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Devops Ai Jobs in Chicago, IL (NOW HIRING)

Argonne National Laboratory

DevOps Engineer

Lemont, IL · On-site

$53.25 - $72.75/hr

The AmSC platform enables DOE scientists to create, access, and integrate AI-ready datasets, run ... As a DevOps Engineer, you will work within the Data Services and Workflows team at ALCF, with ...

Argonne National Laboratory

DevOps Engineer

Lemont, IL · Hybrid

$53.25 - $72.75/hr

The AmSC platform enables DOE scientists to create, access, and integrate AI-ready datasets, run ... As a DevOps Engineer, you will work within the Data Services and Workflows team at ALCF, with ...

Argonne National Laboratory

DevOps Engineer

Lemont, IL · On-site

$69.75 - $108.81/hr

... scalable AI model training and inference on leadership‑class systems, perform distributed ... As a DevOps Engineer, you will work within the Data Services and Workflows team at ALCF, with ...

YO AI Labs

DevOps Engineer - Remote

Chicago, IL · Remote

$50 - $150/hr

No prior AI experience is required--your DevOps expertise and engineering judgment are what matter most. Key Responsibilities * Design realistic DevOps tasks covering CI/CD, containers, Kubernetes ...

YO AI Labs

DevOps Expert - Remote

Chicago, IL · Remote

$30 - $80/hr

Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform ... engineering . * Evaluate AI-generated commands, configurations, scripts, and deployment workflows ...

Alliance Sourcing Network

DevOps Engineer

Chicago, IL · On-site

$54.50 - $74.50/hr

Strong AWS experience with MLOps & AI services (e.g. SageMaker Notebooks, Bedrock, ECS/EKS, & IAM ... As a DevOps Engineer you will contribute to design, development, testing and deployment of software ...

Deloitte

DevOps Engineer III

Chicago, IL · On-site

$54.25 - $74.50/hr

AI & Engineering/EaaS - DevOps Engineer III Build and scale modern DevOps capabilities that help clients accelerate delivery, improve reliability, and modernize engineering operations. As a Senior ...

NEWMARK

Staff DevOps Engineer

Chicago, IL · On-site

$54.25 - $74.50/hr

Architect and integrate agentic AI workflows (autonomous agents, LLM-driven automation, AI copilots) into DevOps and platform operations - such as automated incident triage, self-healing ...

Newmark

Staff DevOps Engineer

Chicago, IL · On-site

$150 - $190/hr

Architect and integrate agentic AI workflows (autonomous agents, LLM-driven automation, AI copilots) into DevOps and platform operations -- such as automated incident triage, self-healing ...

NEWMARK

Staff DevOps Engineer

Chicago, IL · On-site

$54.25 - $74.50/hr

... DevOps, or Jenkins). * Deep understanding of distributed systems, containerization, and ... Nice to have Hands-on experience building or integrating agentic AI systems, LLM-powered operations ...

Hudson Manpower

GCP DevOps Engineer

Schaumburg, IL · On-site

$42 - $45/hr

Job Summary Seeking a GCP DevOps Engineer with strong experience in GCP, DevOps, Agentic Platforms ... Work with Agentic/AI platforms and related technologies * Navigate, integrate, and troubleshoot ...

1872 Consulting

Senior Azure DevOps Engineer

Chicago, IL · Hybrid

$133K - $172K/yr

Senior Azure DevOps Engineer AI Deployments Focus Chicago, IL - hybrid WFH (3 days onsite in the loop, 2 days WFH) Summary The Senior Azure DevOps Engineer sits on a newly created AI Engineering team ...

1872 Consulting

Senior Azure DevOps Engineer

Chicago, IL · Hybrid

$133K - $172K/yr

Senior Azure DevOps Engineer AI Deployments Focus Chicago, IL - hybrid WFH (3 days onsite in the loop, 2 days WFH) Summary The Senior Azure DevOps Engineer sits on a newly created AI Engineering team ...

WalkMe

DevOps Engineer

Chicago, IL · Hybrid

$54.25 - $74.50/hr

Today it is the platform that drives AI adoption across the enterprise. Enterprise work stays ... We are looking for a DevOps Engineer to join our amazing Cloud Engineering team. We are developing ...

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Devops Ai information

See Chicago, IL salary details

$16

$62

$88

How much do devops ai jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for devops ai in Chicago, IL is $62.36, according to ZipRecruiter salary data. Most workers in this role earn between $52.26 and $71.59 per hour, depending on experience, location, and employer.

What is the difference between Devops Ai vs Data Engineer?

AspectDevops AiData Engineer
Required CredentialsCertifications in DevOps tools, AI/ML fundamentals, cloud platformsData management certifications, SQL, Python, cloud certifications
Work EnvironmentCollaborates with development, operations, and AI teams in cloud or on-premise setupsWorks with data pipelines, databases, and analytics teams in data-centric environments
Employer & Industry UsageTech companies, AI startups, cloud service providersFinance, healthcare, e-commerce, and data-driven industries

Devops Ai professionals focus on integrating AI solutions into deployment pipelines, combining DevOps practices with AI/ML tools. Data Engineers primarily build and maintain data infrastructure for analytics and machine learning. While both roles require cloud and scripting skills, Devops Ai emphasizes automation and AI deployment, whereas Data Engineers concentrate on data architecture and pipeline development.

Is DevOps a good career with AI?

DevOps professionals working with AI integrate automation, cloud platforms, and machine learning tools to improve software deployment and system reliability. The field offers high demand, competitive salaries, and opportunities to work with emerging technologies, making it a strong career choice for those interested in AI and automation. Skills in scripting, cloud services, and AI frameworks are valuable in this role.

What are popular job titles related to Devops Ai jobs in Chicago, IL?

For Devops Ai jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Devops Ai jobs in Chicago, IL look for?

The top searched job categories for Devops Ai jobs in Chicago, IL are:

Devops Ai jobs near you
Infographic showing various Devops Ai job openings in Chicago, IL as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,704 per year, or $62.4 per hour.

Google Cloud Platform DevOps AI Engineer

Whiztek Corp

Schaumburg, IL • On-site

$52 - $71.25/hr

Other

Posted 5 days ago

Job description

Role: Google Cloud Platform DevOps AI Engineer

Location: Schaumburg, IL

Work Mode: Hybrid (2-3 days/week in office)

Job Desccription:

We are looking for experienced Google Cloud engineers with hands-on expertise in Gemini Enterprise Agent Platform (GEAP), Google's managed platform for building, deploying, governing, and scaling enterprise-grade AI agents. This is a hands-on, build-and-deploy role: you will design agent architectures, stand up production hosting infrastructure, integrate Model Context Protocol (MCP) servers and tools, and ensure our agents are secure, observable, and cost-efficient at scale.

What You'll Do

  • Design, build, and deploy AI agents on GEAP using Google's Agent Development Kit (ADK) or equivalent frameworks, including both pro-code and low-code (Agent Studio) approaches
  • Deploy agents to GEAP's fully-managed Agent Runtime, configuring short-term Sessions and long-term Memory Bank integration
  • Integrate and configure Model Context Protocol (MCP) servers — both Google-provided (e.g., Workspace MCP) and custom/third-party — as external agent tools
  • Stand up and manage multi-agent orchestration patterns (e.g., orchestrator/sub-agent graphs, Agent Fabric-style fleets) where specialized agents handle discrete tasks and coordinate via defined protocols
  • Configure Agent Gateway policies, authorization, and Agent Identity for secure, auditable, and traceable agent actions
  • Define and provision the Google Cloud Platform infrastructure needed to host agents: networking (VPC, Private Service Connect, hybrid/on-prem connectivity), IAM, compute (GKE, Agent Platform Endpoints), and OAuth/credential flows for production agent authentication
  • Set up Agent Evaluation, Agent Observability, and Agent Optimizer to monitor drift, trace performance issues, and control compute/token costs in production
  • Advise stakeholders on exactly what's required — licensing, APIs, IAM roles, network topology, compute sizing — to host AI agents on GEAP, and translate that into clear deployment runbooks
  • Troubleshoot production issues across the agent stack, from model/tool calls to networking and platform-level governance controls

Required Experience

  • Demonstrated hands-on experience with GEAP (or its predecessor, Vertex AI Agent Builder/Vertex AI Pipelines) — not just familiarity from documentation
  • Strong Google Cloud Platform fundamentals: IAM, VPC networking, GKE, Cloud Run or similar compute, Private Service Connect
  • Experience building or integrating MCP (Model Context Protocol) servers and tools
  • Experience with Google's Agent Development Kit (ADK) or comparable agent frameworks
  • Familiarity with agent orchestration concepts (multi-agent systems, task graphs, tool calling, sessions/memory)
  • Solid understanding of OAuth 2.0 flows and secure credential handling for production, server-side applications
  • Comfortable working with gcloud CLI, Google Cloud Console, and infrastructure-as-code tooling

Nice to Have

  • Experience with Google Workspace MCP servers and the Workspace Developer Preview Program
  • Background in ML/platform engineering or cloud architecture roles
  • Experience with third-party agent interoperability (e.g., Open Agent Network, Salesforce/ServiceNow agent integrations)
  • Google Cloud certifications (Professional Cloud Architect, Professional ML Engineer, etc.)
  • Experience with cost governance/optimization for high-volume agent workloads

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