Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.
American Express Technologies is seeking a Senior Engineer with advanced skills in Generative AI and Data Engineering to join our Production Management tooling team. Our mission is to transform how critical platforms are supported by embedding AI-first solutions into event management and system reliability. We are looking for highly motivated, creative problem solvers who are excited to design and implement innovative AI tools that address complex business challenges at scale.
ResponsibilitiesKey Responsibilities:
- Mentors junior AI Engineers and cross-functional team of colleagues, fostering a culture of excellence and innovation
- Provides guidance and support to junior engineers, fostering professional growth and development within the team
- Directs the design, development, testing, and deployment of applications and systems
- Oversees a variety of tasks, platforms, and technologies to meet evolving requirements
- Design and develop Generative AI applications, including RAG pipelines, agentic workflows, and Model Context Protocol (MCP) integrations.
- Collaborate with data owners to build data pipelines, feature engineering processes, and context enrichment strategies that optimize AI-enabled solutions.
- Prototype and deliver production-ready tools leveraging LLMs, embeddings, vector databases, and orchestration frameworks.
- Translate business and operational challenges into AI-first solutions with a product mindset, ensuring they deliver measurable improvements in system reliability, incident response, and user experience.
- Ensure production-ready deployments include appropriate logging, monitoring, and runbooks, maintaining operational excellence alongside innovation.
- Partner with multiple teams across the enterprise to identify, prioritize, and deliver product-driven GenAI opportunities that improve platforms, tooling, and processes.
- Monitors AI performance and implements improvements to optimize functionality
- Analyzes technical challenges and provides innovative solutions to enhance quality and efficiency
- Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives
Minimum Qualifications:
- Experience developing agentic AI applications and integrating multi-step reasoning into enterprise workflows.
- Strong grounding in data science techniques, including experimentation, model evaluation, and applied statistical methods.
- Exposure to observability and monitoring tools such as Splunk, Grafana, Dynatrace, and ELK.
- Hands-on experience with LLM frameworks (LangChain, LangGraph, or similar) and RAG architectures.
- Strong programming skills in Python (preferred) and/or Go, with proven ability to build both prototypes and production applications.
- Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases.
- Experience with machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
Bachelor’s degree in Computer Science, Computer Engineering, Data Science, and/or comparable experience; advanced degree preferred
- Preferred Qualifications:
- 5 – 7 years technical engineering and development experience or a related job
- Experience developing agentic AI applications and integrating multi-step reasoning into enterprise workflows.
- Experience in automation testing and documentation (i.e. automated, functional, and performance)
- Strong grounding in data science techniques, including experimentation, model evaluation, and applied statistical methods.
- Familiarity with APIs, microservices, and web technologies (React, NodeJS, SQL) to deliver end-to-end solutions.
Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.
About UsAt American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
About the TeamWe back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
- Competitive base salaries
- Bonus incentives
- 6% Company Match on retirement savings plan
- Free financial coaching and financial well-being support
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
Skills Required
- Experience developing agentic AI applications and integrating multi-step reasoning into enterprise workflows
- Strong grounding in data science techniques, including experimentation, model evaluation, and applied statistical methods
- Exposure to observability and monitoring tools such as Splunk, Grafana, Dynatrace, and ELK
- Hands-on experience with LLM frameworks (LangChain, LangGraph, or similar) and RAG architectures
- Programming skills in Python
- Programming skills in Go
- Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases
- Experience with machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face
- Bachelor's degree in Computer Science, Computer Engineering, Data Science, and/or comparable experience
- Advanced degree
- 5 - 7 years technical engineering and development experience
- Experience in automation testing and documentation (automated, functional, performance)
- Familiarity with APIs, microservices, and web technologies (React, NodeJS, SQL)
American Express Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about American Express and has not been reviewed or approved by American Express.
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Healthcare Strength — Pay is often viewed as attractive when combined with comprehensive health, dental, and vision coverage that supports day-to-day needs. The benefits package is also framed as especially helpful for those supporting dependents.
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Retirement Support — Retirement benefits are positioned as a meaningful part of total rewards through a 401(k) plan with company matching. Financial wellness services and coaching are also highlighted as strengthening longer-term financial security.
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Leave & Time Off Breadth — Paid time off is repeatedly characterized as generous and a valued component of the overall package. Time off and flexibility are presented as helping the total rewards feel more complete beyond base salary.
American Express Insights
What We Do
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day. These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more. For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together.
