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About the Role

As a member of the B2B Supply Marketing Digital Operations Data team, you will drive strategic AI initiatives and intelligent automation efforts that power insights, personalized experiences, and next-generation marketing capabilities for our partners. This role sits within the Marketing Technology & Digital Operations Engineering organization and is responsible for identifying, building, and scaling AI-powered solutions that improve productivity, automate workflows, unlock insights, and transform how marketing teams work. The ideal candidate combines strong technical expertise with curiosity, experimentation, and a deep understanding of how AI can fundamentally change business processes.

Responsibilities

Own and drive the AI Engineering roadmap for Digital Operations, ensuring alignment with business objectives, customer needs, and organizational priorities.
Lead end-to-end delivery of AI products and solutions — from ideation, business case development, and prototyping through production deployment, adoption, and continuous optimization.
Design, develop, and deploy AI-enabled applications, copilots, intelligent agents, and workflow automation solutions that improve campaign execution, content creation, reporting, and operational workflows.
Integrate LLMs, enterprise data platforms, APIs, and marketing technologies to create end-to-end AI experiences, including retrieval-augmented generation (RAG) applications and intelligent knowledge assistants.
Partner with leaders across Marketing Operations, Web, Paid Media, CRM, Analytics, and Data Engineering to identify opportunities where AI can fundamentally transform workflows and decision-making.
Build AI solutions that combine business, operational, and marketing data to generate actionable insights and move teams from reactive reporting toward proactive recommendations and automation.
Develop reusable frameworks, playbooks, and accelerators that enable rapid experimentation and scaling of AI capabilities across Digital Operations and Marketing teams.
Lead pilots and proof-of-concepts that demonstrate measurable business impact, and drive adoption of AI-first operating models through best practices and governance frameworks.
Establish standards for AI development, testing, monitoring, governance, and responsible AI practices, partnering with Data Engineering to ensure trusted data foundations.
Stay current with advancements in Generative AI, Agentic AI, and intelligent automation, contributing to the long-term AI roadmap for Marketing Technology and Digital Operations.

Requirements

Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field; or equivalent related professional experience
8+ years of software engineering, data engineering, or platform engineering experience
3+ years of experience building AI, Generative AI, LLM, automation, or intelligent workflow solutions
Proficiency in Python and modern software engineering practices
Strong experience with AI frameworks and platforms such as OpenAI, Anthropic, LangChain, LangGraph, CrewAI, AWS Bedrock, Vertex AI, or similar technologies
Proficiency with MLOps tools and platforms including AWS SageMaker, Bedrock, MLflow, Weights & Biases, or Databricks
Strong knowledge of cloud platforms (AWS preferred) with experience deploying scalable AI services, APIs, and microservices
Proven track record of operationalizing AI/ML models in production environments with monitoring, observability, and performance optimization
Experience integrating AI solutions with enterprise applications, APIs, cloud platforms, and data ecosystems
Proficient communication skills with the ability to work both collaboratively and autonomously across technical and non-technical teams
Experience in marketing technology, including familiarity with CRM systems, marketing automation platforms, or personalization engines
Familiarity with Salesforce, Adobe Experience Cloud, Marketo, Braze, or similar MarTech ecosystems
Experience building enterprise AI copilots, assistants, or agent-based automation solutions
Knowledge of AI governance, responsible AI practices, and enterprise AI adoption strategies
Experience leading AI transformation initiatives with measurable business outcomes

Skills

AI
Generative AI
LLM
Automation
Intelligent workflow solutions
Python
OpenAI
Anthropic
LangChain
LangGraph
CrewAI
AWS Bedrock
Vertex AI
AWS SageMaker
MLflow
Weights & Biases
Databricks
AWS
APIs
Microservices
Marketing technology
CRM systems
Marketing automation platforms
Personalization engines
Salesforce
Adobe Experience Cloud
Marketo
Braze
AI governance
Responsible AI practices
Enterprise AI adoption strategies

Location

Austin
Chicago
Seattle

Work Type

Full-time

Experience Level

Senior
8+ years of software engineering, data engineering, or platform engineering experience
3+ years of experience building AI, Generative AI, LLM, automation, or intelligent workflow solutions

Education Level

Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field; or equivalent related professional experience

Salary/Compensations

Austin: $184,500.00 - $258,000.00 (potential to $295,000.00)
Chicago: $171,500.00 - $240,000.00 (potential to $274,500.00)
Seattle: $184,500.00 - $258,000.00 (potential to $295,000.00)

Benefits

Medical, dental, and vision coverage
Paid time off
Employee Assistance Program
Wellness and travel reimbursement
Travel discounts
International Airlines Travel Agent Network (IATAN) membership

About the Company

Expedia Group helps travelers explore the world, one journey at a time.
Expedia Group is a global travel company powered by passionate people, trusted partnerships, and leading technology.
We connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings.
Across our brands and business, we help travelers explore the world with confidence and ease.

Equal Opportunity

Expedia is committed to creating an inclusive work environment with a diverse workforce.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law.
This employer participates in E-Verify.
The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.