Senior AI Delivery & Operations Engineer

Vizient, Inc

AI delivery engineer building and operating governed enterprise AI applications for Vizient’s healthcare services organization. Developing RAG, agentic workflows, LLMOps, and reusable AI Factory capabilities.

Posted 9/3/2026full-timeEdina • Illinois, Minnesota, Texas • 🇺🇸 United StatesSenior💰 $102,400 - $179,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, developing, and supporting enterprise AI applications and solutions, with a strong focus on API development, deployment automation, and AI quality engineering. Proficient in collaborating with cross-functional teams to enhance AI capabilities while ensuring compliance in regulated environments.

Highest-signal resume keywords

AI Application DevelopmentPython ProficiencyCI/CD Pipeline ManagementCloud-Native Application DevelopmentAI Quality Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Application ArchitectureAPI DevelopmentDeployment AutomationAutomated TestingObservabilityDrift DetectionFailure AnalysisContinuous Performance OptimizationLarge Language Models (LLMs)Infrastructure Automation

Soft Skills

Analytical SkillsProblem-SolvingCommunicationCross-Functional Collaboration

Tools & Technologies

OpenAIAzure OpenAIAnthropicGeminiContainerizationLoggingMonitoring

Industry Keywords

Regulated EnvironmentsData GovernancePrivacySecurityComplianceHealthcare

Tech Stack

Tools & technologies

AzureCloudPython

About the role

Key responsibilities & impact

Design, develop, test, deploy, and support enterprise AI applications, agentic workflows, retrieval-augmented generation (RAG) solutions, and model-powered APIs throughout the full AI delivery lifecycle
Serve as the primary technical contributor for an AI delivery squad and provide technical leadership
Build and enhance reusable AI Factory capabilities, including shared services, engineering frameworks, implementation patterns, and platform components
Develop and maintain AI quality engineering capabilities, including automated testing, evaluation frameworks, guardrails, structured outputs, drift detection, failure analysis, and continuous performance optimization
Support AI Operations (AIOps) and LLMOps through observability, telemetry, logging, monitoring, incident response, root cause analysis, production support, and operational excellence practices
Contribute to deployment automation, CI/CD pipelines, release management, infrastructure automation, and operational processes
Collaborate with internal teams and external implementation partners to evaluate technical designs, establish engineering standards, and expand internal AI engineering capabilities through knowledge sharing and mentoring
Support synthetic data initiatives and AI solutions in regulated healthcare environments using secure, compliant, auditable, and governance-first engineering practices

Requirements

What you’ll need

Bachelor's degree or equivalent combination of education and relevant experience preferred
5+ years of professional software engineering experience required
Strong expertise in application architecture, API development, testing, source control, CI/CD, deployment automation, and modern software engineering practices
Hands-on experience designing, developing, deploying, and supporting production AI applications, including post-deployment monitoring, troubleshooting, optimization, and operational support
Strong proficiency in Python
Experience building enterprise-grade software solutions using modern development frameworks and engineering best practices
Experience developing AI solutions utilizing large language models (LLMs) and platforms such as OpenAI, Azure OpenAI, Anthropic, Gemini, or comparable AI technologies
Experience with cloud-native application development, containerization, infrastructure automation, observability platforms, logging, monitoring, and production support within enterprise environments
Knowledge of AI engineering concepts including Retrieval-Augmented Generation (RAG), agentic AI, prompt engineering, evaluation frameworks, guardrails, and AI quality engineering preferred
Experience working within regulated environments supporting data governance, privacy, security, and compliance, preferably within healthcare or similarly regulated industries
Strong analytical, problem-solving, communication, and cross-functional collaboration skills
Ability to thrive in fast-paced, highly collaborative, and evolving technical environments

Benefits

Comp & perks

Comprehensive benefits plan
Incentive eligible
Extensive opportunities for personal and professional development