Jobs › Vizient

Sr. AI Delivery & Operations Engineer

Vizient · Chicago, IL · $102,400–$179,000 a year · Full time

Posted Jul 29, 2026 · We last checked this listing on Oct 5, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about engineering standards you set for a team. How did you get people to follow them?

What they are checking: Whether they can lead as a technical anchor through persuasion and example, not just by writing a wiki page.

Describe a production incident you led. How did you communicate with stakeholders while you fixed it?

What they are checking: Whether they stay steady in incidents and keep business owners informed without guessing about the cause.

Tell me about a time you mentored a software engineer who was new to building with AI.

What they are checking: Whether they can raise the squad's skill level rather than doing all the hard AI work themselves.

What would you do

The posting calls this a governance-first environment. How do you design an AI solution so security and compliance reviews don't become a bottleneck?

What they are checking: Whether they build governance into delivery patterns so reviews are fast instead of fighting them at the end.

A product leader wants to ship an AI feature next week, but your evaluations show it's wrong fifteen percent of the time. What do you do?

What they are checking: Whether they can present risk clearly and offer options rather than either blocking or quietly shipping.

About the work

Walk me through how you would take an agentic workflow from prototype to production in a healthcare company.

What they are checking: Whether they understand the testing, guardrails, monitoring and approvals that separate a demo from an enterprise AI system.

How do you evaluate whether an LLM-powered application is giving good answers before and after release?

What they are checking: Whether they build real evaluation sets and metrics instead of judging AI quality by spot checks.

What does operational support look like for an AI application, and how is it different from a normal web app?

What they are checking: Whether they plan for model drift, prompt changes, cost spikes and nondeterministic failures in AI operations.

How would you stop an agent with tool access from taking an action it shouldn't, like exposing data or changing records?

What they are checking: Whether they think concretely about permissions, human approval and blast radius for autonomous AI actions.

How would you build reusable components so the next AI Factory project starts faster than the last?

What they are checking: Whether they think in platform terms and spot patterns worth standardizing across delivery squads.

How do you keep the cost of LLM calls under control as usage grows?

What they are checking: Whether they consider caching, model choice and usage monitoring as part of running AI at enterprise scale.

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The full job description

As published by Vizient.

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. Summary: In this role, you will serve as the technical anchor for a focused AI delivery squad, leading the end-to-end engineering, deployment, and operational support of enterprise AI solutions. You will design, build, and support AI-powered applications, intelligent automation solutions, agentic workflows, and reusable AI engineering capabilities that accelerate Vizient's AI Factory strategy. Working closely with software engineers, AI architects, product leaders, and business stakeholders, you will establish engineering standards, delivery patterns, and operational best practices that enable secure, scalable, and reliable AI solutions across the enterprise. This role combines hands-on software engineering, AI application development, AI operations, and platform engineering within a governance-first healthcare environment. Responsibilities • 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, providing technical leadership while driving high-quality, scalable, and maintainable AI solutions. • Build and enhance reusable AI Factory capabilities, including shared services, engineering frameworks, implementation patterns, and platform components that accelerate enterprise AI adoption. • 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 implementation of 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 that enable secure and reliable AI solution delivery. • 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 operating within regulated healthcare environments by implementing secure, compliant, auditable, and governance-first engineering practices. Qualifications • Bachelor's degree or equivalent combination of education and relevant experience preferred. • 5+ years of professional software engineering experience with strong expertise in application architecture, API development, testing, source control, CI/CD, deployment automation, and modern software engineering practices required. • Hands-on experience designing, developing, deploying, and supporting production AI applications, including post-deployment monitoring, troubleshooting, optimization, and operational support required. • Strong proficiency in Python and experience building enterprise-grade software solutions using modern development frameworks and engineering best practices required. • Experience developing AI solutions utilizing large language models (LLMs) and platforms such as OpenAI, Azure OpenAI, Anthropic, Gemini, or comparable AI technologies required. • Experience with cloud-native application development, containerization, infrastructure automation, observability platforms, logging, monitoring, and production support within enterprise environments required. • 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, preferred. • Strong analytical, problem-solving, communication, and cross-functional collaboration skills with the ability to thrive in fast-paced, highly collaborative, and evolving technical environments required. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

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