American Express hiring for AI Engineer III

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American Express is hiring for the profile of AI Engineer III . Graduates are eligible to apply for this position. This profile is open for the location of Bengaluru . Complete information about the hiring is mentioned below:

Job Overview

Company NameAmerican Express
Profile Hiring forAI Engineer III
SalaryAs per Market Standards
Work ProfileHybrid
EligibilityExperienced Jobs
LocationBengaluru
Job CategoryData Science & Analytics
Sub CategoryData Science & Machine Learning
Job IDNX12136
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Job Description
The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency, and drive competitive differentiation with speed. We support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24×7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also provide product management for core enterprise platforms, and lead technology risk and information security, enterprise data governance and platforms, digital product and design, and enterprise AI platforms on behalf of the company.

 

 
Responsibilities
Contribute to the design and implementation of LLM-powered and agentic product features.
Build and extend agentic AI workflows that reason over context, call tools, and perform actions under guidance from senior engineers.
Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, with an emphasis on correctness and safety.
Contribute to shared AI infrastructure such as LLM services, orchestration components, and evaluation or monitoring tooling.
Participate in operating AI systems in production, including monitoring, debugging, and improving reliability and performance.
Collaborate closely with product and design partners, learning to translate customer needs into technical solutions.
Core Engineering Stack

Languages: Python, Go, TypeScript, Java/Javascript.
Cloud and infrastructure: AWS and/or GCP, Kubernetes.
APIs and services: REST, gRPC.
Distributed systems: event-driven architectures, including Kafka.
Commercial and open-source LLMs integrated into agentic workflows.
Tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation
Schema validation and structured data handling AI-assisted development.
Use of AI-assisted and agentic development tools for design, implementation, testing, debugging, and refactoring.
Learning how to apply these tools responsibly while maintaining production-quality standards.
All systems are built to meet high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in a financial services environment.
 

Agentic AI and ML

Commercial and open-source LLMs integrated into agentic workflows.
Tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation
Schema validation and structured data handling AI-assisted development.
Use of AI-assisted and agentic development tools for design, implementation, testing, debugging, and refactoring.
Learning how to apply these tools responsibly while maintaining production-quality standards.
All systems are built to meet high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in a financial services environment.
 
Qualifications
4+ years of professional software engineering experience.
Some hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems (professional or project-based).
Solid engineering fundamentals in at least one backend language (Java/Javascript, Python, Go, or TypeScript).
Familiarity with APIs, basic cloud concepts, and modern development practices.
Interest in agentic AI systems, autonomy, and AI-assisted development workflows.
Willingness to learn, take feedback, and grow technical ownership over time.
Comfort working in collaborative, cross-functional teams.
A strong customer mindset and curiosity about real-world problem solving.
Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks through work, coursework, or personal projects.
Internship or early-career experience in fintech or other regulated environments.
Contributions to open-source projects, hackathons, or side projects related to AI or developer tooling.
Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain 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
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
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

 

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

To apply for this job please visit careers.americanexpress.com.

How to Apply for American Express Recruitment

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