3 months ago
Chicago, IL, USA +2 moreSenior
Base Salary
$102k - $179k/yr
Responsibilities
- Design, develop, and maintain backend services, APIs, platform components, and distributed systems for AI/ML applications.
- Build scalable cloud infrastructure with Pulumi or other infrastructure-as-code tools and develop deployment workflows and containerized environments.
- Support production deployment of ML models, LLM applications, RAG pipelines, agentic AI systems, model-serving systems, inference pipelines, and data workflows.
- Improve observability through monitoring, logging, tracing, alerting, incident management, and production support practices.
- Establish standards for testing, code quality, security, maintainability, scalability, latency optimization, and cost efficiency.
- Define reusable platform patterns, developer tooling, and engineering workflows that improve developer productivity and operational consistency.
- Partner with product, security, data, platform, AI/ML, and cross-functional teams on production-ready solutions and long-term platform strategy.
- Troubleshoot complex production issues, conduct root cause analysis, and drive remediation to improve system reliability.
- Mentor engineers through technical collaboration, code reviews, knowledge sharing, and best-practice guidance.
- Evaluate emerging AI engineering trends, AI-assisted development tools, and modern software practices.
Requirements
- A relevant degree is preferred but not required.
- At least 5 years of relevant experience is required.
- Strong Python development experience building production backend services, APIs, distributed systems, and cloud-based applications is required.
- Hands-on experience with Pulumi, Terraform, or other infrastructure-as-code tools and cloud platforms such as AWS, Azure, or GCP is required.
- Experience with Docker, CI/CD pipelines, infrastructure automation, container orchestration, Kubernetes, serverless architectures, and cloud deployment practices is preferred.
- Knowledge of observability tools, monitoring, logging, tracing, alerting frameworks, and production support practices is required.
- Familiarity with ML/AI systems, model serving, LLM applications, inference pipelines, RAG workflows, data pipelines, or related AI platform technologies is required.
- Experience with Databricks, Azure AI Foundry, or similar AI/ML platform technologies is preferred.
- Strong analytical, troubleshooting, problem-solving, verbal communication, and written communication skills are required.
- Ability to collaborate across technical and business teams and operate with ownership, accountability, and adaptability in evolving environments is required.
Benefits
- Comprehensive benefits plan.
- Estimated base salary range of $102,400.00 to $179,000.00 annually, with incentive eligibility.
- Geographic factors may adjust the salary range, and hires typically fall below the top of the range.
Tech Stack
About Vizient
Vizient provides healthcare performance improvement solutions to U.S. hospitals and health systems, combining a group purchasing organization with clinical, operational, and financial analytics and advisory services. Members access a national contract portfolio representing about $156 billion in annual purchasing volume and benchmarking data drawn from extensive provider networks. Headquartered in Irving, Texas, the privately held company serves more than two-thirds of U.S. acute care providers and acquired Kaufman Hall in 2024.