examples, patterns, and guidance that accelerate adoption
  • Gather developer feedback and translate it into actionable insights for platform and product teams
  • Drive practical adoption by developing clear guidance for responsible and productive use of AI coding tools
  • Help teams distinguish where agentic AI accelerates work from where human judgment remains essential
  • Surface and share successful usage patterns across teams and business areas
  • Partner with engineering leaders to identify blockers and define what good usage looks like in a regulated enterprise
  • Represent the developer perspective in discussions with platform, tooling, risk, training, and leadership teams
  • Foster a community of AI coding tool champions and encourage cross-team knowledge sharing
  • Create enablement content such as guides, FAQs, playbooks, demo scripts, workshop materials, and short-form updates for engineers and senior stakeholders
  • Prioritize clarity and usefulness over corporate polish
  • Contribute to rollout planning, usage analysis, and continuous improvement
  • Identify patterns, success stories, and risks to inform training, communications, and support models
Technologies:
  • Agentic AI
  • AI
  • CI/CD
  • Claude Code
  • Copilot
  • Cursor
  • GitHub
  • Support

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

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About Morgan Stanley

Morgan Stanley

Morgan Stanley

London

IT

Skills & Technologies

GoRustGitCI/CDAIUI

Inferred from job description

Salary Insight

£88,000

This role

£85,000

UK median

This salary is 4% above the UK median for Lead roles85,000/yr).

Based on 2024–2025 UK technology sector benchmarks

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