Principal AI Engineer (Data Science/ML)

TL;DR

Principal AI Engineer (Data Science/ML): Driving the technical vision and implementation of AI-driven systems to power hirify.global's personalized traveler experiences with an accent on AI automated data engineering. Focus on building agentic systems that understand traveler intent and enable hyper-personalized travel experiences in real-time.

Location: United States - Washington - Seattle

Salary: $231,000.00 to $323,500.00

Company

hirify.global brands power global travel for everyone, everywhere.

What you will do

• Drive the technical vision, architecture, and implementation of AI-driven systems and services that power critical hirify.global products across multiple domains.
• Design and review complex system architectures, including detailed low-level designs, API contracts, and data models that enable robust, scalable, and secure AI capabilities.
• Lead end-to-end delivery of AI features and platforms, from problem framing and data/feature strategy through model integration, evaluation, and safe deployment into production.
• Build agentic systems that produce traveler data products that form the foundation of personalization across the entire customer journey.
• Mentor and technically guide engineers across teams, elevating AI engineering practices, code quality, observability, and reliability for services operating at global scale.
• Collaborate with product, data science, and platform teams to translate ambiguous business and customer problems into well-defined technical solutions leveraging ML, optimization, and intelligent automation.

Requirements

• Bachelor’s degree in Computer Science or a related technical field or equivalent experience.
• 12+ years of relevant professional experience.
• Extensive professional experience designing, building, and operating large-scale, distributed backend or full-stack services.
• Demonstrated expertise in system design, API design, and data modeling for high throughput, low latency services.
• Proven ability to own and drive technical direction and execution across multiple services or domains, influencing architecture and standards across teams, with strong software engineering skills in one or more modern programming languages.

Nice to have

• Advanced degree in a relevant technical field (e.g., Computer Science, Machine Learning, Applied Mathematics) with a focus on AI, ML, or large-scale distributed systems.
• Track record of defining and evolving technical architectures for AI-powered platforms or products operating at global scale, including data pipelines, feature stores, and online inference systems.
• Expertise in building and integrating ML models into production services, including experimentation frameworks, evaluation, monitoring, and safe rollout strategies for AI-driven features.
• Experience leading cross-functional technical initiatives and establishing best practices for reliability, performance, security, and cost optimization in AI-intensive systems.
• Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real-world products.

Culture & Benefits

• Full benefits package, including travel perks, generous time-off, parental leave, a flexible work model, and career development resources.
• Open culture where everyone belongs, differences are celebrated, and know that when one of us wins, we all win.
• Wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership.