Vizient Logo

Vizient

Senior Software Engineer

Reposted 11 Days Ago
Be an Early Applicant
In-Office
60607, Chicago, IL, USA
102K-179K Annually
Senior level
In-Office
60607, Chicago, IL, USA
102K-179K Annually
Senior level
Design and build scalable backend systems and cloud infrastructure for AI/ML applications, while implementing engineering standards and mentoring engineers.
The summary above was generated by AI

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 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.

Responsibilities:

  • Design, develop, and maintain backend services, APIs, and platform components that support AI/ML applications and distributed systems.
  • Build scalable cloud infrastructure using Pulumi and modern infrastructure-as-code practices while developing CI/CD pipelines, deployment workflows, and containerized cloud environments.
  • Support production deployment of ML models, LLM applications, RAG pipelines, and agentic AI systems while collaborating with AI/ML engineers to productionize model serving, inference pipelines, and data workflows.
  • Enhance observability through monitoring, logging, tracing, alerting, and incident management practices to improve operational reliability and system performance.
  • Implement engineering 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 across the AI/ML team.
  • Evaluate emerging AI engineering trends, AI-assisted development tools, and modern software practices to drive continuous improvement and innovation.
  • Partner with product, security, data, and platform teams to deliver production-ready AI solutions while contributing to architectural discussions and long-term platform strategy.
  • Troubleshoot complex production issues, perform root cause analysis, and drive remediation efforts to improve system stability and reliability.
  • Mentor engineers through technical collaboration, code reviews, knowledge sharing, and engineering best practices.

Qualifications:

  • Relevant degree preferred.
  • 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.
  • Experience with Docker, CI/CD pipelines, infrastructure automation, container orchestration, Kubernetes, serverless architectures, and cloud deployment practices preferred.
  • 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.
  • Experience with Databricks, Azure AI Foundry, or similar AI/ML platform technologies preferred.
  • 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.

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.

Vizient Chicago, Illinois, USA Office

Chicago, United States

Vizient Skokie, Illinois, USA Office

Skokie, United States

Similar Jobs

Yesterday
Hybrid
140K-215K Annually
Senior level
140K-215K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Design and implement Windows sensor detection and prevention features for the Falcon platform. Research attack techniques, develop user- and kernel-mode detection logic, own features from design through release, apply secure coding and CI/CD practices, troubleshoot customer issues, and collaborate across teams to improve telemetry and protections.
Top Skills: Ai/LlmAutomated Test FrameworksBig DataC/C++Ci/CdDevice DriversDomain-Specific LanguagesEdrFalcon CloudFalcon SensorFirmwareKernel-ModePythonUser-ModeWindowsWindows Internals
3 Days Ago
Hybrid
Senior level
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Senior software engineer responsible for designing, building, and maintaining Java-based cloud-native microservices on Azure. Collaborate across teams to deliver scalable services, contribute to architecture and code quality, and mentor junior engineers.
Top Skills: AzureJavaMicroservices
4 Days Ago
In-Office
160K-240K Annually
Senior level
160K-240K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Design, implement, and deploy autonomy capabilities for space platforms including distributed optimization, tasking/scheduling, track fusion, RPO, and motion/behavior planning. Build high-performance, well-tested software modules, collaborate across perception, planning, simulation, hardware, and flight test teams, support deployments and mission log analysis, and contribute R&D and roadmaps to advance autonomy for satellites and missile defense.
Top Skills: AfsimC++NgtsPythonRtosUnmanned System Technologies

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account