AI Engineer II

Responsibilities

You will develop and implement AI and Agentic AI solutions to enhance customer engagement, sales effectiveness, and operational efficiency across enterprise CRM platforms. This involves building production-ready GenAI applications, maintaining scalable data pipelines, and collaborating with cross-functional teams to integrate AI into business workflows.

Requirements

Candidates must have 3–5+ years of experience in software engineering, machine learning, or data engineering with hands-on experience in GenAI and LLMs. Proficiency in Python, cloud-native development on GCP, and knowledge of AI frameworks like LangChain or PyTorch are required.

Skills

• Python
• GenAI
• Agentic AI
• Large Language Models
• RAG
• Prompt engineering
• Google Cloud Platform
• BigQuery
• Airflow
• Data pipelines
• Machine learning
• Software engineering
• API development
• CI/CD
• Docker
• Distributed systems

Benefits

• Competitive base salaries
• Bonus incentives
• Financial well-being and retirement support
• Comprehensive medical, dental, vision, life insurance, and disability benefits
• Flexible working model
• Paid parental leave
• On-site wellness centers
• Healthy Minds counseling program
• Career development and training opportunities

About this role

Introducing Amex Tech & Enterprise CRM Solutions (eCRMs)

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.

Within this ecosystem, Enterprise CRM Solutions (eCRMs), part of the
International Card & Risk Services Technology organization, plays a pivotal role
in enabling customer-centric growth. eCRMs brings together engineering, product,
and business teams to deliver modern, connected CRM capabilities across both
Customer and Sales domains. The organization is focused on transforming the CRM
landscape by centralizing customer data, reducing fragmentation, and enabling
more personalized, insight-driven interactions at scale.

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.

Role Description

As an AI Engineer within Enterprise CRM Solutions (eCRMs), you will contribute
to advancing AI-driven transformation across customer and sales platforms at
American Express. Working at the intersection of data, AI, and CRM
modernization, you will help build intelligent, scalable solutions that enhance
customer engagement, improve sales effectiveness, and support compliance and
governance.

In this role, you will develop and implement AI-powered capabilities that bring
greater intelligence and automation into customer and sales processes. This
includes building GenAI and Agentic AI solutions for quality monitoring,
intelligent workflows, personalized customer experiences, and customer data
enrichment. You will work with enterprise data platforms and cloud-native
technologies to develop production-ready AI applications that integrate with
business systems and enable better decision-making.

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.

RESPONSIBILITIES

* 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. 

QUALIFICATIONS

* 3–5+ years of experience in 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.

At American Express, our culture is built on a 175-year history of
innovation, shared values 
[https://www.americanexpress.com/en-us/company/who-we-are/]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 professiona...

About American Express

Financial Services · 10,001+ employees · headquartered in New York, NY