Senior AI Enablement Engineer

Experience something Brilliantly Different with a career at MUFG Investor Services.   

Who are we? In a nutshell, MUFG Investor Services is part of the Mitsubishi UFJ Financial Group, and we partner with over 480 loyal global investment firms to provide them with administration, asset services, banking and fund financing. 

We’re in 14 global locations and provide an exceptional hub of Brilliantly Different talent to thrive.

We are hiring aSenior AI Enablement Engineer to help shape how software engineering teams adopt, use, and scale AI-assisted development across the organization.

This is not a traditional full-stack role, and it is not a “prompt engineering” role. You will work at the intersection ofsoftware engineering, developer experience, AI tooling, platform standards, governance, and engineering enablement.

You will help build the paved roads that allow engineers to use AI tools safely and effectively: standards, reusable workflows, automation, evaluation approaches, observability, documentation, and internal platform capabilities. The goal is to make AI-assisted engineering reliable, measurable, secure, and aligned with enterprise software delivery standards.

You will work closely with engineering teams, platform teams, security, architecture, product, and AI stakeholders to turn AI adoption from isolated experimentation into a sustainable engineering capability.

You Will:

• Own and deliver AI enablement capabilities that improve how engineering teams use AI tools across the software development lifecycle.

• Design and buildinternal tools, workflows, templates, integrations, and automation that make AI-assisted development safer, faster, and more consistent.

• Create and maintain engineering standards, guidance, and reusable patterns for AI-assisted software delivery.

• Help teams adoptAI development tools responsibly, with clear expectations around verification, quality, security, and maintainability.

• Work with engineers/steakholders to understand real delivery pain points and translate them into practical enablement solutions.

• Build or integrate capabilitiesaroundAI-assisted coding, documentation, testing, code review, onboarding, and knowledge retrieval.

• Contribute to AI governanceimplementation by helping translate policy and security expectations into usable engineering workflows.

• Support observability and measurement for AI adoption, including usage insights, effectiveness, quality signals, and operational risks.

• Partner with platform, architecture, AppSec, and infrastructure teams to ensure AI tools are integrated safely into the enterprise environment.

• Coach and supportengineers through workshops, documentation, demos, and hands-on enablement.

• Operatewith high autonomy in a fast-moving area where ambiguity is expected and practical ownership is essential.

AI & Engineering Enablement Mindset:

• Strong interestin how AI is changing software engineering, developer workflows, and engineering productivity.

• Practical experience using AI development tools such as Claude Code, GitHub Copilot, ChatGPT, Cursor, or similar tools.

• Ability to distinguishbetween AI experimentation and production-grade engineering practices.

• Strong belief that AI output must be verified, tested, reviewed, secured, and aligned with engineering standards.

• Comfortable working across technical implementation, team enablement, stakeholder communication, and operational rollout.

• Curious about areas such asAI agents, MCP, RAG, evals, prompt/workflow design, AI observability, and developer productivity measurement.

The Impact You Will Have:

• Help engineering teams adopt AI in a way that is practical, safe, and aligned with enterprise standards.
• Reduce inconsistent AI usage by creating clear workflows, reusable patterns, and trusted guidance.
• Improve developer experience by removing friction from common engineering tasks.
• Help establish measurable AI adoption practices across software engineering.
• Contribute to the next generation of AI-enabled engineering capability within MUFG Investor Services.

You Have (Required):

• 8+ years of professional software engineering experience, with strong ownership of complex systems, platforms, or engineering capabilities.

• Strong proficiency in TypeScript and modern JavaScript.

• Experience with modern frontend frameworks, preferably Vue.js 3, and scalable frontend architecture patterns.

• Experience working acrossfrontend and backend boundaries, including APIs, integrations, services, and data flows.

• Strong engineering fundamentals: clean architecture, maintainability, automated testing, code reviews, CI/CD, and production readiness.

• Experience designing reusable technical standards, shared libraries, templates, platform tooling, or developer experience improvements.

• Ability to work with multipleengineering teams, understand their delivery challenges, and create practical solutions that scale.

• Strongwritten communication skills, with the ability to create clear technical guidance, onboarding material, and adoption documentation.

• Ability tooperate in ambiguity, structure unclear problems, and move from discovery to delivery.

• Security-conscious engineering mindset, especially when introducing new tools, automation, or AI-assisted workflows.
   

Preferred:

• Experience withAI-assisted development tools in real software delivery, not only experimentation.
• Experience building internal platforms,developer tooling,engineering productivity tools, or paved-road capabilities.
• Experience with Node.js, Python, or another backend language.
• Experience with cloud-based systems, preferablyAWS.
• Experience with observability concepts such as logs, metrics, traces, usage telemetry, and operational dashboards.
• Experience inregulated or enterprise environments with strong governance, security, and release discipline.
• Experience with design systems,frontend platform standards, accessibility, and reusable UI patterns.
• Experience withknowledge retrieval, documentation systems,RAG-style workflows, or internal engineering knowledge platforms.
• Experience designinglightweight evaluation approaches for AI-generated outputs, automation, or agentic workflows.
• Experience coaching engineers, running workshops, or driving adoption of new engineering practices.

What’s in it for you to join MUFG Investor Services?   

Take a look at our careers site and you’ll find everything you’d expect from a career with the fastest-growing business at one of the world’s largest financial groups. Now take another look. Because it’s how we defy expectations that really defines us. You’ll feel that difference in all kinds of ways.  Our vibrant CULTURE. Connected team. Love of innovation, laser client focus, and next-level LEARNING & DEVELOPMENT.  Oh, and we really walk the talk when it comes to HYBRID WORKING.     

So, why settle for the ordinary?  Apply now for a Brilliantly Different career.   

We thank all candidates for applying; however, only those proceeding to the interview stage will be contacted.