Staff Software Engineer with Agentic AI

Vizient•Chicago, IL

1d•$117,600 - $206,000

About The Position

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Requirements

Staff Software Engineer with Agentic AI experience

Responsibilities

Lead technical design and day-to-day engineering execution while contributing hands-on to software development, testing, deployment, and production support.
Design and develop scalable enterprise applications, APIs, services, distributed systems, and AI-enabled solutions.
Translate product requirements and architectural direction into technical designs, implementation plans, and production-ready software.
Develop AI-enabled applications and agentic workflows using large language models, retrieval-augmented generation (RAG), enterprise data, and external tools.
Build reusable software components, services, integration patterns, and frameworks that improve engineering efficiency and solution scalability.
Apply software engineering practices for automated testing, continuous integration and delivery, observability, performance, reliability, and maintainability.
Implement secure integration patterns, access controls, error handling, monitoring, and operational safeguards across software and AI solutions.
Mentor engineers, provide technical guidance, conduct code and design reviews, and promote engineering standards across development teams.
Develop reusable AI capabilities for orchestration, model integration, tool integration, state management, evaluation, and observability.
Partner with Architecture, Security, and engineering teams to advance software and AI engineering standards, reference architectures, and responsible AI practices.