AI Engineer II

At American Express, technology is at the core of how we innovate, grow, and deliver exceptional customer experiences. Joining Amex Tech means being part of a global engineering organization that is shaping the future of commerce through cutting-edge platforms, data, and Artificial Intelligence. Our teams build scalable, secure, and intelligent systems that power seamless experiences for customers and colleagues worldwide.

Artificial Intelligence is a key driver of this transformation. From intelligent automation to advanced decisioning and personalized engagement, we are embedding AI into core sales and customer platforms—while ensuring strong governance, reliability, and responsible use at enterprise scale

You will also contribute to the development of enterprise AI platforms, reusable frameworks, and engineering best practices while ensuring AI solutions are reliable, secure, and aligned with responsible AI and governance standards.

• 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).

At 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.

We 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
• 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