American Airlines
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Hyderabad · On-site · 3-6 Yrs · Oct 1
Airlines, Airports & Air Transportation · 10000+ Employees · Fort Worth, US
Embark on an adventure with a commitment to service, excellence and humanity. Our team is what powers our airline. We are proudly dedicated to our purpose of caring for people on life’s journey, including connecting our customers to the people and places they love or providing our team members development and leadership opportunities to acquire new skills and explore their potential. With more than 1,400 aircraft in our mainline and regional fleets combined and an extensive route network that touches six continents, we’ve got a place for you to start — or continue — your career. Whether you’re stationed at one of our hundreds of airports, working out of our state-of-the-art headquarters in Fort Worth, Texas, or serving customers over the phone from your home office, there are endless opportunities for you to grow and lead at American.
Hiring: Engineering
What employees say
+ Good bonus, good diversity ok work life balance
− Slow growth and promotions over all
More reviews on the company profile.
Interview experience · Revenue Management Analyst
I was excited about the prospect of joining the Revenue Optimization team at American Airlines, but the interview experience was honestly one of the worst I have encountered in my career. From the moment the call starte
Average difficulty · India · 34 reports
More interview insightsJob description
Overview
Responsibilities: • Writes, tests, and documents technical work products (e.
Responsibilities
- Writes, tests, and documents technical work products (e. g., code, scripts, processes) according to organisational standards and practices
- Devotes time to raising the quality and craftsmanship of products and systems.
- Conducts root cause analysis to identify domain-level problems and prescribes action items to mitigate.
- Designs self-contained systems within a team's domain, and leads implementations of significant capabilities in existing systems.
- Coaches team members in the execution of techniques to improve reliability, resiliency, security, and performance.
- Decomposes intricate and interconnected designs into implementations that can be effectively built and maintained by less experienced engineers.
- Anticipates trouble areas in systems under development and guides the team in instrumentation practices to ensure observability and supportability.
- Defines test suites and instrumentation that ensures targets for latency and availability are being consistently met in production.
- Leads through example by prioritising the closure of open vulnerabilities.
- Evaluates potential attack surfaces in systems under development, identifies best practices to mitigate, and guides teams in their implementation.
- Leads team in the identification of small batches of work to delivery the highest value quickly
- Ensures reuse is a first-class consideration in all team implementations and is a passionate advocate for broad reusability
- Formally mentors teammates and helps guide them to and along needed learning journeys.
- Observes their environment and identifies opportunities for introducing new approaches to problems.
Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
- 3+ years of experience designing, developing, and implementing large-scale solutions in production environments.
- Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
- Airline Industry experience.
- Ability to effectively communicate both verbally and in writing with all levels within the organisation.
- Python (backend services/APIs, automation, testing).
- SQL (advanced querying, window functions, optimisation, data modelling fundamentals).
- REST APIs, JSON, service integration patterns.
- Hands-on experience with at least one enterprise-grade agent framework such as:
- LangGraph/Crew AI/ Autogen (or equivalent agent orchestration frameworks).
- Copilot Studio agents /Open AI agents (or equivalent).
- Agent orchestration, tool/function calling, structured outputs, evaluation and iteration patterns.
- Power BI and/or Tableau.
- Metrics definition, reporting automation, executive-ready dashboards.
- Microsoft Azure or AWS.
- Data pipelines/ELT concepts, dataset curation for analytics.
- Integration with an enterprise risk assessment and governance workflow platform (tool-agnostic).
- Applied understanding of ML lifecycle concepts
- Familiarity with LLM concepts like prompting, context handling, grounding patterns like RAG, Evals, Agent Behaviour Monitoring, etc.
- Working awareness of AI/data regulations and governance expectations such as GDPR, EU AI Act, and similar privacy/AI governance frameworks.
- Understanding of governance controls: evidence capture, auditability, traceability, Observability, exception management, and reporting.
- Object-oriented design and clean coding principles.
- Version control (Git) and CI/CD fundamentals.
- Testing practices (unit/integration), documentation, logging/monitoring, operational readiness.
- Microsoft Certified: Azure Data Engineer Associate / Azure Developer Associate / Azure AI Engineer Associate.
- AWS Certified Developer - Associate / AWS Certified Data Engineer - Associate (or equivalent AWS certifications).
- Power BI or Tableau certification (if applicable/available).
- Any relevant certifications in data privacy or AI governance/risk (e. g., privacy fundamentals, responsible AI).
- Familiarity with DevOps toolchains (e. g., CI pipelines, code quality checks, artefact repos).
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Job application FAQ
Last updated 25 October 2026
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- This is a senior Sr. Engineer - IT Machine Learning role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.