MUFG Investor Services

Financial Services

SeniorAIEnablementEngineer

€60–90k ~AI est. Limassol, Limassol, Cyprus FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Senior AI Enablement Engineer at MUFG Investor Services. Skills: AI Enablement, Developer Experience, Platform Engineering, AI Governance. Own AI enablement capabilities. Deliver AI enablement capabilities”

What You'll Achieve.

Make AI-assisted engineering reliable; Make AI-assisted engineering measurable; Make AI-assisted engineering secure; Align AI with enterprise standards; Turn AI adoption into capability; Reduce inconsistent AI usage; Improve developer experience; Establish measurable AI adoption practices

Industry & Context.

Financial Services
Problems you'll solve

Structure unclear problems; Troubleshooting

What They're Looking For.

Must Have

8+ years software engineering experience, TypeScript proficiency, Modern JavaScript proficiency, Experience with modern frontend frameworks, Experience with scalable frontend architecture, Experience across frontend/backend boundaries, Experience with APIs, Experience with integrations, Experience with services, Experience with data flows, Engineering fundamentals, Clean architecture knowledge, Maintainability knowledge, Automated testing knowledge, Code reviews knowledge, CI/CD knowledge, Production readiness knowledge, Experience designing reusable technical standards, Experience designing shared libraries, Experience designing templates, Experience designing platform tooling, Experience designing developer experience improvements, Ability to work with multiple engineering teams, Ability to understand delivery challenges, Ability to create practical solutions, Written communication skills, Ability to operate in ambiguity, Ability to structure unclear problems, Ability to move from discovery to delivery, Security-conscious engineering mindset

Nice to Have

Experience with AI-assisted development tools, Experience building internal platforms, Experience building developer tooling, Experience building engineering productivity tools, Experience building paved-road capabilities, Node.js experience, Python experience, Backend language experience, Cloud-based systems experience, AWS experience, Observability concepts experience, Experience in regulated environments, Experience in enterprise environments, Design systems experience, Frontend platform standards experience, Accessibility experience, Reusable UI patterns experience, Knowledge retrieval experience, Documentation systems experience, RAG-style workflows experience, Internal engineering knowledge platforms experience, Experience designing evaluation approaches, Experience coaching engineers, Experience running workshops, Experience driving adoption

What You'll Do.

Own AI enablement capabilities

Deliver AI enablement capabilities

Improve how engineering teams use AI tools

Design internal tools

Create engineering standards

Maintain engineering standards

Create reusable patterns

Maintain reusable patterns

Help teams adopt AI tools

Understand delivery pain points

Translate pain points into solutions

Build AI-assisted coding capabilities

Integrate AI-assisted coding capabilities

Build AI-assisted documentation capabilities

Integrate AI-assisted documentation capabilities

Build AI-assisted testing capabilities

Integrate AI-assisted testing capabilities

Build AI-assisted code review capabilities

Integrate AI-assisted code review capabilities

Build AI-assisted onboarding capabilities

Integrate AI-assisted onboarding capabilities

Build knowledge retrieval capabilities

Integrate knowledge retrieval capabilities

Contribute to AI governance implementation

Translate policy into workflows

Translate security expectations into workflows

Support observability for AI adoption

Support measurement for AI adoption

Partner with platform teams

Partner with architecture teams

Partner with AppSec teams

Partner with infrastructure teams

Ensure AI tools integrated safely

Operate with high autonomy

How You'll Work.

Team & Collaboration

Engineering teams; Platform teams; Security teams; Architecture teams; Product teams; AI stakeholders; Cross-functional teams

Communication Scope

Written communication; Technical guidance; Onboarding material; Adoption documentation; Workshops; Demos

Process & Methodology

Discovery to delivery

Full Job Description

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 a Senior 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 of software 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 build internal 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 adopt AI development tools responsibly, with clear expectations around verification, quality, security, and maintainability. * Work with engineers/steakholders to understand real d

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