Sr. AI Delivery & Operations Engineer

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.

Pay

Estimated Hiring Range: $102,400.00 to $179,000.00. This position is also incentive eligible.

Benefits

The Company has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer

Vizient is an Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities.