American Express

Senior AI Engineer I

American Express
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10 hours ago
Bengaluru, IndiaSenior

Responsibilities

  • Design, develop, deploy, and scale enterprise Agentic AI applications and multi-agent workflows.
  • Build reusable agent orchestration frameworks, tools, prompts, workflow libraries, state management, checkpointing, human-in-the-loop controls, and recovery mechanisms.
  • Deploy containerized AI services and APIs on GKE using Kubernetes, Helm, Docker, and automated delivery practices.
  • Build distributed batch and streaming data pipelines on GCP for AI and analytics workloads.
  • Develop RAG, vector search, semantic retrieval, document ingestion, indexing, embedding, hybrid search, and knowledge graph capabilities.
  • Improve AI system scalability, reliability, latency, throughput, observability, incident response, and operational efficiency.
  • Implement AI governance, auditability, explainability, output validation, confidence scoring, hallucination detection, and compliance controls.
  • Lead architecture reviews, provide technical direction, mentor junior engineers, establish engineering practices, and contribute to enterprise AI roadmaps.

Requirements

  • Bachelor's or master's degree in computer science, engineering, or a related field.
  • At least 8 years of software engineering experience with AI/ML or GenAI engineering.
  • Strong production software development experience with Python.
  • Hands-on experience with LangGraph, LangChain, CrewAI, AutoGen, or equivalent agent orchestration frameworks.
  • Experience deploying applications on Google Cloud Platform.
  • Strong background in data engineering, distributed systems, and large-scale data processing.
  • Experience with BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and GKE.
  • Experience building RAG, vector search, and knowledge graph solutions.
  • Experience with Kubernetes, Docker, CI/CD, and infrastructure automation.
  • Understanding of software design patterns, distributed architectures, microservices, PostgreSQL, Redis, NoSQL technologies, observability, monitoring, and production support.

Benefits

  • Competitive base salaries and bonus incentives.
  • Financial-well-being and retirement support.
  • Medical, dental, vision, life insurance, and disability benefits, depending on location.
  • Flexible hybrid, onsite, or virtual working arrangements depending on role and business need.
  • Paid parental leave, depending on location.
  • Access to onsite wellness centers and confidential counseling through the Healthy Minds program.
  • Career development and training opportunities.

Tech Stack

Categories

AI ApplicationsData EngineeringDevOps
American Express

About American Express

10,000+ employees

American Express builds a global payments network and issues consumer, small-business, and corporate cards, plus merchant acquiring and travel services. Revenue comes from card fees, interest and lending, discount/merchant fees, and network services. Founded in 1850 and headquartered in New York City, it operates the Amex acceptance network worldwide and offers co-branded cards and membership rewards across millions of cardmembers and merchants; ticker NYSE: AXP.

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