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Azure Ai Platform Engineer

  • Azure Ai Platform Engineer job type Posted on: Oct 22, 2026
  • Azure Ai Platform Engineer experience level Argyllinfotech
  • Azure Ai Platform Engineer employment type Chicago, Illinois
  • Azure Ai Platform Engineer employment type Onsite
  • Azure Ai Platform Engineer salary CTC

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Job Title :

Azure Ai Platform Engineer

Job Type :

Contract

Job Location :

Chicago Illinois United States

Remote :

No

Jobcon Logo Job Description :

Job Title: Azure AI Platform Engineer

Location: Chicago, IL

Need local candidate

Interview Slots Available

  • Provisions and manages the Azure environment for AI workloads, including Azure AI Foundry, Azure OpenAI, AI Search, networking, identity and key management.
  • Builds the AI Agents on Azure AI Foundry and builds CI/CD, infrastructure-as-code and LLMOps pipelines to deploy, monitor and scale AI agents and applications safely.
  • Puts security, compliance and responsible-AI controls in place, such as private endpoints, RBAC and content safety. This work also supports cyber and QA automation use cases.
  • Integrates AI solutions with Astellas enterprise systems and the Databricks platform so they fit into real business workflows.
  • Monitors usage, cost, latency and adoption to make sure deployed solutions keep delivering measurable value.

Jobcon Logo Position Details

Posted:

Oct 22, 2026

Reference Number:

3378-26251

Employment:

CTC

City:

Chicago

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Title: Azure AI Platform Engineer

Location: Chicago, IL

Need local candidate

Interview Slots Available

  • Provisions and manages the Azure environment for AI workloads, including Azure AI Foundry, Azure OpenAI, AI Search, networking, identity and key management.
  • Builds the AI Agents on Azure AI Foundry and builds CI/CD, infrastructure-as-code and LLMOps pipelines to deploy, monitor and scale AI agents and applications safely.
  • Puts security, compliance and responsible-AI controls in place, such as private endpoints, RBAC and content safety. This work also supports cyber and QA automation use cases.
  • Integrates AI solutions with Astellas enterprise systems and the Databricks platform so they fit into real business workflows.
  • Monitors usage, cost, latency and adoption to make sure deployed solutions keep delivering measurable value.

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