Senior AI/ ML Engineer

JOB SUMMARY: The Senior AI/ML Engineer role will design and build custom AI-powered applications end-to-end, from prototype to production, focused on delivering measurable business value. The Senior AI/ML Engineer will engineer full AI systems that integrate model capabilities into real products: robust API endpoints, agentic or AI workflow orchestration, scalable backend services, and well-designed data models. Hands-on in implementation, deeply involved in system quality and reliability, and eager to mentor junior engineers while raising the teamu2019s engineering bar. MAJOR RESPONSIBILITIES: AI Development + Architect and implement end-to-end AI solutions, including backend services, APIs, databases, and model integration layers. + Develop and maintain API endpoints (REST/GraphQL) that reliably serve AI capabilities to internal and external consumers. + Design and implement backend database schemas (relational and/or NoSQL) and data access patterns optimized for AI workloads and application needs. + Build scalable AI infrastructure patterns (job queues, caching, streaming, async workers) to support low-latency and high-throughput use cases. + Apply secure engineering practices including authentication/authorization, secrets management, threat modeling, and PII handling. Engineer AI & Agentic Workflows + Implement AI pipelines including Retrieval-Augmented Generation (RAG), tool/function calling, structured output, and agentic workflows. + Choose appropriate model strategies: prompt-based, RAG, fine-tuning, or hybrid approaches based on cost, latency, and quality requirements. + Evaluate and integrate foundation models (open-source and commercial) with attention to licensing, security, privacy, and performance. AI Evaluation + Define and implement evaluation frameworks to measure AI system quality (accuracy, relevance, grounding, hallucination rates, safety, latency, cost). + Create automated test suites for prompts/workflows and regression testing for model and data changes. + Monitor production systems for drift, degradation, and reliability issues; establish observability (logs, traces, metrics) and incident response practices. Collaboration and Mentorship + Partner with Product, Data Science, Data Engineering, DevOps and Platform teams to translate requirements into robust technical solutions. + Mentor junior engineers through code reviews, technical guidance, and best-practice sharing. + Lead by example in engineering rigor, craftsmanship, and pragmatic decision-making. + Understands and actively participates in Environmental, Health & Safety responsibilities by following established UO policy, procedures, training and team member involvement activities. + Performs other duties as assigned. EDUCATION: + Bacheloru2019s degree in computer science, Engineering, Data Science, or a related field is required. + An advanced degree (Masters or PhD) in a relevant field is strongly preferred, emphasizing computer science, machine learning, robotics, or business management. EXPERIENCE: + 5+ years in software engineering and/or applied AI/ML roles, with demonstrated delivery of production systems. ADDITIONAL INFORMATION: + AI/ML Expertise: Strong working knowledge of modern ML/GenAI tools (e.g., PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex or similar). + Backend Engineering: Proven ability to build and maintain backend services and APIs (Python/TypeScript/Java/Go or similar). + Data & Storage: Experience designing database schemas and working with relational and/or NoSQL databases; familiarity with vector databases is a plus. + Cloud Proficiency: Proficient in at least one major cloud provider (AWS, GCP, or Azure), including deployment and managed services. + Evaluation Discipline: Demonstrated experience measuring AI system quality with repeatable evaluation methods and production monitoring. + Scaling Mindset: Ability to design systems for performance, reliability, and maintainability at scale. + Communication: Strong written and verbal communication skills; able to explain tradeoffs clearly to technical and non-technical stakeholders. + Mentorship: Eagerness and ability to mentor junior engineers and elevate team practices. Your talent, skills and experience will be rewarded with a competitive compensation package. Universal is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Universal Orlando via-email, the Internet or in any form and/or method without a valid written Statement of Work in place for this position from Universal Orlando HR/Recruitment will be deemed the sole property of Universal Orlando. No fee will be paid in the event the candidate is hired by Universal Orlando as a result of the referral or through other means. Universal Orlando Resort. Here you can. Universal Orlando is an equal opportunity employer. Universal elements and all related indicia TM & u00a9 2025 Universal Studios. All rights reserved. EOE

Created: 2026-02-13