AE

Sr AI Engineer I

American Express

Palo Alto, UShybrid$123k-$215k/yrPosted Aug 4, 2026
Posting intelligenceActively listed

Skills

langchainexpresspythonopenaiazurecicdaws

About the role

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.

The Technology organization enables and accelerates the company’s growth strategies, delivering global capabilities and services in support of Amex’s customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.

The Enterprise AI Platforms Team creates the platforms, products, and governance that power enterprise AI. Our team enables rapid experimentation, seamless deployment, and responsible operation of AI systems at scale - delivering trusted, compliant, and high-performance AI solutions that drive meaningful business outcomes, partnering with stakeholders to support use cases from inception to implementation.

As a Forward Deployed AI Engineer, you will partner with American Express business units, product teams, and enterprise customers to identify high-value opportunities for Generative AI and intelligent automation. You will lead the design, development, and deployment of AI-powered solutions that improve customer experiences, accelerate operations, and enable data-driven decision making.

You will work at the intersection of software engineering, solution architecture, consulting, and AI innovation - translating business challenges into secure, scalable production solutions using Large Language Models (LLMs), agentic AI, cloud platforms, and enterprise data.

5+ years of software engineering or solution architecture experience.

Experience building cloud-native applications using AWS, Azure, or Google Cloud.

Strong programming skills in Python and experience with REST APIs, containers, CI/CD, and distributed systems.

Experience delivering enterprise solutions with strong customer-facing communication skills.

Bachelor's degree in computer science , Engineering, or a related field ( master's preferred).

Preferred Qualifications:

Hands-on experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source LLMs.

Experience with RAG, vector databases, AI agents, LangChain , LangGraph , Llama Index , or MCP-based integrations.

Knowledge of MLOps , model evaluation, observability, and AI governance.

Experience working within financial services or highly regulated industries.

Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

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

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

For a full list of Team Amex benefits, visit our Colleague Benefits Site .

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

Compensation

This Machine Learning Engineer role pays $123k-$215k/yr. Within typical range for machine learning engineer roles in United States.

Questions about this role

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Compensation for Machine Learning Engineer roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Machine Learning Engineer hub for United States medians across recent openings.

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