American Express is hiring for Software Engineer and Model Risk Analyst/Associate (Gen AI) roles. As a Software Engineer, you’ll design, build, and optimize scalable software solutions using technologies like Java, Python, SQL, and cloud platforms. In the Model Risk role, you’ll focus on validating AI/ML models—including LLMs—and strengthening model risk frameworks across credit, fraud, and NLP domains. Both roles offer opportunities to work with cutting-edge technologies in a collaborative, innovation-driven environment.
Details about American Express Careers 2025: Hiring Software Engineer
| Company name | American Express |
| Website | www.americanexpress.com |
| Job Role | Software Engineer |
| Work Location | Gurgaon, India |
| Job Type | Full Time |
| Experience | 0-3 years |
| Qualification | Bachelor’s Degree or Masters degree. |
| Batch | Not Mentioned |
| Expected Salary | 20 LPA |
Key Responsibilities of a Software Engineer at American Express:
- Develop, test, and deploy robust, scalable features for digital workplace and servicing applications.
- Apply data structures and algorithms to optimize workflow tools and AI-enabled servicing chatbots and search as service platform.
- Work on database design, query optimization, and build ingestion pipelines
- Contribute to ML, NLP, and Generative AI initiatives for chatbots and knowledge discovery.
- Collaborate in agile teams, participating in daily stand-ups, demos, and innovation sprints.
Minimum Qualifications for a Software Engineer Role at American Express:
- B.Tech/M.Tech in Computer Science and Engineering, or equivalent with 0-3 years of experience using languages like Python, Java or C++
- Strong fundamentals of OOPS and software design patterns for production grade scalable application development
- Experience in using NoSQL/SQL databases and distributed messaging systems such as Redis, Kafka, Couchbase, Cassandra
- Good Practical experience and Hands-on knowledge with projects on ML, NLP and GENAI, along with basics of RAG (Good to have)
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Details about American Express Careers 2025: Hiring Data Science Analyst
| Company name | American Express |
| Website | www.americanexpress.com |
| Job Role | Data Science Analyst |
| Work Location | Gurgaon, India |
| Job Type | Full Time |
| Experience | 0-3 years |
| Qualification | Bachelor’s Degree or Masters degree. |
| Batch | Not Mentioned |
| Expected Salary | 15 LPA |
About the Role:
American Express is seeking an ambitious and analytical professional to join our Model Risk Management team. In this role, you will focus on managing and controlling model risk, specifically linked to next-generation Gen AI solutions, including Large Language Models (LLMs). You will play a critical role in enhancing model excellence, driving innovation, and meeting regulatory expectations across AI/ML applications.
Key Responsibilities:
- Independently oversee enterprise-wide models, with a focus on Machine Learning models applied to NLP/NLU, marketing, credit, fraud, and other business domains.
- Conduct gap assessments and establish a robust framework to strengthen model risk controls aligned with regulatory standards.
- Perform AI/ML research to identify opportunities for model improvement and business impact.
- Effectively communicate results and insights to senior leadership, stakeholders, and model committees.
- Challenge conceptual soundness, theory, and practical applications of predictive models to ensure efficiency and accuracy.
- Innovate modeling techniques and contribute to variable creation to maximize business outcomes.
- Ensure modeling accuracy and optimize efficiency using machine learning methods.
Required Qualifications:
- 0–3 years of experience in analytics, data science, machine learning, model development/validation, or model risk management.
- MBA or Master’s degree in Machine Learning, Computer Science, Statistics, or related fields from a top-tier institute.
- Hands-on experience with model development or validation.
- Strong analytical, relationship-building, and project management skills.
- Good verbal and written communication skills; ability to present complex analytical insights to non-technical stakeholders.
- Ability to work collaboratively in cross-functional teams.
- Adaptability to work in a fast-paced environment with changing priorities.
Technical Skills:
- Proficiency in at least one programming language or tool such as Python, R, or Java.
- Strong foundation in AI/ML techniques, including:
- Supervised and Unsupervised Learning
- Transfer Learning, Reinforcement Learning
- Neural Networks, Decision Trees, Random Forest, Gradient Boosting
- Deep Learning and Text Mining Algorithms
- Bayesian Models, Gaussian Processes, Graphical Models
- MapReduce techniques
Leadership and Behavioral Competencies:
- Enterprise thinking and focus on driving outcomes aligned with organizational goals.
- Continuous learning and adaptability with a commitment to integrity.
- Strong collaboration and coaching mindset.
- Ability to communicate openly, make effective decisions, and uphold leadership values.
Why Join Us
- Work at the forefront of AI innovation and risk management.
- Collaborate with leading experts and gain exposure to advanced technologies.
- Build your career in a fast-evolving and highly impactful domain.
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Disclaimer
Please note that the information provided above is based on the available details that was given in the actual American Express careers page website. For updated and latest information we will suggest you to visit the official American Express hiring site.
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