AI Engineer II
American Express · Posted Oct 26
Banking, credit card, payment network, and travel services
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About the role
American Express Technology is a global engineering organization building scalable, secure, and intelligent systems that power customer and colleague experiences. AI is embedded into core sales and customer platforms with emphasis on governance, reliability, and responsible use at enterprise scale. This role develops enterprise AI platforms, reusable frameworks, and engineering best practices, building GenAI solutions such as prompts, AI agents, copilots, and RAG pipelines.
What you will do
- Develop AI-powered solutions integrating GenAI capabilities - prompts, AI agents, copilots, and RAG pipelines to improve operational productivity and automate manual processes.
- Identify and implement opportunities to automate workflows using Python, SQL, GenAI, and workflow automation tools.
- Write clean, maintainable, production-quality code and participate in code reviews and testing.
- Test and evaluate AI outputs for accuracy, relevance, and reliability using appropriate evaluation techniques.
- Stay current with emerging AI technologies and tools, and share recommendations with the team.
- Follow responsible AI practices, data privacy, security, and governance across all GenAI solutions.
- Collaborate within an agile team and support the deployment and ongoing maintenance of solutions in production.
Skills used in this role
What the employer is looking for
- Bachelor's degree in computer science, Engineering, or a related field, or equivalent practical experience.
- 2-5 years of software engineering or applied AI/ML experience, including hands-on work building and shipping GenAI or AI-powered solutions.
- Coding & Algorithms: Strong programming skills in Python with solid command of data structures, algorithms, and the ability to write clean, correct, efficient code.
- Machine Learning Domain: Working knowledge of ML and GenAI fundamentals - model architectures (e.g., Transformers), LLMs, embeddings, prompt engineering, RAG, and core evaluation metrics (precision/recall).
- AI/ML System Design: Ability to design AI solution components and feature-level pipelines (e.g., a RAG pipeline for a document QA use case), making sound, practical design choices.
- Behavioral / Collaboration: Comfort handling ambiguity, collaborating cross-functionally, and communicating clearly in a team setting.
- Strong SQL skills for querying and manipulating enterprise datasets.
- Hands-on experience with GenAI platforms such as Azure OpenAI, OpenAI/ChatGPT, Microsoft Copilot, Gemini, or Claude.
- Experience working with APIs and integrating third-party services.
- Analytical and problem-solving skills with strong attention to detail and the ability to convert business requirements into logical workflows.
- Familiarity with cloud platforms (Azure, AWS, or GCP) and containerization (Docker, Kubernetes).
- Experience with vector databases and embeddings (e.g., FAISS, Pinecone, pgvector).
- Experience with agentic frameworks and orchestration tools (e.g., LangChain, LangGraph, Semantic Kernel, AutoGen).
- Exposure to MLOps/LLMOps practices - CI/CD, monitoring, and evaluation frameworks for AI systems.
- Experience with dashboarding/BI tools such as Power BI or Tableau.
- Awareness of model optimization concepts such as quantization (e.g., INT8/FP8).
- Knowledge of another object-oriented language (e.g., Java, C++, or Go).
- Experience building AI solutions in a regulated industry (e.g., fintech, healthcare).
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
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