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AI Engineer III at American Express

NEW
Location
Bengaluru, Karnataka, India
Job type
Full time
Posted 1 day ago
Description
Job Responsibilities

Develop and implement AI and Agentic AI solutions that enhance customer engagement, sales effectiveness, and operational efficiency across enterprise CRM platforms.
Build intelligent workflows using Large Language Models (LLMs), enterprise data, and tool integrations to automate customer and business processes.
Develop production-ready GenAI applications, including Retrieval-Augmented Generation (RAG), prompt engineering, and AI-powered business workflows.
Build and maintain scalable data pipelines and AI solutions using Google Cloud Platform (GCP) services such as BigQuery, Composer (Airflow), DataProc, and related cloud services.
Integrate AI applications with enterprise systems, APIs, and data platforms while ensuring operational reliability and performance.
Collaborate with product managers, software engineers, data engineers, and business stakeholders to translate business requirements into AI-enabled solutions.
Contribute to shared AI frameworks, reusable components, evaluation pipelines, and engineering standards.
Ensure AI applications comply with enterprise security, governance, responsible AI, and operational standards.

Qualifications

3–5+ years of experience in software engineering, machine learning engineering, data engineering, or applied AI.
Hands-on experience building or integrating GenAI applications using Large Language Models (LLMs).
Experience with Agentic AI concepts, including orchestration frameworks, tool calling, context management, or multi-step AI workflows.
Understanding of Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and LLM evaluation techniques.
Strong programming skills in Python and experience developing backend services, APIs, and data pipelines.
Experience with AI/ML frameworks such as LangChain, LangGraph, PyTorch, TensorFlow, or Scikit-learn.
Working knowledge of Google Cloud Platform (GCP), including BigQuery, Composer (Airflow), DataProc, Cloud Storage, and related data services.
Understanding of cloud-native application development, distributed systems, and modern software engineering practices.
Knowledge of CI/CD, containerization (Docker), and production deployment concepts.
Good problem-solving, analytical, and communication skills with the ability to work collaboratively in cross-functional teams.


American Express
americanexpress.com
500+

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American Express
americanexpress.com
500+

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Frequently Asked Questions

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Why Work at American Express

American Express has consistently been acknowledged as a leader in financial services, renowned for its commitment to delivering enriched customer experiences and groundbreaking financial products. Established more than 170 years ago, it has cemented its reputation through innovation, reliability, and exceptional customer service. Working at American Express offers unparalleled growth opportunities due to its global presence and extensive industry influence. As part of its innovative team, employees are encouraged to drive change, bolster digital transformations, and introduce new solutions that meet the ever-evolving needs of their customers.

American Express places a strong emphasis on diversity and inclusion, ensuring that every employee feels valued and heard. This commitment is evident in its comprehensive support programs, including professional development opportunities, employee recognition initiatives, and competitive compensation packages. Working at American Express not only means building a promising career but also being part of a culture that values ethics, integrity, and community. As an employee, you will be empowered to make impactful decisions and contribute positively to the company's growth and success.

What's It Like to Work at American Express

Working at American Express means being part of a collaborative and high-energy environment where innovation is at the forefront. Employees often describe the company culture as supportive and inclusive, with teams that emphasize teamwork, respect, and equal opportunity. It's a place where individuals are not just encouraged to share their ideas but are also provided the resources and backing to bring them to fruition.

At American Express, professional development is highly prioritized. Employees are presented with ample opportunities to advance in their careers through regular training sessions, mentorship programs, and cross-functional projects that stretch their skills and capabilities. Furthermore, American Express promotes work-life balance, providing flexible work arrangements and wellness programs that support the overall well-being of its employees. The Bengaluru office, specifically, thrives on innovation and serves as a hub for technological advancement and strategic growth.

What's It Like to Work as an AI Engineer III at American Express

As an AI Engineer III at American Express, you will play a pivotal role in harnessing artificial intelligence to optimize financial products and services. This position is suited for individuals with strong analytical skills and a passion for cutting-edge technology. You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to develop AI-driven solutions that enhance customer engagement and operational efficiency.

The role offers a vibrant environment where you can apply your expertise in machine learning, data modeling, and algorithm development. The position demands innovation and creativity, allowing engineers to explore novel approaches and technologies that can transform customer experiences. The AI Engineer III role is central to American Express's mission to lead the industry through technological excellence and forward-thinking strategies. Here, you will not only refine your skills in AI but also gain insights into its application in high-stakes financial services.

AI Engineer III Interview Questions at American Express

Candidates for the AI Engineer III role at American Express can expect interview questions that assess both technical proficiency and problem-solving abilities. Some of the typical questions might include:

  1. Explain how you would design an AI model to improve credit card fraud detection.
  2. Discuss a time you had to overcome a technical challenge related to machine learning or AI.
  3. How do you keep updated with the latest developments in AI technology?
  4. Describe a successful AI project you managed, including the goals, challenges, and outcomes.
  5. What approaches do you use to ensure data privacy and security in AI implementations?

These questions are designed to gauge not only your technical knowledge and expertise but also your ability to apply these skills to real-world challenges at American Express.

AI Engineer III Interview Preparation at American Express

Preparation for an AI Engineer III interview at American Express should focus on both in-depth technical knowledge and a solid understanding of the company's values and technological strategies. Candidates should revise fundamental AI concepts such as supervised and unsupervised learning, deep learning, neural networks, and natural language processing.

Additionally, it is crucial to familiarize yourself with American Express’s current technological initiatives and how AI is applied within their products and services. Practicing problem-solving scenarios, reviewing case studies on AI ethics and compliance, and preparing to discuss your previous projects in detail can be hugely beneficial. Being able to articulate your technical decisions and their impact on business outcomes is often a key focus during the interview process.

AI Engineer III Interview Tips at American Express

Here are some tips to excel in your AI Engineer III interview at American Express:

  1. Research the Company: Have a strong understanding of American Express’s ethos, values, and the role of AI within their operations. Knowing their latest initiatives will give you an edge during discussions.

  2. Know Your Technical Stuff: Make sure that you can confidently discuss AI concepts, tools, and frameworks you've worked with. Be prepared to solve problems on the spot and explain your reasoning clearly.

  3. Highlight Your Experiences: Use specific examples from your past experiences where you applied AI to solve complex problems. Quantify your achievements to provide a clear picture of your impact.

  4. Soft Skills Matter Too: Communication, teamwork, and adaptability are equally important. Demonstrate your ability to work collaboratively and convey complex ideas effectively.

  5. Ask Insightful Questions: Prepare questions to ask about the role, the team, and the company’s future developments in AI. This will show your enthusiasm for the position and eagerness to contribute.

By following these tips and preparing thoroughly, you can position yourself as a promising candidate for the AI Engineer III position at American Express, ready to contribute to impactful projects within the company.