Data Engineer II

American Express; Chennai District; Hybrid; INR 1,500,000 - 2,400,000; Full time

Benefits offered by this job

Competitive base salaries

Bonus incentives

Flexible working model

Comprehensive medical benefits

Parental leave

Wellness services

Job summary

American Express is seeking a Data Engineer for GenAI Platform to build enterprise-grade AI capabilities and MCP tooling that power our semantic layer. This role focuses on scalable AI-enabled services, APIs, and developer platforms at scale.

You will design and maintain services, enable secure interactions between AI models and enterprise systems, and advance RAG, embeddings, and semantic search while aligning with engineering best practices.

Qualifications

• Bachelor's degree in computer science, engineering, information technology, or a related field.
• 2–5 years of software engineering experience developing scalable applications and services.
• Proficiency in Python, Java, TypeScript, or Go.
• Experience building APIs, microservices, or developer tooling in cloud environments.
• Strong understanding of software engineering principles, distributed systems, and system design fundamentals.
• Experience with source control, CI/CD pipelines, automated testing, and agile development practices.

Responsibilities

• Design, develop, and maintain services, APIs, and platform components supporting GenAI and semantic-layer capabilities.
• Build and enhance MCP tools, adapters, and integrations for secure interaction between AI models and enterprise systems.
• Implement and optimize retrieval-augmented generation, semantic search, embeddings, and knowledge retrieval solutions.
• Partner with cross-functional teams to integrate AI capabilities into business applications and developer workflows.
• Contribute to technical design discussions, architecture reviews, and engineering best practices.
• Troubleshoot production issues, improve system reliability, and optimize performance and scalability.
• Develop automated testing, monitoring, and observability solutions for operational excellence.
• Stay current on trends in Generative AI, agentic systems, MCP, and semantic technologies.

Skills

Python

Java

TypeScript

Go

APIs & Microservices

Distributed systems

CI/CD

Cloud environments

Education

Bachelor's degree in CS/Engineering/IT

Tools

Git & Source Control

CI/CD pipelines

Automated testing

Cloud platforms (AWS/Azure/GCP)

Job description

Job Description

Our GenAI Platform team and help build enterprise-grade Generative AI capabilities and MCP (Model Context Protocol) tooling that power our semantic layer. This role is ideal for a Data engineer with a strong technical foundation who is excited about AI technologies, developer platforms, and building intelligent applications at scale.

Responsibilities

Reporting to a Senior Engineering Manager or Engineering Director, you will collaborate with engineers, architects, product managers, and data teams to develop scalable, secure, and reliable AI-enabled services that accelerate innovation across the organization.

• Design, develop, and maintain services, APIs, and platform components supporting GenAI and semantic-layer capabilities.
• Build and enhance MCP tools, adapters, and integrations that enable secure interaction between AI models and enterprise systems.
• Implement and optimize retrieval-augmented generation (RAG), semantic search, embeddings, and knowledge retrieval solutions.
• Partner with cross-functional teams to integrate AI capabilities into business applications and developer workflows.
• Contribute to technical design discussions, architecture reviews, and engineering best practices.
• Troubleshoot production issues, improve system reliability, and optimize performance and scalability.
• Develop automated testing, monitoring, and observability solutions to ensure operational excellence.
• Stay current on emerging trends in Generative AI, agentic systems, MCP, and semantic technologies.

Qualifications

• Bachelor’s degree in computer science, Engineering, Information Technology, or a related field.
• 2–5 years of software engineering experience developing scalable applications and services.
• Proficiency in one or more programming languages such as Python, Java, TypeScript, or Go.
• Experience building APIs, microservices, or developer tooling in cloud environments.
• Strong understanding of software engineering principles, distributed systems, and system design fundamentals.
• Experience with source control, CI/CD pipelines, automated testing, and agile development practices.

Preferred Qualifications

• Hands-on experience with Large Language Models (LLMs), Generative AI applications, or AI development frameworks.
• Familiarity with vector databases, embeddings, semantic search, and RAG architectures.
• Exposure to MCP, agent frameworks, OpenAI tools, LangChain, LlamaIndex, or similar technologies.
• Experience with AWS, Azure, or GCP cloud platforms.
• Understanding of enterprise security, governance, and responsible AI practices

About Us

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.

About The Team

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.