Principal AI Forward Deployed Engineer

Jobtailor

California (MO)

On-site

USD 180,000 - 240,000

Full time

2 days ago

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Job summary

Expedia Group seeks a senior AI engineering leader to drive high-value AI opportunities across business units. You will shepherd engagements from discovery through deployment, ensuring measurable outcomes and adoption.

You will define AI technology vision, design scalable architectures, and coach engineers while collaborating with executives to realize business value.

Qualifications

Deep expertise in software engineering across the full SDLC.
Experience making technology and architecture choices across teams.
Hands-on with AI-enabled systems, tools, or workflows.
Experience applying AI/ML to real-world products or processes.
Ability to partner with business units to translate needs into solutions.
Preferred: define AI engineering best practices at dept/organization level.

Responsibilities

Partner with leaders and experts to discover high-value AI opportunities and define outcomes.
Operate as a forward-deployed technical leader with business units through delivery and adoption.
Own the full lifecycle of AI initiatives from discovery to production deployment and improvement.
Translate ambiguous problems into measurable outcomes, data needs, and scalable AI systems.
Define and communicate the technology vision for AI within domains and workflows.
Design complex systems with API design, data modeling, and observability practices.
Evaluate and select models, platforms, and patterns for AI use cases.

Skills

AI initiative lifecycle management

Software engineering practices

AI/ML application experience

Technical leadership

System design and architecture

Education

Bachelor’s degree

Master’s degree

Tools

AI platforms

AI tools

Observability tools

Architectural patterns

Deployment frameworks

Job description

Partner with business-unit and functional leaders, domain experts, end users, and technologists to discover high-value AI opportunities and define measurable outcomes
Operate as a forward-deployed technical leader with business units and own engagements through delivery, adoption, and value realization
Own the full lifecycle of AI initiatives from discovery and use-case framing through technical design, prototyping, production deployment, adoption, measurement, and continuous improvement
Translate ambiguous business problems into measurable outcomes, assumptions, data requirements, and scalable AI-enabled systems
Define and communicate technology vision for AI capabilities within business-unit domains and workflows
Design complex systems using system design, API design, data modeling, observability, evaluation, and testability practices
Evaluate and select models, platforms, tools, and architectural patterns for AI use cases
Establish and evangelize software and AI engineering standards across multiple teams
Convert deployment lessons into reusable implementations, frameworks, prompts, evaluation approaches, standards, and enablement materials
Define success measures and communicate impact across adoption, quality, productivity, capacity, cycle time, cost, ROI, risk, and business outcomes
Influence technical direction and align senior leaders and partners around strategy, trade-offs, and outcomes
Develop engineers and emerging technical leaders; coach senior talent and extend engineering practices across the organization

Requirements

Bachelor’s degree with 12+ years of professional software engineering experience, or a master’s degree with 10+ years of professional software engineering experience, or equivalent professional experience
Ownership of complex systems, workflows, or platforms supporting a business unit or function and integrating with broader Expedia Group systems and cross-domain capabilities
Deep expertise in software engineering practices across the full software development life cycle
Experience making technology and architecture choices across teams and multiple technologies or languages
Hands-on experience building, deploying, or operating AI-enabled systems, tools, agents, or workflows
Experience applying AI/ML concepts to real-world products or business processes
Experience working directly with partner business units to understand ambiguous needs, deliver technical solutions quickly, and drive adoption
Preferred: experience defining AI/software engineering or architecture best practices at department or organizational level
Preferred: experience shaping product and technology direction and developing domain-level AI architecture vision
Preferred: experience designing and productionizing LLM, generative AI, retrieval-augmented generation, agentic, conversational, or AI-assisted workflow solutions
Preferred: experience establishing AI evaluation and governance practices
Preferred: experience partnering with executive and cross-organizational leaders
Preferred: demonstrated success mentoring engineers and coaching senior individual contributors
Preferred: experience evaluating industry trends and applying AI/ML approaches selectively

Core Competencies

Demonstrates expertise in AI initiative lifecycle management, from discovery to deployment, while translating business needs into measurable outcomes. Proficient in software engineering practices and capable of influencing technology direction and standards across teams.

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