Senior GenAI Architect for Agentic Marketing Systems

Expedia Group; Seattle (WA); On-site; USD 173,000 - 243,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision coverage

Paid time off

Employee Assistance Program

Travel reimbursement

Travel discounts

IATAN membership

Job summary

Expedia Group is seeking a hands-on Senior Machine Learning Scientist to design and deploy end-to-end AI systems that power agentic experiences in travel discovery and personalization. You will build scalable GenAI pipelines, multi-agent coordination, and user-facing interfaces across backend architectures and frontend UX/UI.

The role requires a strong background in LLMs, RAG, and multimodal AI, with leadership in production deployments and collaboration with product, design, and engineering

Qualifications

• 10+ years in software engineering, ML, and AI systems with production GenAI deployments.
• Deep expertise in LLM training, adaptation, distillation, RLHF/DPO, and RAG systems.
• Solid NLP foundation and experience with multimodal AI systems.
• Proven experience building and operating multi-agent AI platforms with observability and safety.
• Strong background in distributed GPU training, cloud infrastructure, and ML tooling.
• Demonstrated leadership in end-to-end AI product development and collaboration with product/design teams.

Responsibilities

• Architect, build, and ship enterprise-scale GenAI, RAG, and multi-agent systems end-to-end, including frontend, backend, and UI.
• Design hierarchical multi-agent ecosystems with interactive UIs, dashboards, safety/observability features.
• Develop memory architectures and adaptive retrieval systems.
• Lead implementation of RAG pipelines, vector memory, and agent orchestration frameworks.
• Train, fine-tune, adapt, and distill LLMs for production-ready chatbots and GenAI products.
• Build multimodal pipelines integrating vision, audio, text, and structured data.
• Collaborate with product and engineering to create intuitive interfaces and seamless UX.
• Mentor engineers and ML scientists; set technical standards and conduct design reviews.
• Represent the Org externally via open-source contributions, patents, and conferences.

Skills

End-to-end systems

LLM training

RAG systems

Multi-agent platforms

Distributed GPU training

Education

PhD in Computer Science or ML

Tools

LangChain

LangSmith

AutoGen

OpenAI/Claude Agents SDK

LangGraph

Job description

Expedia Group is seeking a hands-on Senior Machine Learning Scientist to design and deploy end-to-end AI systems that power agentic experiences in travel discovery and personalization. You will build scalable GenAI pipelines, multi-agent coordination, and user-facing interfaces across backend architectures and frontend UX/UI.

The role requires a strong background in LLMs, RAG, and multimodal AI, with leadership in production deployments and collaboration with product, design, and engineering