AI Solution Engineer

MUFG Investor Services is a trusted partner to many of the world’s largest public and private funds, providing asset servicing and operational solutions built for alternatives. With over $1 trillion in client assets under administration, we offer fund administration, banking, payments, fund financing, foreign exchange overlay, corporate and regulatory services, custody, business consulting, and more. Operating from 17 locations worldwide, we help clients mitigate risk, enhance efficiency, and navigate the operational complexities of today’s investment management landscape. As a division of Mitsubishi UFJ Financial Group (MUFG), one of the world’s largest financial institutions with approximately $3 trillion in assets, we combine deep expertise with the strength and stability of a leading financial institution. To learn more, visit us at  mufg-investorservices.com ↗ .

#LI-Hybrid

We are hiring a AI Solution Engineer to design and deliver AI-enabled platform capabilities and internal/external products . This is not a traditional full-stack role. Working closely within our AI Research and Development team, you will operate as an end-to-end owner , from integration through the whole engineering surface, shaping how AI agents are embedded into enterprise-grade systems . You will work at the intersection of product, platform, and AI , helping define the next generation of AI-native engineering within the organization.

AI Feature Development & Enhancement

• Build and evolve the technical layer of the Workflow and Agent AI Platform, the foundation teams use to design, run, and scale AI workflows and agents.

• Own capabilities end to end , from integration through the whole engineering surface: design, delivery, production deployment, and continuous improvement.

• Design and deliver AI-enabled features across frontend, backend, AI, and integration layers, turning business problems from stakeholders and customers into production-grade solutions.

• Embed product functionality into AI-enabled workflows as consistent, reusable patterns, and enhance them using evaluation results, monitoring, and user feedback.

• Contribute to architecture decisions that support scalability, observability, security, and long-term platform evolution.

Collaboration & Delivery

• Work closely with Data Scientists and AI Engineers to productionize research outputs.

• Coordinate with Platform Engineers on deployment and infrastructure needs.

• Support tactical AI solutions with team members and other groups as new business needs emerge.

• Take part in code reviews, documentation, and knowledge sharing, contributing to shared delivery goals.

#LI-Hybrid

Required Skills and Qualifications

• 3+ years of software engineering experience, with end-to-end ownership of complex products or platforms.

• Strong proficiency in TypeScript and modern JavaScript, building production-grade applications;

• Experience with modern frameworks; React preferred (Vue.js 3 also welcome).

• Strong proficiency in at least one backend language ( Python preferred , but not required) and comfort working across frontend/backend boundaries.

• Experience with relational databases (e.g. PostgreSQL), data modeling, and designing APIs and integrations.

• Strong software engineering fundamentals: including clean architecture, evolvability, testing, code reviews and CI/CD discipline.

Good to Have

• Experience with MLOps tooling

• Exposure to AI and agent frameworks (e.g., AWS Strands, Azure AI Agent Service, LangChain, LangSmith, CrewAI) is a plus

• Experience with GenAI application development

• Experience with cloud platforms (AWS, Azure) or data platforms (e.g., Databricks)

• Financial services background.

• Experience with design systems and accessibility standards.