Senior AI Enablement Engineer

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 delivery pain points and translate them into practical enablement solutions.

• Build or integrate capabilities around AI-assisted coding documentation testing code review onboarding and knowledge retrieval.

• Contribute to AI governance implementation 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 support engineers through workshops documentation demos and hands-on enablement.

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

AI & Engineering Enablement Mindset:

• Strong interest in 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 distinguish between 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 as AI 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.

Qualifications :

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 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 practical solutions that scale.

• Strong written communication skills with the ability to create 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 especially when introducing new tools automation or AI-assisted workflows.
  

Preferred:

• Experience with AI-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 Python or another backend language.
• Experience with cloud-based systems preferably AWS.
• Experience with observability concepts such as logs metrics traces usage telemetry and 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 :

Whats in it for you to join MUFG Investor Services

Take a look at our careers site and youll find everything youd expect from a career with the fastest-growing business at one of the worlds largest financial groups. Now take another look. Because its how we defy expectations that really defines us. Youll 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.

Remote Work :

No

Employment Type :

Full-time

Experience: years
Vacancy: 1