AI Engineer II - Agentic AI at Amex Group, Bengaluru/Bangalore, India

American Express fosters a culture grounded in 175 years of innovation and leadership. We are committed to supporting our customers, communities, and colleagues, delivering differentiated products and world-class customer service with a strong risk mindset to uphold our promise of trust, security, and service. Joining Amex Tech means contributing to a significant endeavor, working alongside talented tech teams, and building a unique career with the Powerful Backing of American Express. We aim to power your success by providing opportunities to work with the latest technologies and contribute to the broader engineering community through open source.

The Technology organization at American Express is crucial for enabling and accelerating the company's growth strategies. We deliver global capabilities and services that support our customers and colleagues, ensuring 24/7 servicing and availability for a high-quality customer experience. Technology forms the foundation of our operations, driving differentiation through innovative technology and data insights.

Artificial Intelligence is revolutionizing commerce and redefining customer expectations at American Express. Within Amex Technology, we are developing platforms, products, and governance frameworks to responsibly scale agentic AI systems across the enterprise. Our focus is on agentic AI development, creating intelligent, adaptive systems capable of planning, reasoning, and acting autonomously across complex workflows, while adhering to stringent financial services standards for security, explainability, reliability, and compliance. We collaborate closely with product, design, and business teams to deliver agentic capabilities that streamline operations, enhance decision-making, and transform customer interactions.

The Role: AI Engineer II - Agentic AI

As an AI Engineer II - Agentic AI, you will be instrumental in the hands-on development of production agentic AI systems that process real financial data and serve actual customers. You will work with experienced engineers, product managers, and designers to design, build, and deploy AI-powered features, gaining experience in a regulated, customer-facing environment. This role offers strong mentorship and growth opportunities in LLMs, agentic systems, and production AI engineering. This is a production-focused role involving writing code, contributing to system design, and assisting in post-launch operations under senior guidance.

What You'll Do

• Contribute to the design and implementation of LLM-powered and agentic product features.
• Build and extend agentic AI workflows that process context, utilize tools, and perform actions under senior engineer guidance.
• Assist in implementing and maintaining retrieval-augmented generation (RAG) pipelines for financial data, prioritizing correctness and safety.
• Contribute to shared AI infrastructure, including LLM services, orchestration components, and evaluation/monitoring tools.
• Participate in the operational aspects of AI systems in production, including monitoring, debugging, and enhancing reliability and performance.
• Collaborate closely with product and design partners to translate customer needs into effective technical solutions.

Technical Environment

We encourage growth within a modern, enterprise-scale engineering environment focused on agentic AI, rather than adhering to a narrow skill checklist.

Core Engineering Stack

• Languages: Python, Go, TypeScript
• Cloud and Infrastructure: AWS and/or GCP, Kubernetes
• APIs and Services: REST, gRPC
• Distributed Systems: Event-driven architectures, including Kafka

Agentic AI and ML

• Integration of commercial and open-source LLMs into agentic workflows.
• Tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation.
• Schema validation and structured data handling.

AI-Assisted Development

• Utilization of AI-assisted and agentic development tools for design, implementation, testing, debugging, and refactoring.
• Learning responsible application of these tools while maintaining production-quality standards.
• All systems are built to uphold high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in the financial services sector.

What We're Looking For

• 3+ years of professional software engineering experience.
• Hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems (professional or project-based).
• Solid engineering fundamentals in at least one backend language (Python, Go, or TypeScript).
• Familiarity with APIs, basic cloud concepts, and modern development practices.
• Enthusiasm for agentic AI systems, autonomy, and AI-assisted development workflows.
• A willingness to learn, accept feedback, and grow technical ownership.
• Comfort working in collaborative, cross-functional teams.
• A strong customer mindset and curiosity for solving real-world problems.

Preferred Qualifications

• Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks through work, coursework, or personal projects.
• Internship or early-career experience in fintech or other regulated environments.
• Contributions to open-source projects, hackathons, or side projects related to AI or developer tooling.