About MUFG Investor Services

MUFG Investor Services is a leading global partner to investment firms, providing administration, asset services, banking, and fund financing. As part of the Mitsubishi UFJ Financial Group, we operate across 14 global locations, fostering a culture of "Brilliantly Different" talent.

Job Description

We are hiring a Senior AI Enablement Engineer to guide the adoption, usage, and scaling of AI-assisted development across our software engineering teams. This role focuses on the intersection of software engineering, developer experience, AI tooling, platform standards, governance, and enablement. You will develop the frameworks, standards, and tools that ensure AI is used safely, effectively, and reliably within our enterprise environment.

You Will:

• Own and deliver AI enablement capabilities to enhance how engineering teams use AI tools throughout the software development lifecycle.
• Design and build internal tools, workflows, templates, integrations, and automation to make AI-assisted development safer, faster, and more consistent.
• Create and maintain engineering standards, guidance, and reusable patterns for AI-assisted software delivery.
• Assist teams in the responsible adoption of AI development tools, setting clear expectations for verification, quality, security, and maintainability.
• Collaborate with engineers and stakeholders to identify delivery pain points and translate them into practical enablement solutions.
• Build or integrate capabilities for AI-assisted coding, documentation, testing, code review, onboarding, and knowledge retrieval.
• Contribute to AI governance implementation by translating policy and security expectations into usable engineering workflows.
• Support observability and measurement of AI adoption, including usage insights, effectiveness, quality signals, and operational risks.
• Partner with platform, architecture, AppSec, and infrastructure teams to safely integrate AI tools into the enterprise environment.
• Coach and support engineers through workshops, documentation, demos, and hands-on enablement.
• Operate with high autonomy in a fast-moving, ambiguous area, taking practical ownership.

AI & Engineering Enablement Mindset:

• Strong interest in how AI is transforming software engineering, developer workflows, and productivity.
• Practical experience using AI development tools (e.g., Claude Code, GitHub Copilot, ChatGPT, Cursor).
• Ability to differentiate between AI experimentation and production-grade engineering practices.
• Belief that AI output must be verified, tested, secured, and aligned with engineering standards.
• Comfortable working across technical implementation, team enablement, stakeholder communication, and operational rollout.
• Curiosity in areas like AI agents, MCP, RAG, evals, prompt/workflow design, AI observability, and developer productivity measurement.

The Impact You Will Have:

• Enable engineering teams to adopt AI practically, safely, and in alignment with enterprise standards.
• Reduce inconsistent AI usage through clear workflows, reusable patterns, and trusted guidance.
• Improve developer experience by reducing friction in common engineering tasks.
• Help establish measurable AI adoption practices across software engineering.
• Contribute to the next generation of AI-enabled engineering capabilities at MUFG Investor Services.

Qualifications (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 across frontend 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 multiple engineering teams, understand their delivery challenges, and create scalable, practical solutions.
• Strong written communication skills, capable of creating clear technical guidance, onboarding material, and adoption documentation.
• Ability to operate in ambiguity, structure unclear problems, and move from discovery to delivery.
• Security-conscious engineering mindset, particularly when introducing new tools, automation, or AI-assisted workflows.

Qualifications (Preferred):

• Experience with AI-assisted development tools in real software delivery, beyond 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, preferably AWS.
• Experience with observability concepts (logs, metrics, traces, usage telemetry, operational dashboards).
• Experience in regulated or enterprise environments with strong governance, security, and release discipline.
• Experience with design systems, frontend platform standards, accessibility, and reusable UI patterns.
• Experience with knowledge retrieval, documentation systems, RAG-style workflows, or internal engineering knowledge platforms.
• Experience designing lightweight evaluation approaches for AI-generated outputs, automation, or agentic workflows.
• Experience coaching engineers, running workshops, or driving adoption of new engineering practices.

Additional Information

Join MUFG Investor Services for a "Brilliantly Different" career. We offer a vibrant culture, connected team, innovation, client focus, and next-level learning & development, alongside hybrid working. We thank all candidates for applying; however, only those proceeding to the interview stage will be contacted.