Enterprise AI Engineer II

About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.

Leadership/Team Quote:

Enterprise Engineers in the Collaboration & Productivity track are the digital workplace enablers for all employees at Booking.com. Think of us as the productivity accelerators of our organization, clearing the path so thousands of colleagues can do their best work, every day.

Role Description:

We are looking for an Enterprise AI Engineer II for our Central Tech Business Unit in the The Business Applications team which is part of the Productivity & Collaboration Track within the IT Services organization part of Central Tech. 

This is role is to be based out of Amsterdam, Netherlands

The purpose of this role is to enhance and maintain AI Solutions in enterprise applications that support Booking.com's operations, contributing to the overall efficiency and productivity of the company. The Enterprise Application Engineer II owns solutions end-to-end, contributing greatly to the smooth operation of the enterprise. They support small, medium and large-scale product implementations to help the day-to-day work of colleagues, applying defined best practices and delivering value primarily within their team’s scope.

Key Job Responsibilities and Duties

• Business Consultancy: Advise on business challenges and use AI tools to automate workflows and support data-driven decisions.

• Stakeholder Management, Collaboration, Communication: Effectively engaging with team members, product managers, and relevant stakeholders within the team scope, working collaboratively and clearly conveying information to achieve shared goals. Sharing knowledge and work on AI methodologies to develop the team.

• Analysis, Innovation, Problem-Solving: Examining information to identify issues and developing solutions using logical and analytical thinking. Challenges the status quo and, with the support of more senior engineers, delivers improved engineering practices. Actively identifies and applies AI and automation opportunities to streamline workflows and increase team efficiency.

• Coaching, Knowledge Sharing & Mentoring: Actively sharing experiences, knowledge, and work methodologies to facilitate growth and development of colleagues. Demonstrating awareness of mentoring and coaching practices, supporting more junior team members with their craft.

• Systems Design: Evaluates possible architecture solutions taking into account cost, business and technology requirements, and emerging AI-native technologies. Describes system implications and is able to design and defend solutions that meet current requirements and are adaptable for future enhancements, considering Engineering for Failure, Scaling, Data Storage and Caching, and Security and Compliance Standards. Evaluates and improves system health by applying engineering best practices.

• Technical Incident Management: Addresses and resolves live production issues by mitigating customer impact within SLA, taking the lead on production incidents. Tracks incidents by contributing to postmortem processes and root cause analysis, applying Incident Communication, Log Analysis and Incident Response Process practices. Demonstrates ability to triage, prioritize, troubleshoot, and monitor system performance using observability frameworks.

• Production systems best practices: Secures production systems by following company policies, standards, and industry security best practices. Ensures compliance (SOx, PCI, PII, GDPR) at all times. Reduces single points of failure by documenting system architecture and writing runbooks. Ensures resiliency and uptime by automating infrastructure provisioning, with sufficient knowledge of backup/restore procedures and awareness of Configuration Management and Data Retention strategies.

Role Qualifications and Requirements 

• AI Skills & Tooling (Required): Practical experience with AI technologies in a professional context, including LLM-powered applications, AI coding assistants (e.g. GitHub Copilot, Codex, Claude Code, Windsurf, Cursor, etc), AI-based search and knowledge tools (e.g. Glean), prompt/context engineering fundamentals, and the ability to evaluate, configure and integrate AI-powered SaaS solutions. Awareness of responsible AI use, data privacy, and governance frameworks is essential.

• Strong engineer with production experience, high curiosity about AI, good judgement, resourcefulness, and the communication skills to help others adopt it safely.

• Experience in software development with proficiency in one or more coding languages such as Java, SQL, Python, or similar.

• 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.

• Business Applications Acumen: Growing understanding of Business Applications and the ability to translate business needs into technical solutions within the context of a large-scale organisation such as Booking.com.

• Problem-Solving & Communication: A proactive, results-driven, and analytical mindset with strong verbal and written communication skills, operating primarily within team scope with occasional cross-team interaction.

Benefits & Perks - Global Impact, Personal Relevance:

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:

• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave

• Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)

• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit 

Inclusion at Booking.com: 

Inclusion has been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations. 

Take it from our Chief People Officer, Paulo Pisano: “At Booking.com, the diversity of our people doesn’t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It’s a place where you can make your mark and have a real impact in travel and tech.” 

We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

Application Process: 

• Let’s go places together: How we Hire

• This role does not come with Relocation Assistance

Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. 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, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.