Booking

AI engineer for enterprise applications

In short

This AI engineer role at Booking.com focuses on applying AI technologies—LLM-powered applications, AI coding assistants, AI-based search tools—to automate workflows, support production systems, and advise on business challenges. The job is hybrid in Amsterdam and involves resolving production incidents, ensuring compliance with SOx, PCI, PII, and GDPR, and mentoring junior colleagues. It requires practical AI experience, production software engineering background, and proficiency in Java, SQL, or Python, plus a related bachelor's degree or 3–5 years of equivalent experience.

About
Booking.com makes it easier for everyone to experience the world through its products, partners, and people.
Responsibilities
•Advise on business challenges and use AI tools to automate workflows and support data-driven decisions
•Collaborate with team members, product managers, and stakeholders, communicate clearly, and share AI methodologies and knowledge with the team
•Analyze information, identify issues, and develop solutions using logical and analytical thinking
•Identify and apply AI and automation opportunities to streamline workflows and improve team efficiency
•Share knowledge and methodologies, and support junior colleagues through coaching and mentoring
•Evaluate architecture options against cost, business, and technology requirements, including emerging AI-native technologies
•Describe system implications and design and defend adaptable solutions that meet current requirements
•Consider failure engineering, scaling, data storage and caching, security, and compliance standards
•Evaluate and improve system health using engineering best practices
•Resolve production issues, mitigate customer impact within SLA, and lead production incident response
•Contribute to incident tracking, postmortems, and root cause analysis
•Triage, prioritize, troubleshoot, and monitor system performance using observability frameworks
•Secure production systems in line with company policies, standards, and industry practices
•Ensure compliance with SOx, PCI, PII, and GDPR requirements
•Document system architecture, write runbooks, and reduce single points of failure
•Automate infrastructure provisioning and apply backup and restore procedures
Requirements
•Practical professional experience with AI technologies, including LLM-powered applications, AI coding assistants, AI-based search and knowledge tools, prompt and context engineering, and evaluating, configuring, and integrating AI-powered SaaS solutions
•Awareness of responsible AI use, data privacy, and governance frameworks
•Production software engineering experience, curiosity about AI, good judgment, resourcefulness, and communication skills to support safe adoption
•Proficiency in one or more programming languages, such as Java, SQL, or Python
•A bachelor's degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field, or 3–5 years of progressively responsible experience in the specialty as equivalent
•Growing understanding of Business Applications and the ability to translate business needs into technical solutions in a large-scale organization
•Proactive, results-driven, analytical mindset and strong verbal and written communication skills; able to work primarily within team scope with occasional cross-team interaction
Conditions
•Competitive compensation and benefits package
•Annual paid time off and generous paid leave, including parent, grandparent, bereavement, and care leave
•Up to 20 days per year working from abroad (home country)
•Product discounts up to 1400 per year, automatic Genius Level 3 status, and Booking.com wallet credit
•This role does not come with Relocation Assistance
•Pre-employment screening may include employment history, education, and other information necessary to determine qualifications and suitability, as permitted by applicable law

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