Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Vizient, Inc

Staff Software Engineer – Agentic AI

Vizient, Inc

. Lead technical design and day-to-day engineering execution .

Posted 10/5/2026full-timeUnited StatesLead💰 $117,600 - $206,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing scalable enterprise applications, APIs, and AI-enabled solutions, while applying best practices in automated testing, continuous integration, and secure integration patterns. Proven ability to mentor engineers and collaborate with cross-functional teams to uphold engineering standards and responsible AI practices.

Highest-signal resume keywords
AI-Enabled Application DevelopmentScalable Enterprise Application DesignAutomated Testing and Continuous IntegrationSecure Integration PatternsMentoring and Technical Guidance

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software DevelopmentTestingDeploymentProduction SupportAPI DevelopmentDistributed SystemsLarge Language ModelsRetrieval-Augmented Generation (RAG)ObservabilityPerformance and Reliability
Soft Skills
MentoringTechnical GuidanceCollaboration
Tools & Technologies
Integration PatternsError HandlingMonitoringOperational Safeguards
Industry Keywords
Responsible AI PracticesEngineering StandardsArchitectureSecurity

Tech Stack

Tools & technologies
Distributed Systems

About the role

Key responsibilities & impact
  • Lead technical design and day-to-day engineering execution
  • Contribute 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
  • Apply 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
  • Mentor engineers and 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

Requirements

What you’ll need
  • Hands-on experience with software development, testing, deployment, and production support
  • Experience designing and developing scalable enterprise applications, APIs, services, distributed systems, and AI-enabled solutions
  • Experience translating product requirements and architectural direction into technical designs, implementation plans, and production-ready software
  • Experience developing AI-enabled applications and agentic workflows using large language models, retrieval-augmented generation (RAG), enterprise data, and external tools
  • Knowledge of automated testing, continuous integration and delivery, observability, performance, reliability, and maintainability
  • Knowledge of secure integration patterns, access controls, error handling, monitoring, and operational safeguards
  • Ability to mentor engineers, provide technical guidance, conduct code and design reviews, and promote engineering standards
  • Experience developing reusable AI capabilities for orchestration, model integration, tool integration, state management, evaluation, and observability
  • Ability to partner with Architecture, Security, and engineering teams
  • Commitment to responsible AI practices

Benefits

Comp & perks
  • Comprehensive benefits plan
  • Incentive eligibility
  • Personal and professional development opportunities