Senior AI Operations Engineer (Senior Software Engineer)
Chicago, IL 60607All locationsChicago, IL 60607Irving, TX 75062 Vizient Corporate HQCentennial, CO 80111 On-site
$102,400–$179,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
In this role, you will design and build scalable backend systems, cloud infrastructure, and platform capabilities that power AI/ML products and applications. You will partner closely with AI/ML engineers, data scientists, and cross-functional teams to productionize LLM applications, RAG pipelines, and agentic AI workflows. You will leverage modern cloud technologies, infrastructure-as-code practices, and AI-assisted development tools to deliver reliable, secure, and maintainable solutions that accelerate innovation across the AI/ML team while helping establish engineering standards, reusable platform patterns, and operational best practices. This position is also incentive eligible. 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.
What you'll bring
- 5 or more years of relevant experience required.
- Strong Python development experience with expertise building production backend services, APIs, distributed systems, and cloud-based applications required.
- Hands-on experience with Pulumi, Terraform, or other infrastructure-as-code tools along with cloud platforms such as AWS, Azure, or GCP required.
- Knowledge of observability tools, monitoring, logging, tracing, alerting frameworks, and production support practices.
- Familiarity with ML/AI systems, model serving, LLM applications, inference pipelines, RAG workflows, data pipelines, or related AI platform technologies.
- Strong analytical, troubleshooting, problem-solving, verbal communication, and written communication skills with the ability to collaborate across technical and business teams.
- Ability to operate effectively in fast-paced, evolving environments with a high level of ownership, accountability, and adaptability.
- Relevant degree preferred.
- Experience with Docker, CI/CD pipelines, infrastructure automation, container orchestration, Kubernetes, serverless architectures, and cloud deployment practices preferred.
- Experience with Databricks, Azure AI Foundry, or similar AI/ML platform technologies preferred.