Amex GBT is a place where colleagues find inspiration in travel as a force for good and – through their work – can make an impact on our industry. We’re here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. The team's responsibilities span data integration supporting customers and internal business area and AI platform development. We are looking for a talent with different skillset, a passionate technologist and dedicated to solving real-world business problems; to lead the excellence of Data/AI engineering practice. What You'll Do Partner with technologists across the business to collaboratively solve problems. Demonstrates active mentorship and rising talent identification. Develops north star vision for domain in which they are focused. Demonstrates positive impact and leadership across scope of the organization. Serves as a specialist in architecting design solution patterns to any use case. Considers business needs, application needs and articulating to interested teams and partners. Demonstrates mastery of software design, shapes coding methodologies that is scalable, resilient and stable. Possesses a deep knowledge of entire system and can jump into code in any component and fire fight and contribute. Expertise of professional software engineering practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. Leads collaboration with key partners and contributes subject matter expertise to develop unique solutions to complex issues. Have good infrastructure knowledge (AWS, Kubernetes) Have some experience with Data (BI, Reporting, Analytics, Machine Learning and so on) would be a plus What We’re Looking For NB: Development background, infrastructure (AWS) knowledge, Data awareness 8+ years for Bachelor's or equivalent, 6+ years for Master's Passionate and curious about AI in general especially Agentic AI. Proven experience in data modeling, schema design patterns and modern data access patterns (including API, streaming, data lake) and AWS Demonstrates familiarity with various cloud technologies and building data products to support batch and real-time DS, AI/ML and Deep learning applications. Independently designs, communicates and executes on architecture for moderately sophisticated data products. Has a strong understanding of testing and monitoring tools and technologies. Guides others in design of software that is easily testable and observable. Influences and contributes to product vision for the team. Proficiency in platform development using Python and/or Java. Have some experience of Sagemaker or equivalent, feature store, dashboards and so on. Has some basics around LLM, guardrails, observability, RAG, Agentic
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Job Type
Full-time
Career Level
Mid Level