Principal AI Marketing Platform Engineer

Expedia Group

Seattle (WA)

On-site

USD 231,000 - 324,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision coverage
Travel discounts

Job summary

Expedia Group is seeking a senior software engineer to shape an AI-native marketing platform that interfaces with agents and explores scalable architectures for data, services, and orchestration. You will partner with product, marketing, data science, and architecture leaders to drive high-impact engineering outcomes.

The role requires deep backend skills, experience with cloud systems (AWS), Kubernetes, and observable, cost-efficient services.

Qualifications

  • 10+ years of hands-on software engineering experience (or 6+ with a Master’s).
  • Hands-on experience with agentic / AI systems (LLMs, RAG, tools/MCPs, agent orchestration).
  • Demonstrated expertise in systems architecture, API design, and integrating third‑party products and platforms.

Responsibilities

  • Set technical vision for agentic marketing and own the outcomes.
  • Lead technical vision and target architecture for the agentic marketing platform - spanning data, services, workflows, experimentation, third-party APIs, and agent-facing surfaces.
  • Translate the agentic search strategy and investment roadmap into a sequenced, opinionated engineering plan with clear trade-offs and success criteria.
  • Partner with product, marketing, data science, SEO/AEO, and architecture leaders to align on priorities, interfaces, and ownership boundaries.
  • Work cross functionally with many internal and external teams to deliver outcomes with proven ability to influence without direct authority.

Skills

Hands-on software engineering
AI systems
API design
Cross-functional collaboration
Cloud platforms
Kubernetes

Tools

AWS
Kubernetes

Job description

Expedia Group is seeking a senior software engineer to shape an AI-native marketing platform that interfaces with agents and explores scalable architectures for data, services, and orchestration. You will partner with product, marketing, data science, and architecture leaders to drive high-impact engineering outcomes.

The role requires deep backend skills, experience with cloud systems (AWS), Kubernetes, and observable, cost-efficient services.

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