Sr AI Engineer I
About The Position
American Express Technologies is building AI-powered tools to improve how our production systems are monitored, supported, and maintained. This team focuses on applying Generative AI to real operational challenges—like incident triage, root cause analysis, Delivery Pipelines, and workflow automation—at an enterprise scale. We’re looking for an engineer with hands-on experience in Generative AI who wants to build practical, production-ready applications. You’ll work on systems that combine LLMs with real-world operational data to reduce manual effort, drive decisions vis data, and improve system availability.
Requirements
- 2–5 years of software engineering or data engineering experience
- Hands-on experience building solutions with demonstrated results using LLM-based applications (RAG, chatbots, or similar)
- Proficiency in Python (preferred) or Go
- Understanding of data pipelines and working with structured and unstructured data
- Familiarity with modern AI/ML tooling (e.g., LangChain, Hugging Face, or similar ecosystems)
- Experience deploying applications in cloud or containerized environments (Docker, Kubernetes, etc.)
Nice To Haves
- Experience working with vector databases, traditional databases and warehouses, and embedding-based retrieval
- Exposure to observability and/or operational data (logs, metrics, tracing)
- Experience with ITIL data, particularly incident, problem, and change
- Familiarity with APIs, microservices, or full-stack development
- Interest in applying AI to system reliability and operational effectiveness.
Responsibilities
- Build and iterate on Generative AI applications, including retrieval-augmented generation (RAG) systems and lightweight agent workflows
- Develop data pipelines that bring together logs, metrics, and operational data to support AI-driven use cases
- Prototype quickly and help transition successful ideas into production-ready tools
- Apply LLMs, embeddings, and vector databases to solve problems in incident management and system operations
- Collaborate with engineers and product partners to identify high-impact opportunities for AI in production environments
- Contribute to deployment, monitoring, and ongoing improvement of AI-powered systems
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
