AI Architect

Job Description Description The  Artificial Intelligence (AI) Architect’s role is to lead the design and implementation of the company’s AI capabilities, translating business priorities into secure, practical solutions that deliver measurable value. Reporting directly to the VP Applications, this role will establish the enterprise AI architecture, guide technology selection, and develop a roadmap for responsible AI adoption across the company.

This is a hands-on technical position combining strategic planning with solution delivery. The AI Architect will partner with Business Operations, IT, Legal, Accounting, and Finance to understand and define AI strategies, and support operational performance while protecting company information and maintaining appropriate controls.

Responsibilities AI Strategy and Business Outcomes
· Develop and maintain an enterprise AI strategy and roadmap aligned with company objectives, technology capabilities, and investment priorities.
· Identify and prioritize AI opportunity recommendations across Business Operations, IT, Legal, Accounting, and Finance.
· Build AI business cases that define expected benefits, costs, risks, ownership, and measurable outcomes.
· Advise the IT Leadership on AI capabilities, investment decisions, adoption progress, and emerging opportunities.

Enterprise Architecture and Solution Delivery
· Define the architecture and standards for developing, testing, and monitoring generative AI, agentic AI, machine learning, intelligent automation, and advanced analytics.
· Design technical guidance and build AI solutions that integrate with enterprise applications, data platforms, document repositories, and operational systems.
· Apply appropriate safeguards when integrating AI with operational technology and safety-sensitive processes.
· Partner with application, infrastructure and operational technology teams to improve the quality, accessibility, and ownership of information required for AI.
· Establish production practices for model and prompt versioning, testing, deployment, and performance monitoring.

Governance, Security, and Risk Management
· Partner with IT, operational technology, legal, internal audit, and data owners to establish practical AI policies and regulatory governance.
· Define requirements for data protection, access controls, human oversight, model evaluation, auditability, and acceptable use.
· Assess risks involving inaccurate outputs, sensitive information exposure, intellectual property, third-party services, and automated actions.
· Ensure AI solutions support the company’s internal control environment, data retention practices, and applicable regulatory obligations.

AI Program and Adoption
· Serve as the company’s principal technical expert for AI and a trusted adviser to the IT Leaders.
· Lead cross-functional delivery teams and implementation partners through influence and technical direction.
· Develop employee guidance and training that promote effective, responsible AI use.
· Communicate technical concepts, business value, and risks clearly to employees and leaders, non-technical audiences.
· Develop and maintain scorecards to measure AI adoption success.

Knowledge and Experience
· Bachelor’s Degree in Computer Science, Management Information Systems, or Data Science is preferred, or equivalent job experience is required.
· Eight or more years of progressive experience in technology architecture, software development, data platforms, or related disciplines, including experience designing and delivering AI or machine learning solutions.
· Proven experience developing AI strategies and roadmaps plus experience in designing, developing, and implementing the strategies is required.
· Strong knowledge of generative AI, large language…