Senior AI Engineer

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.

Role Description

Role Overview

We are building a next-generation People Assistant-a conversational AI platform designed to transform how employees interact with HR systems. This assistant will enable users to ask questions, complete transactions, and seamlessly navigate HR services through natural language.

To bring this vision to life, we are looking for a Senior AI Engineer who can design and implement a robust, scalable agentic AI architecture. You will play a critical role in orchestrating multiple AI agents, enabling them to collaborate effectively, and delivering a seamless conversational experience integrated with enterprise HR platforms.

Key Job Responsibilities and Duties

• Architect & Build Agentic AI Systems
  
  • Design and implement scalable, modular agent-based AI architectures.
  • Enable agent-to-agent (A2A) communication and coordination across workflows.
  • Develop orchestration layers that manage multi-agent interactions and decision-making.
• Conversational AI Development
  
  • Build and enhance a conversational chatbot interface (People Assistant) for employee interactions.
  • Ensure natural, context-aware, and transaction-capable conversations.
• Enterprise Integration
  
  • Integrate AI systems with platforms such as Workday, ServiceNow, and other HR tools via APIs.
  • Leverage Microsoft ecosystem capabilities for enterprise-grade solutions.
• AI Platform & Infrastructure
  
  • Deploy and manage AI services using Booking Kubernetes Service (BKS).
  • Integrate with AI gateways (e.g., Booking AI Gateway) to connect with open-source and licensed LLMs.
  • Ensure reliability, scalability, and performance of AI services in production.
• AI Innovation & Use Case Development
  
  • Identify and prototype new AI-driven use cases within People Technology.
  • Stay current with advancements in LLMs, agent frameworks, and AI orchestration patterns.
• Collaboration & Leadership

• Partner with product managers, HR stakeholders, and engineering teams.
• Provide technical leadership and mentorship to junior engineers.

• Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field.
• 5+ years of experience in software engineering with strong exposure to AI/ML systems.
• Hands-on experience designing agent-based or agentic AI systems.
• Experience with emerging paradigms such as MCPs, A2As or similar agent communication standards.
• Strong experience with:
  
  • LLM integration and prompt orchestration
  • AI orchestration frameworks and multi-agent systems
  • API-driven architectures and microservices
• Experience with cloud platforms (preferably AWS ) and container orchestration (Kubernetes).
• Strong programming skills in Python (or similar languages).
  
  Preferred:
• Familiarity with HR enterprise platforms such as Workday and ServiceNow.
• Knowledge of conversational AI design, NLU/NLP systems, and dialogue management.
• Experience working with AI gateways or model routing layers.
• Exposure to security, compliance, and governance in enterprise AI systems.

• The benefits and perks offered by the company can be found here.

• Learn more about Your Career Journey here.
• Become a Mentee and benefit from a mentoring relationship with a more experienced person to help you identify and achieve your professional and personal development goals.