Principal Engineer

Reposted Yesterday
Be an Early Applicant
Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Expert/Leader
Information Technology • Travel
The Role
Leads the architecture and development of reusable, production-grade AI components and services. Designs multi-model orchestration, memory, retrieval, evaluation, and agent frameworks while improving reliability, security, observability, and cost efficiency. Builds and validates AI solutions across prototyping, testing, and production, mentors engineering teams, and supports enterprise-scale adoption of generative AI through scalable cloud-native platforms.
Summary Generated by Built In

Job Title

Principal EngineerJob Description Summary

The Principal AI Engineer will help shape and lead the development of reusable, production-grade AI components as part of the AI Delivery Hub.
You’ll work hands-on across architecture, prototyping, coding, evaluation, and production engineering, ensuring that AI-powered services are secure, reliable, and efficient.
As a Senior AI Specialist within AI Delivery Hub pods, you’ll collaborate with engineers and teams to design orchestration, memory, and evaluation frameworks that accelerate AI adoption across Amadeus.

About the Role

In this role, you’ll combine deep technical knowledge with practical engineering experience. You’ll focus on building foundational AI components that ensure quality, resilience, and scalability in AI-delivered solutions.
Your collaboration will influence both product design and platform reliability—advancing the company’s vision for enterprise-ready AI.


In this role, you’ll:
  • Guide the design and implementation of reusable AI components and services.
  • Develop orchestration workflows involving multiple models, tooling integrations, and memory management.
  • Review and validate AI agent outputs across design, testing, and production phases.
  • Collaborate with teams to refine assumptions and optimize technical solutions.
  • Define AI engineering practices that strengthen evaluation and quality processes.
  • Promote cost efficiency through token monitoring, caching, and operational optimization.
  • Contribute to the reliability, security, and observability of AI solutions.
  • Support team learning in AI design, prompting, evaluation, and verification.

Your Profile
  • Considerable experience in AI engineering, software architecture, or distributed systems.
  • Practical knowledge or hands-on experience with Generative AI, large language models (LLMs), and AI agent frameworks.
  • Proficiency in Python or similar modern engineering languages.
  • Experience designing and implementing reusable AI services or platforms.
  • Understanding of multi-model orchestration, retrieval-augmented generation (RAG), and model evaluation.
  • Familiarity with containerization, APIs, microservices, and cloud-native design.
  • Sound technical judgment and an ability to make balanced, risk-informed decisions.
  • Interest in mentoring and supporting collaborative learning in technical teams.

Technical Environment

  • Languages: Python, Java
  • Frameworks: LangChain, LangGraph, Semantic Kernel, AutoGen (or similar)
  • Models: Commercial and open-source foundation models
  • Data stores: Vector, relational, document, and in-memory databases
  • Infrastructure: Docker, Kubernetes, CI/CD, Infrastructure as Code
  • Monitoring: Evaluation, tracing, observability, and AI performance tools

Nice to Have
  • Experience with multimodal or multi-agent AI systems.
  • Awareness of model serving, inference optimization, or GPU infrastructure.
  • Familiarity with AI security, guardrails, and responsible AI principles.
  • Knowledge of memory management, privacy, and context retention.
  • Exposure to technical knowledge engineering or reusable AI skill libraries.
  • Experience building large-scale shared AI platforms.

Success in this Role

You will help AI Delivery Hub teams deliver reusable, secure, and production-ready AI capabilities.
Success means that AI agents operate reliably, design and technical decisions remain coherent, and performance and cost choices are supported with measurable evidence.

Role Type: Principal individual contributor and collaborative technical leader
AI Delivery Hub Role: Senior AI Specialist
Primary Focus: AI system design, multi-model orchestration, evaluation, FinOps, and production quality


What we can offer you

🌎 A truly global DNA - Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture.
🎓 Great opportunities to learn - Learning happens all the time and in many ways at Amadeus, through on-the-job training, formal learning activities, and day-to-day interactions with colleagues.
🤗 A caring environment - Amadeus fosters a caring environment, nurturing both a fulfilling career and personal and family life. We care about our employees and strive to provide a supportive work environment.
🌟 A hybrid working model - We want our employees to do their best work, however the hybrid model works best for them.
🌈 A diverse and inclusive community - We are committed to leveraging our uniquely diverse population to drive innovation, creativity, and collaboration across our organization.
📈 A Reliable Company - Trust and reliability are fundamental values that drive our actions and shape long-lasting relationships with our customers, partners, and employees.
🎯 A critical mission and purpose - At Amadeus, you will be powering the future of travel and pursuing a critical mission and extraordinary purpose.

#LI-KA1

Diversity & Inclusion


Amadeus aspires to be a leader in Diversity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.  


Amadeus is an equal opportunity employer and committed to an accessible recruitment process. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.


Be aware of recruitment scams


Amadeus Group never charges fees, requests payment, or asks for financial information during recruitment. All legitimate opportunities are communicated solely through official Amadeus channels, including our careers website. Any payment request or outreach via unofficial platforms (e.g., WhatsApp, Telegram) should be treated as fraudulent.

Skills Required

  • Considerable experience in AI engineering, software architecture, or distributed systems
  • Practical knowledge or hands-on experience with generative AI, large language models, and AI agent frameworks
  • Proficiency in Python or similar modern engineering languages
  • Experience designing and implementing reusable AI services or platforms
  • Understanding of multi-model orchestration, retrieval-augmented generation, and model evaluation
  • Familiarity with containerization, APIs, microservices, and cloud-native design
  • Sound technical judgment and ability to make balanced, risk-informed decisions
  • Interest in mentoring and supporting collaborative learning in technical teams
  • Experience with multimodal or multi-agent AI systems
  • Awareness of model serving, inference optimization, or GPU infrastructure
  • Familiarity with AI security, guardrails, and responsible AI principles
  • Knowledge of memory management, privacy, and context retention
  • Exposure to technical knowledge engineering or reusable AI skill libraries
  • Experience building large-scale shared AI platforms
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Madrid
10,001 Employees
Year Founded: 1987

What We Do

Travel powers progress. Amadeus powers travel. Amadeus’ solutions connect travelers to the journeys they want, linking them via travel agents, search engines and tour operators to airlines, airports, hotels, cars and railways. Technology has always been critical to developing global travel, increasing scale, choice and access. We have developed our technology in partnership with the travel industry for 30 years. We combine a deep understanding of how people travel with the ability to design and deliver the most complex, trusted, and critical systems our customers need.

Similar Jobs

Hewlett Packard Enterprise Logo Hewlett Packard Enterprise

Principal Engineer

Artificial Intelligence • Cloud • Information Technology • Consulting
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
85422 Employees

Wells Fargo Logo Wells Fargo

Principal Engineer

Fintech • Financial Services
Hybrid
Bengaluru, Bengaluru Urban, Karnataka, IND
205000 Employees

Zscaler Logo Zscaler

Machine Learning Engineer

Cloud • Information Technology • Security • Software • Cybersecurity
Easy Apply
Hybrid
Bangalore, Bengaluru, Karnataka, IND
8697 Employees
Hybrid
Bengaluru, Bengaluru Urban, Karnataka, IND
289097 Employees

Similar Companies Hiring

NODA AI Thumbnail
Artificial Intelligence • Information Technology • Software • Cybersecurity
Austin, TX
54 Employees
Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
567 Employees
RapidScale Thumbnail
Cloud • Information Technology • Consulting
Raleigh, NC
600 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account