American Express
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Gurugram · Hybrid · 1-3 Yrs · 5 days ago
Financial Transaction Processing · 10000+ Employees · New York, US
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let’s lead the way together. Check out the recent awards we’re proud of: • #4 on Great Place to Work's Best Companies to Work For - 2024 • Human Rights Campaign Corporate Equality Index Score of 100% (since 2004)- 2022 • Forbes America's Best Employers for Diversity - 2022 • Seramount 100 Best Companies - 2022 • Fast Company's 2022 Finance Brands That Matter
Hiring: Engineering
Interview experience · Apprentice
I went through two rounds of interview, first round with a trainer and second round with a manager. The trainer asked me behavioral questions to check if I fit the culture of the org and in addition to that I was also as
Average difficulty · Pune · 799 reports
More interview insightsJob description
Overview
Artificial Intelligence is a key driver of this transformation.
Responsibilities
- 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.
- 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
- 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.
- Develop AI-powered solutions integrating GenAI capabilities - prompts, AI agents, copilots, and RAG pipelines to improve operational productivity and automate manual processes.
- Identify and implement opportunities to automate workflows using Python, SQL, GenAI, and workflow automation tools.
- Write clean, maintainable, production-quality code and participate in code reviews and testing.
- Test and evaluate AI outputs for accuracy, relevance, and reliability using appropriate evaluation techniques.
- Stay current with emerging AI technologies and tools, and share recommendations with the team.
- Follow responsible AI practices, data privacy, security, and governance across all GenAI solutions.
- Collaborate within an agile team and support the deployment and ongoing maintenance of solutions in production.
Qualifications
- Bachelor's degree in computer science, Engineering, or a related field, or equivalent practical experience.
- 2-5 years of software engineering or applied AI/ML experience, including hands-on work building and shipping GenAI or AI-powered solutions.
- Coding & Algorithms: Strong programming skills in Python with solid command of data structures, algorithms, and the ability to write clean, correct, efficient code.
- Machine Learning Domain: Working knowledge of ML and GenAI fundamentals - model architectures (e.g., Transformers), LLMs, embeddings, prompt engineering, RAG, and core evaluation metrics (precision/recall).
- AI/ML System Design: Ability to design AI solution components and feature-level pipelines (e.g., a RAG pipeline for a document QA use case), making sound, practical design choices.
- Behavioral / Collaboration: Comfort handling ambiguity, collaborating cross-functionally, and communicating clearly in a team setting.
- Strong SQL skills for querying and manipulating enterprise datasets.
- Hands-on experience with GenAI platforms such as Azure OpenAI, OpenAI/ChatGPT, Microsoft Copilot, Gemini, or Claude.
- Experience working with APIs and integrating third-party services.
- Analytical and problem-solving skills with strong attention to detail and the ability to convert business requirements into logical workflows.
- Familiarity with cloud platforms (Azure, AWS, or GCP) and containerization (Docker, Kubernetes).
- Experience with vector databases and embeddings (e.g., FAISS, Pinecone, pgvector).
- Experience with agentic frameworks and orchestration tools (e.g., LangChain, LangGraph, Semantic Kernel, AutoGen).
- Exposure to MLOps/LLMOps practices - CI/CD, monitoring, and evaluation frameworks for AI systems.
- Experience with dashboarding/BI tools such as Power BI or Tableau.
- Awareness of model optimization concepts such as quantization (e.g., INT8/FP8).
- Knowledge of another object-oriented language (e.g., Java, C++, or Go).
- Experience building AI solutions in a regulated industry (e.g., fintech, healthcare).
- 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
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Job application FAQ
Last updated 1 November 2026
- How do I apply for AI Engineer II | Gurgaon, IN at American Express?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. American Express may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI Engineer II | Gurgaon, IN remote or on-site in Gurugram, Haryana?
- This listing is marked hybrid with location Gurugram, Haryana. Confirm details on the job description before applying.
- What skills matter for this AI Engineer II | Gurgaon, IN role at American Express?
- This is a mid-level AI Engineer II | Gurgaon, IN role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.