Developer Engagement Lead - AI Coding Tools - MSDE

Developer Engagement Lead - AI Coding Tools - MSDE

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
96 Morgan Stanley UK Ltd

At a Glance

  • Tasks: Engage developers and drive practical adoption of AI coding tools across the firm.
  • Company: Join Morgan Stanley, a global leader in financial services with a culture of innovation.
  • Benefits: Flexible working arrangements, comprehensive benefits, and opportunities for career growth.
  • Other info: Collaborative environment with a focus on diversity and inclusion.
  • Why this job: Shape the future of software development with cutting-edge AI tools and make a real impact.
  • Qualifications: Experience in software development and familiarity with AI coding tools.

The predicted salary is between 63000 - 77000 £ per year.

We're seeking someone to join our team as hands-on Developer Engagement Lead to join the Firmwide developer tools group, MSDE. MSDE is responsible for shaping the SDLC within Morgan Stanley by implementing the tools, systems, and processes used by 25,000+ developers in the Firm for software development and deployment. This role sits at the intersection of software engineering, developer experience, and AI coding tool adoption. You'll help ensure developers don't just get access to agentic AI capabilities — they use them well, safely, and meaningfully in real workflows. You'll work with engineering teams, platform owners, risk partners, and senior technology leaders to scale adoption across the firm.

The ideal candidate is a hands-on developer who enjoys helping others succeed, explains technical concepts clearly, and thrives in ambiguity and fast-moving change. This is an opportunity to shape how a global engineering organization adopts one of the most significant shifts in software development. You'll be close to developers, close to the tools, and close to the real-world challenges of using them well in a complex enterprise environment. If you're excited by AI coding tools and want to play a visible role in changing how software gets built, this role offers a unique combination of technical depth, influence, and organizational impact.

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.

What you’ll do in the role:

  • Engage Developers
    • Run 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
    • Develop clear guidance for responsible, 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
  • Advocate for Developers
    • 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
    • Guides, FAQs, playbooks, demo scripts, workshop materials, and short-form updates for engineers and senior stakeholders
    • Prioritize clarity and usefulness over corporate polish
  • Shape the Adoption Strategy
    • Contribute to rollout planning, usage analysis, and continuous improvement
    • Identify patterns, success stories, and risks to inform training, communications, and support models

What you’ll bring to the role:

  • Technical Experience
    • Software development experience with exposure to modern engineering workflows (PRs, CI/CD, developer tooling)
    • Practical experience with AI coding tools (e.g., GitHub Copilot, Codex, Cursor, 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
  • Engagement & Communication
    • 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
  • Mindset
    • 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

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 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.

Certified Persons Regulatory Requirements: If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement: Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

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.

Developer Engagement Lead - AI Coding Tools - MSDE employer: 96 Morgan Stanley UK Ltd

At Morgan Stanley, we pride ourselves on being an exceptional employer, particularly for our Java Software Engineer role within the dynamic Investment Banking & Global Capital Markets Technology team. Our inclusive work culture fosters innovation and collaboration, providing employees with ample opportunities for professional growth and development while working on cutting-edge solutions that shape the future of finance. With flexible working arrangements and a commitment to diversity, we empower our team members to thrive both personally and professionally in a supportive environment.

96 Morgan Stanley UK Ltd

Contact Details:

96 Morgan Stanley UK Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Developer Engagement Lead - AI Coding Tools - MSDE

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at 96 Morgan Stanley UK Ltd or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to 96 Morgan Stanley UK Ltd.

Tap into Online Developer Communities

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We think you need these skills to ace Developer Engagement Lead - AI Coding Tools - MSDE

Software Development Experience
AI Coding Tools (e.g., GitHub Copilot, Codex, Cursor, Claude Code)
Modern Engineering Workflows (PRs, CI/CD, Developer Tooling)
Enterprise SDLC Practices
Engagement and Communication Skills
Workshop Facilitation
Clear Written and Verbal Communication

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at 96 Morgan Stanley UK Ltd.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at 96 Morgan Stanley UK Ltd and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at 96 Morgan Stanley UK Ltd

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If 96 Morgan Stanley UK Ltd uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.