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Senior Solution Architect, AI

Job in Orlando, Orange County, Florida, 32885, USA
Listing for: Universal Orlando Resort
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Cloud Computing
Job Description & How to Apply Below

Join to apply for the Senior Solution Architect, AI role at Universal Orlando Resort

The Sr. Solution Architect (AI Specialty) is responsible for strategically designing enterprise-grade application and AI solution architectures that support global, multi-park operational needs while also accommodating tailored requirements for individual parks. This role emphasizes modernizing digital platforms and applications through the integration of Artificial Intelligence (AI), Machine Learning (ML), Computer Vision (CV) and intelligent automation solutions. This role will play a pivotal role in the design of AI-driven systems, next-generation platforms, and cloud-native applications across the UDX global portfolio — with a focus on AI use cases such as predictive analytics, personalization, operational optimization, computer vision, and natural language processing (NLP).

MAJOR

RESPONSIBILITIES

Strategy & Planning

  • Act as a visionary and strategist for AI-centric and intelligent solutions within the enterprise application and technology portfolio. Assist in the development of long-term strategic goals and short-term tactical plans for the integration, management, and scaling of Computer Vision, AI and machine learning (ML) capabilities. Ensure proposed and existing AI solution architectures align with Data Architecture, Enterprise Architecture, and Responsible AI guidelines.
  • Provide architectural expertise, thought leadership, and direction to delivery teams, Dev Ops engineers, AI/ML engineers, and fellow architects. Develop, document, and communicate AI-enabling strategies, roadmaps, and investment plans — including cost-benefit analysis for AI adoption opportunities, risk assessment, and model lifecycle management strategies.
  • Conduct ongoing research and evaluation of emerging technologies, platforms, and frameworks in support of business and systems development efforts. Recommend intelligent automation, predictive analytics, personalization, and operational optimization solutions to enhance enterprise capabilities and business value.

Solution Design

  • Architect, design, and oversee the implementation of enterprise AI-enabled solutions and intelligent applications across operational and customer-facing domains. Serve as the AI architecture domain expert for development, data, and ML engineering teams during solution design and implementation phases.
  • Document and maintain the organization’s AI-related solution architecture portfolio and technology ecosystem. Influence the strategic direction by delivering AI-specific design patterns, model integration frameworks, and platform capabilities that demonstrate the art of the possible for data-driven and AI-enhanced solutions.
  • Review and provide architectural oversight on AI use case solutions and intelligent application designs proposed by other architects. Ensure alignment with AI best practices, security, privacy, model governance, industry standards, and architectural standard operating procedures (SOPs).

Technical Collaboration

  • Collaborate with delivery teams, product managers, AI/ML engineers, and senior leadership to refine AI-related business requirements and solution objectives. Participate in the identification, prioritization, and technical feasibility assessment of AI opportunities across business units.
  • Work with cross-functional teams to translate business objectives into AI/ML solution requirements, technical designs, and deployment strategies. Engage with other architects and domain experts through solution review boards to evaluate AI solution proposals, review model governance protocols, and assess AI security, ethics, and privacy implications.
  • Provide expert guidance on technical AI/ML issues, platform integration challenges, and AI model lifecycle management considerations, including MLOps, data pipeline design, retraining strategies, and AI model monitoring.
  • Understand and actively participate in Environmental, Health & Safety responsibilities by following established UO policy, procedures, training and team member involvement activities.
  • Perform other duties as assigned.
EDUCATION

Bachelor’s Degree in Computer Science, Computer Engineering, Systems…

Position Requirements
10+ Years work experience
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