Senior AI Engineer I
American Express (company site, opens in a new tab)5+ yrsBengaluruHybridDirect career pageEst. 35–55 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and ship production-grade LLM-powered and agentic AI product features impacting financial management for customers.
- Architect and implement retrieval-augmented generation (RAG) pipelines over sensitive financial data with strict correctness, auditability, and safety requirements.
- Own production AI systems for reliability, latency, cost, and failure modes; contribute to shared AI infrastructure and tooling at enterprise scale.
Minimum Requirements
- 5+ years of software engineering experience with meaningful production experience in LLMs or applied ML systems.
- Hands-on experience with LLM tooling, agentic AI patterns, and AI-assisted development workflows.
- Strong engineering fundamentals in backend systems, APIs, data pipelines, cloud infrastructure (AWS/GCP, Kubernetes).
- Work Experience Required: 5+ years in software engineering; specialized experience in AI/ML production systems.
Ideal Candidate Profile
- Experience building agentic AI systems in fintech or regulated industries with high reliability and safety requirements.
- Proven track record of shipping AI-powered or agentic systems that real users depend on in regulated or high-growth environments.
- Strong product mindset with ability to operate under ambiguity and turn concepts into reliable, customer-facing products.