AI Engineer II
American Express2 days ago
Bengaluru, IndiaMid Level
Responsibilities
- Develop AI and Agentic AI solutions for customer engagement, sales effectiveness, and operational efficiency.
- Build LLM-powered intelligent workflows using enterprise data and tool integrations.
- Develop production-ready GenAI applications involving RAG, prompt engineering, and AI-powered business workflows.
- Build and maintain scalable data pipelines and AI solutions using Google Cloud Platform services including BigQuery, Composer/Airflow, and Dataproc.
- Integrate AI applications with enterprise systems, APIs, and data platforms while maintaining reliability and performance.
- Collaborate with product managers, software engineers, data engineers, and business stakeholders to translate requirements into AI-enabled solutions.
- Contribute to shared AI frameworks, reusable components, evaluation pipelines, and engineering standards.
- Ensure AI applications meet enterprise security, governance, responsible AI, and operational standards.
Requirements
- Require 3–5+ years of experience in software engineering, machine learning engineering, data engineering, or applied AI.
- Require hands-on experience building or integrating GenAI applications with Large Language Models.
- Require experience with Agentic AI concepts such as orchestration frameworks, tool calling, context management, or multi-step AI workflows.
- Require understanding of RAG, vector databases, prompt engineering, and LLM evaluation techniques.
- Require strong Python programming skills and experience developing backend services, APIs, and data pipelines.
- Prefer experience with LangChain, LangGraph, PyTorch, TensorFlow, or Scikit-learn.
- Require working knowledge of Google Cloud Platform, including BigQuery, Composer/Airflow, Dataproc, Cloud Storage, and related data services.
- Require understanding of cloud-native application development, distributed systems, and modern software engineering practices.
- Require knowledge of CI/CD, Docker, and production deployment concepts.
- Require problem-solving, analytical, communication, and cross-functional collaboration skills.
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.
- Generous paid parental leave, depending on location.
- Access to onsite wellness centers and confidential counseling through the Healthy Minds program, depending on location.
- Career development and training opportunities.
Tech Stack
Categories
AI ApplicationsData Engineering
About American Express
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.