AVP – Data Products and AI Enablement

MUFG•Walnut Creek, CA

1d•$90,000 - $143,000•Hybrid

About The Position

The Assistant Vice President - Data Products and AI Enablement is a hands-on engineering role responsible for building AI-powered applications and data products from backend services and APIs through intuitive user experiences. The role combines modern software engineering, AI/LLM development, data integration, and frontend development to deliver secure, scalable, and user-centric solutions for analytics and reporting users, relationship managers and business partners across the bank. The ideal candidate combines strong frontend and backend engineering skills with practical experience integrating AI into production applications and a strong understanding of data-driven product development.

Requirements

Typically 5+ years of software, backend, platform, or data engineering experience, including distributed systems and production data platforms.
Knowledge of data security, governance, high availability, disaster recovery, observability, and performance optimization.
Strong communication, stakeholder management, problem-solving, and technical leadership skills.
Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience

Nice To Haves

Relevant cloud, data engineering, Kubernetes, or AI/ML certification.
Experience delivering technology solutions in financial services or another highly regulated industry.
Experience working with cybersecurity, data governance, model risk, architecture, and control functions

Responsibilities

Design and build end-to-end AI-powered applications spanning frontend experiences, backend services, APIs, data platforms, and AI/LLM capabilities.
Develop intelligent applications using LLMs, RAG, vector search, semantic retrieval, AI agents, natural-language interfaces, and intelligent automation.
Build responsive and intuitive enterprise applications using React, TypeScript, Next.js, Python, Node.js, and modern API architectures.
Develop backend services and APIs that integrate enterprise data, AI models, banking systems, and third-party platforms.
Transform complex financial, client, operational, and analytical data into intuitive dashboards, workflows, insights, and decision-support experiences.
Build reusable frontend components, design systems, data visualizations, and application frameworks that accelerate delivery across the Chief Data & AI Office.
Partner with product managers, designers, data scientists, AI engineers, and business stakeholders to rapidly prototype, validate, and produce new AI and data products.