AI Architect at Nglenergypartners

Job description

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 models, agentic AI, model evaluation, and enterprise integration. · Experience with AI governance and security frameworks, model risk management, system development life cycle processes, secure AI development, and data architecture standards. · Hands-on proficiency with Python or a comparable programming language, SQL, and modern development practices. · Technical experience with Microsoft Azure, Microsoft 365 Copilot, Claude or comparable enterprise AI ecosystems, and AI API integrations. · Ability to evaluate commercial AI products, open-source technologies, and internally developed solutions for operational success aligned with security, risk, and governance standards. · Ability to operate strategically while remaining directly involved in solution design and delivery. · Strong communication, business analysis, and stakeholder management skills. Personal Attributes Excellent customer service, interpersonal, and communication skills. Communicate ideas in both technical and user-friendly language. Consistent and timely communication of project, request, and general work-related activities. Highly self-motivated and directed, with keen attention to detail. Proven analytical and creative problem-solving abilities. Effectively prioritize and execute tasks in a fast-paced environment. Work in a team-oriented, collaborative environment. Maintain stability under pressure and adapt plans and behavior when necessary. Positive representative of the Company both internally and externally. Be respectful and cooperative at all times with fellow employees and customers. Must be committed to working safely at all times. Ability to work a flexible schedule, including occasional evenings, weekends, and/or holidays to meet deadlines. Regular attendance at the worksite is required. NGL is proud to be an Equal Opportunity Employer. NGL will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran, or any other characteristic protected by applicable law. NGL is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. Please contact us at askHR nglep.com to request an accommodation due to a disability. NGL participates in the federal E-Verify program. To learn more about E-Verify, please visit: e-verify.gov.

Requirements

Must-haves

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

Nice-to-haves

Bachelor’s Degree in Computer Science, Management Information Systems, or Data Science is preferred, or equivalent job experience is required.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningaccessibilitypythonsqlazureapi

Platform: workday
Effort: long