Senior AI Engineer – Search, Personalization, Agents

Job not on LinkedIn

🔥 6 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $133.2k - $173k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Hyatt

WebsiteLinkedInAll Job Openings

10,000+ employees

🍽️ Food & Beverage

✈️ Travel

🛒 Retail

Food & Beverage • Travel • Retail

Hyatt is a global hospitality company that operates a range of hotels, resorts, and vacation properties. Known for its commitment to providing exceptional guest experiences, Hyatt offers various accommodation options, from luxury to more affordable stays. The company also focuses on sustainability and community engagement, ensuring responsible business practices in the hospitality sector.

📋 Description

• Build and operate production AI systems improving Hyatt’s search, personalization, guest experiences, colleague productivity, and operational workflows • Design, prototype, and productionize Generative AI solutions in natural-language search, information retrieval, and recommender systems • Build and evaluate LLM-powered applications using retrieval-augmented generation, prompt engineering, fine-tuning, embeddings, semantic search, and agentic or workflow-based AI systems • Develop model evaluation frameworks covering offline metrics, human evaluation, guardrail testing, bias and safety checks, and business-impact measurement • Translate ambiguous business problems into data science problem statements, solution designs, success metrics, and implementation plans • Lead solution design, modeling decisions, experimentation strategy, and technical tradeoff discussions • Partner with ML and data engineering teams to deploy scalable real-time inference pipelines and batch processing workflows • Influence technical roadmaps and sequence data science initiatives • Collaborate on design reviews, code reviews, ML engineering best practices, and knowledge sharing • Productionize models and AI services using AWS-native tools and modern MLOps practices • Contribute to data pipelines, feature workflows, model serving, observability, monitoring, and lifecycle management • Apply version control, CI/CD, testing, reproducibility, containerization, and documentation • Support batch and low-latency inference deployments • Work with product owners, ML scientists, ML engineers, data engineers, architects, and business stakeholders to deliver end-to-end algorithmic products • Communicate model behavior, limitations, assumptions, risks, and business impact to technical and non-technical audiences • Define measurable success criteria and evaluate AI outcomes • Champion responsible AI, inclusive design, and practical experimentation

🎯 Requirements

• Master’s degree in computer science, Software Engineering, or related field • 4+ years of experience in machine learning roles focused on NLP/NLU, recommender systems, or LLM applications • Experience deploying LLMs or other Generative AI solutions to production • Expertise in AWS cloud services, including SageMaker, ECS/EKS, Step Functions, Lambda, and Glue • Strong programming skills in Python • Experience with SQL, PySpark, and containerization such as Docker • 4+ years of experience designing scalable data pipelines and ML systems for real-time and batch inference • Familiarity with ML observability and governance tools • Solid understanding of responsible AI practices, CI/CD pipelines, Agile development practices, and model lifecycle management • Excellent interpersonal and communication skills • Ph.D preferred

🏖️ Benefits

• Annual allotment of free hotel stays at Hyatt hotels globally • Flexible work schedule • Work-life benefits including wellbeing initiatives such as a complimentary Headspace subscription • Discount at the on-site fitness center • Global family assistance policy with paid time off following the birth or adoption of a child • Financial assistance for adoption • Paid Time Off • Medical • Dental • Vision • 401K with company match