AI Engineer II
American Express · Posted Sep 28
Banking, credit card, payment network, and travel services
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About the role
American Express Tech is a global engineering organization building scalable, secure, and intelligent platforms, data, and AI systems that power commerce and customer experiences worldwide. Artificial Intelligence is embedded across core sales and customer platforms, with emphasis on governance, reliability, and responsible use at enterprise scale. This role develops enterprise AI and Agentic AI solutions, production-ready GenAI applications using LLMs and RAG, and scalable data pipelines on Google Cloud Platform, while contributing to reusable frameworks and engineering standards.
What you will do
- Develop and implement AI and Agentic AI solutions that enhance customer engagement, sales effectiveness, and operational efficiency across enterprise CRM platforms.
- Build intelligent workflows using Large Language Models (LLMs), enterprise data, and tool integrations to automate customer and business processes.
- Develop production-ready GenAI applications, including Retrieval-Augmented Generation (RAG), prompt engineering, and AI-powered business workflows.
- Build and maintain scalable data pipelines and AI solutions using Google Cloud Platform (GCP) services such as BigQuery, Composer (Airflow), DataProc, and related cloud services.
- Integrate AI applications with enterprise systems, APIs, and data platforms while ensuring operational reliability and performance.
- Collaborate with product managers, software engineers, data engineers, and business stakeholders to translate business requirements into AI-enabled solutions.
- Contribute to shared AI frameworks, reusable components, evaluation pipelines, and engineering standards.
- Ensure AI applications comply with enterprise security, governance, responsible AI, and operational standards.
Skills used in this role
What the employer is looking for
- 3–5+ years of experience in full stack -software engineering, machine learning engineering, data engineering, or applied AI.
- Hands-on experience building or integrating GenAI applications using Large Language Models (LLMs).
- Experience with Agentic AI concepts, including orchestration frameworks, tool calling, context management, or multi-step AI workflows.
- Understanding of Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and LLM evaluation techniques.
- Strong programming skills in Python and experience developing backend services, APIs, and data pipelines.
- Experience with AI/ML frameworks such as LangChain, LangGraph, PyTorch, TensorFlow, or Scikit-learn.
- Working knowledge of Google Cloud Platform (GCP), including BigQuery, Composer (Airflow), DataProc, Cloud Storage, and related data services.
- Understanding of cloud-native application development, distributed systems, and modern software engineering practices.
- Knowledge of CI/CD, containerization (Docker), and production deployment concepts.
- Good problem-solving, analytical, and communication skills with the ability to work collaboratively in cross-functional teams
Benefits and support
- Competitive base salaries
- Bonus incentives
- Support for financial-well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- 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
About American Express
American Express Company is a globally recognized multinational financial services corporation specializing in payment cards, travel-related services, and network banking. Founded in 1850, the company provides charge and credit cards, expense management products, and merchant services to consumers, small businesses, and large corporations worldwide. It operates a proprietary payments network known for its premium customer engagement and lifestyle rewards programs.
- Industry
- Banking
- Company size
- 76800 employees
- Founded
- 1850-03-18
- Location
- New York City, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Information Officer and Executive Vice President
Chief Colleague Experience Officer
Chief Marketing Officer
Recent coverage
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