Senior AI Engineer

Wyndham Hotels & Resorts•Orlando, FL

About The Position

Travel + Leisure Co. is the world's leading vacation ownership and travel membership company, with a dynamic and growing portfolio of resort, travel club, and lifestyle travel brands. Our dedicated associates help the company achieve its mission to put the world on vacation. Innovation and growth keep our work interesting and fun. Every day is a chance to learn something new and turn vacation inspiration into exceptional experiences for millions of travelers worldwide. The Senior Consultant, AI Engineer is a technology-savvy leader with practical experience delivering AI/GenAI solutions in enterprise environments. This role provides technical leadership across conversational AI, personalization, and agentic AI applications, with responsibility for establishing and governing AI design patterns and development frameworks. The position leads cross-functional teams to deliver enterprise-scale AI solutions, working closely with stakeholders to plan and organize complex AI project implementations. This role provides strategic technical leadership during PMLC and SDLC phases, collaborating with Business Relationship Management, Project Management, and Architecture teams to review, estimate, and recommend delivery approaches. The position focuses on expanding AI platforms across multiple channels and brands, ensuring production AI agents meet standards for accuracy, safe handling of sensitive data, and compliance with regulatory requirements. The Senior AI Consultant reports to the Director/VP of Applications Delivery & Services to deliver robust AI and machine learning solutions based on best practice AI engineering that is well aligned with the SDLC process.

Requirements

Bachelor's degree in computer science, Information Technology, Engineering, Data Science, or related field
Strong analytical, logical reasoning, and problem-solving skills
Excellent written and oral communication abilities with both technical and business stakeholders
Ability to set technical direction, define standards, and guide delivery teams
Proven ability to translate business requirements into scalable AI technical solutions
Experience leading diverse teams and providing technical oversight to multiple functional teams
Experience managing relationships with AI/ML vendors and cloud AI service providers
Strong teamwork, interpersonal, and conflict resolution skills
AI/GenAI Solutions: Practical experience with LLMs, conversational AI, and agentic AI applications
Experience with GenAI-driven personalization and recommendation systems
Knowledge of neural networks, deep learning, and transformer architectures
Experience with ML pipelines, model deployment, and evaluation in enterprise settings
Compliance & Governance: Experience with AI governance frameworks and model risk management
Understanding of AI ethics, responsible AI practices, and bias mitigation
Knowledge of data privacy regulations (GDPR, CCPA) as applied to AI systems
Experience with SOX/PCI and similar compliance protocols
Core Technical Stack: Proficiency in Python and AI/ML development languages
Experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks
Expertise in NLP (Hugging Face Transformers, LangChain), Computer Vision, or Generative AI domains
Understanding of MLOps and model lifecycle management
Enterprise Integration & Deployment: Experience with cloud AI services (AWS SageMaker, Azure ML Studio, Google Vertex AI)
Knowledge of containerization (Docker, Kubernetes) and microservices architecture
Proficiency in API development (FastAPI, REST)
Experience with CI/CD and MLOps pipelines
Background in deploying AI systems integrated with CRM, call center, and digital channels
Data & Infrastucture Data modeling and database design for AI systems
Experience with enterprise data platforms and big data technologies
Knowledge of real-time data processing and streaming architectures
6+ years of IT experience in scaled application development environments
4+ years of hands-on AI/ML development and deployment experience
Demonstrated success leading delivery of AI/GenAI solutions in production environments, with practical experience in multiple areas: Conversational AI platforms and scaling across channels/brands GenAI-driven personalization and recommendation engines Implementation of governance, guardrails, and compliance controls for production AI agents Enterprise AI architecture and vendor evaluations with build vs. buy decisions
Experience equivalent to the education requirement may be accepted in lieu of the education requirement.

Nice To Haves

Master's degree in AI, Machine Learning, or related field preferred
Professional certifications in AI/ML frameworks (TensorFlow Professional, PyTorch, MLOps) preferred
Cloud AI platform certifications (AWS ML Specialty, Azure AI Engineer Associate, Google Cloud ML Engineer) preferred
Leadership and project management training preferred
Experience developing AI applications for the hospitality industry preferred
Track record of successful large-scale AI program delivery preferred
Experience leading multi-site and offshore AI development teams preferred
Background in consulting or client-facing technical leadership roles preferred

Responsibilities

Technical Leadership & Team Management - Lead expansion of conversational AI platforms by guiding implementation of additional interaction channels and scaling adoption across multiple brands. Lead and advise project teams of AI engineers across the full AI stack (data pipelines, models, APIs, inference engines). Provide technical direction, design approaches, and articulate AI delivery best practices. Oversee multiple cross-functional teams to ensure adherence to AI architectural standards and promote pattern reuse.
Architecture & Solution Design - Define enterprise AI platform architecture and lead technical evaluation of vendors with clear build vs. buy recommendations. Contribute to the design and rollout of a unified AI/GenAI application platform, enabling reuse and scalability across business solutions. Collaborate with Enterprise Architecture team to balance architectural recommendations with delivery strategy. Review and approve solution designs for alignment with enterprise guidelines, performance SLAs, and quality benchmark.
Strategic Collaboration & Project Leadership - Engage with various IT teams (Business Relationship Management, Project Management, Architecture, Quality Management) during PMLC and SDLC phases. Lead estimation sessions, recommend AI delivery approaches, and ensure alignment with business objectives and technical constraints. Guide implementation of GenAI-driven personalization and recommendation features in customer-facing channels. Communicate technical strategy, delivery progress, and risks to executive leadership.
Reliability, Safety & Compliance - Ensure production GenAI agents meet defined standards for response accuracy, safe handling of sensitive data, and compliance with regulatory requirements. Implement governance, guardrails, and compliance controls for production AI agents. Establish and maintain AI development frameworks, design patterns, and governance protocols. Ensure compliance with enterprise standards, ethics guidelines, and regulatory requirements.
Technical Guidance & Mentorship - Provide AI application and design guidance to technical staff through oversight of complex business requirements analysis. Guide solution design for AI models, data processes, interfaces, controls, and infrastructure within recommended timeframes, architecture standards, and budget constraints. Mentor junior and mid-level AI engineers. Support process enhancements and improvements across delivery teams.
Innovation & Strategic Planning - Evaluate AI/ML industry trends and emerging technologies; recommend innovative approaches that balance business value with enterprise standards. Drive innovation through evaluation of emerging AI solutions, strategic resource allocation, and thought leadership. Lead proof-of-concept initiatives and technology adoption strategies. Lead knowledge sharing and best practice dissemination across the organization.

Benefits

Medical
Dental
Vision
Flexible spending accounts
Life and accident coverage
Disability
Depending on position, paid time off, parental leave and holidays (speak to your recruiter for additional information)
Wish day paid time to volunteer at an approved organization of your choice
401k with employer match (subject to eligibility requirements, including tenure - speak to your recruiter for additional information)
Legal and identify theft plan
Voluntary income protection benefits
Wellness program (subject to provider availability)
Employee Assistance Program