Launch your career with one of the world’s leading financial services companies. American Express (Amex) is hiring Business Analysts, Software Engineers, AI Engineers, Cloud Professionals, and Technology Specialists to help build the next generation of intelligent financial services powered by artificial intelligence, cloud computing, and enterprise-scale software engineering.
Whether you’re an experienced technology professional or an early-career engineer, American Express offers exciting opportunities to work on innovative products that serve millions of customers worldwide while developing your career in a collaborative, technology-driven environment.
Why Join American Express?
At American Express, technology powers every aspect of the business—from digital payments and customer experiences to cybersecurity, cloud infrastructure, and artificial intelligence.
Employees work alongside talented engineers, product managers, designers, and business professionals to develop secure, scalable, and AI-powered solutions that shape the future of global commerce.
Career Opportunities
American Express recruits professionals across a wide range of technology and business functions, including:
Technology Careers
- Software Engineering
- AI Engineering
- Agentic AI Development
- Cloud Engineering
- Machine Learning
- Backend Development
- Full Stack Development
- Platform Engineering
- Cybersecurity Engineering
- DevOps Engineering
- Cloud Security
- Data Engineering
- API Development
Business Careers
- Business Analysis
- Product Management
- Project Management
- Digital Transformation
- Risk Management
- Technology Consulting
- Operations
- Customer Experience
- Financial Technology
Featured Role: Software Engineer – Agentic AI
American Express is expanding its Artificial Intelligence capabilities by building intelligent AI agents that automate enterprise workflows, improve decision-making, and enhance customer experiences.
Software Engineers in this role help design, develop, and deploy production-grade AI systems capable of reasoning over enterprise data while maintaining the highest standards of security, compliance, and reliability.
Key Responsibilities
Successful candidates may:
- Design and develop AI-powered software applications.
- Build Large Language Model (LLM) solutions.
- Develop agentic AI systems for enterprise automation.
- Implement Retrieval-Augmented Generation (RAG) pipelines.
- Build cloud-native software solutions.
- Develop APIs and backend services.
- Integrate AI with enterprise cloud platforms.
- Support cybersecurity automation.
- Develop Security-as-Code and Policy-as-Code solutions.
- Monitor and improve production AI systems.
- Collaborate with cross-functional engineering teams.
- Build scalable cloud infrastructure.
- Ensure responsible and secure AI deployment.
Technologies You’ll Work With
Depending on the role, professionals may use technologies including:
- Artificial Intelligence
- Generative AI
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Java
- Python
- Go
- TypeScript
- JavaScript
- Spring Framework
- REST APIs
- SQL
- Cloud Computing
- Git
- Jenkins
- Maven
- Linux
- Vector Databases
- Cloud Security Platforms
- AI Orchestration Frameworks
Qualifications
Requirements vary by role, but applicants generally should have:
- A bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field.
- Professional software development experience.
- Strong programming skills in one or more modern programming languages.
- Knowledge of software engineering best practices.
- Experience with APIs and cloud technologies.
- Strong analytical and problem-solving skills.
- Excellent teamwork and communication abilities.
- Passion for technology and continuous learning.
Preferred Skills
Competitive candidates may also have experience with:
- Machine Learning
- Prompt Engineering
- Cloud Platforms
- AI Development Frameworks
- Cybersecurity
- FinTech
- Open-source projects
- Hackathons
- Data Engineering
- Enterprise Software Development
Learning and Career Growth
American Express invests heavily in employee development through:
- Continuous technical training
- Mentorship programs
- AI learning opportunities
- Leadership development
- Cross-functional projects
- Career mobility
- Innovation initiatives
- Exposure to cutting-edge technologies
Employees are encouraged to develop new technical skills while working on impactful global products.
Work Environment
American Express promotes a collaborative workplace where innovation, inclusion, and continuous improvement drive success.
Technology teams work closely with:
- Product Managers
- Cloud Architects
- Security Engineers
- UX Designers
- Data Scientists
- Business Stakeholders
- AI Specialists
This multidisciplinary environment enables employees to solve complex business problems using modern technologies.
Locations
Technology opportunities are available across multiple global offices, including:
- Gurugram, India
- Bengaluru, India
- Chennai, India
- Additional American Express technology hubs worldwide
Many positions offer hybrid work arrangements depending on business requirements.
Why Build Your Career at American Express?
American Express continues to invest in artificial intelligence, cloud computing, cybersecurity, digital payments, and enterprise software innovation. Employees have the opportunity to work on technologies that support millions of customers while developing expertise in some of the fastest-growing areas of technology.
Whether you’re passionate about software engineering, AI, business analysis, cloud infrastructure, or digital transformation, American Express offers an environment where innovation, collaboration, and career growth go hand in hand.
How to Apply
Interested candidates should:
- Visit the official American Express Careers website.
- Search for Business Analyst, Software Engineer, AI Engineer, or Technology opportunities.
- Select the role that matches your skills and experience.
- Complete the online application.
- Upload your CV and any required supporting documents.
- Submit your application before the advertised deadline.
Applications are reviewed throughout the recruitment period, and early applications are encouraged.
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