Software Engineer 2 - CorePointAI

U.S. Bank

Cincinnati, Northern (OH, KY)

Hybrid

USD 90,000 - 130,000

Full time

3 days ago
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Job summary

U.S. Bank seeks an experienced software engineer to design, develop, and maintain scalable AI-enabled software solutions. You will build RESTful APIs and microservices on cloud-native platforms, leveraging Azure OpenAI and AI tooling to deliver data-driven applications.

You will collaborate with Product, Engineering, Data, and AI teams to translate business needs into technical designs, participate in architecture reviews, and drive CI/CD modernization across the lifecycle.

Qualifications

  • Strong proficiency in Java or Python for enterprise apps.
  • Experience building RESTful APIs and microservices.
  • Cloud experience with Microsoft Azure and AI services.
  • Knowledge of DevOps, CI/CD, IaC, and automated testing.
  • familiarity with LLMs, AI governance, and enterprise AI patterns.

Responsibilities

  • Design, develop, and support scalable software solutions across the enterprise.
  • Build and maintain APIs, microservices, and cloud-native apps.
  • Develop AI-powered integrations and RAG architectures.
  • Collaborate with product, engineering, data, and AI teams to translate requirements.
  • Participate in architecture reviews, design discussions, and code reviews.
  • Promote DevOps, CI/CD, testing, monitoring, and operational excellence.

Skills

Java
Python
REST APIs
Cloud-native
Azure
LLMs
DevOps

Tools

Azure OpenAI
Azure AI Search
Semantic Kernel
LangChain
Vector databases

Job description

This position will be responsible for the analysis, design, testing, development and maintenance of best in class software experiences. The candidate is a self-motivated individual who can collaborate with a team and across the organization. The candidate takes responsibility of the software artifacts produced adhering to U.S. Bank standards in order to ensure minimal impact to the customer experience. The candidate will be adept with the agile software development lifecycle and DevOps principles.**Essential Responsibilities:*** Design, develop, and support scalable software solutions that enable **CorePointAI** capabilities across the enterprise.* Build and maintain **APIs, microservices, and cloud-native applications** utilizing modern software engineering practices.* Develop integrations that support **AI-powered, data-driven applications** and enterprise automation initiatives.* Design and implement **Retrieval Augmented Generation (RAG)** solutions, including document ingestion, embeddings, vector search, and prompt engineering.* Collaborate with **Product Management, Engineering, Data, and AI teams** to translate business requirements into technical solutions.* Participate in **architecture reviews, technical design discussions, code reviews, testing, and deployment activities**.* Drive adoption of **DevOps, CI/CD, automated testing, monitoring, and operational excellence** practices across the engineering lifecycle.* Ensure solutions meet enterprise standards for **security, scalability, performance, reliability, and responsible AI governance**.**Preferred Skills/Experience*** Strong proficiency in **Java, Python, or similar object-oriented programming languages** with experience developing enterprise applications.* Hands-on experience building **RESTful APIs, microservices architectures, and cloud-native solutions**.* Expertise with **Microsoft Azure**, including development, deployment, and operational support of cloud-based applications.* Experience designing and supporting **RAG architectures**, including document processing, chunking strategies, embeddings, vector search, and prompt optimization.* Knowledge of **Large Language Models (LLMs), Generative AI technologies, and enterprise AI solution patterns**.* Strong understanding of **DevOps, CI/CD pipelines, Git, Infrastructure as Code, and automated testing frameworks**.* Experience with **Azure OpenAI, Azure AI Search, Semantic Kernel, LangChain, or comparable AI frameworks and services**.* Knowledge of **vector databases, enterprise search platforms, AI security, model governance, responsible AI practices, and enterprise software delivery**.**Location expectations**This role requires working from a U.S. Bank location three (3) or more days per week.At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at - all from Day One.
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