Enterprise AI Solutions Architect

Job Description

First Hawaiian Bank is currently seeking an Enterprise AI Solutions Architect to join our Enterprise Technology Management Division.

Monday to Friday 8:00 AM - 5:00 PM (hours may vary)

The salary range for this role is $175,000 to $230,000/yr; commensurate with experience. The successful candidate will be hired for the level of the position that aligns with their experience.

The Enterprise AI Solutions Architect defines and drives the Bank’s enterprise AI solution architecture, technical standards, and reference patterns to enable secure, scalable, and production‑ready AI capabilities across the organization. This role serves as the Bank’s senior technical authority for AI solution design, translating business needs and AI strategy into practical architecture decisions, platform recommendations, and implementation guidance. The position evaluates architectural tradeoffs across models, hosting approaches, vendors, orchestration methods, integration patterns, and control requirements to determine what type of AI solution is best fit for purpose, supportable, and aligned with the Bank’s security, risk, and regulatory expectations.

• Bachelor’s degree in computer science, information systems, engineering, technology architecture, data/AI, or related field; or equivalent combination of education and professional experience required.
• Advanced degree in computer science, engineering, information systems, data science, artificial intelligence, or related discipline preferred.
• Cloud, architecture, security, or AI‑related certifications preferred.
• 10+ years of experience in enterprise architecture, solution architecture, software engineering, or related technical design roles; and
• 3+ years of experience designing, evaluating, or implementing AI/ML, generative AI, intelligent automation, or advanced analytics solutions in an enterprise environment inclusive of:
• Strong hands‑on experience with cloud architecture, APIs, enterprise integration patterns, security design, and production solution delivery.
• Demonstrated experience making architecture trade‑off decisions across platforms, vendors, hosting models, and implementation patterns.
• Experience reviewing and approving technical designs and providing architecture leadership across cross‑functional teams.
• Experience operating within a regulated environment, preferably financial services.
• Demonstrated understanding of AI and emerging AI solution patterns, including capabilities, limitations, implementation considerations, and associated operational and risk implications.
• Experience designing architecture for copilots, retrieval‑based solutions, workflow automation, agentic solutions, document intelligence, or decision‑support capabilities.
• Experience with model orchestration, enterprise AI platforms, observability, access controls, and production support considerations for AI systems.
• Experience influencing platform selection, vendor evaluation, and enterprise technology direction.
• Familiarity with banking systems, internal operations, and enterprise use cases in regulated environments.