Azure Engineer

Acuity Analytics

New York (NY)

On-site

USD 90,000 - 130,000

Full time

14 days+
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Job summary

Acuity Analytics in New York is looking for a skilled candidate to design, build, and manage AI agents using Azure AI Foundry and Copilot Studio.

Your role will involve implementing solutions for business workflows, integrating AI with enterprise applications, and maintaining CI/CD pipelines. A strong proficiency in Python and SQL is essential, along with experience in security practices and cross-team collaboration.

Qualifications

  • Intermediate proficiency in Python for backend logic and integrations.
  • Experience with Azure AI Foundry and Copilot Studio.
  • Knowledge of secure context sharing and orchestration protocols.

Responsibilities

  • Design, build, and manage AI agents using Azure tools.
  • Implement integration of AI agents with enterprise APIs.
  • Develop and maintain CI/CD pipelines with Azure DevOps.

Skills

AI agents
Azure AI Foundry
Copilot Studio
Python
SQL queries
Azure DevOps
IAM

Job description

  • Design, build, deploy, and manage AI agents using Azure AI Foundry and Copilot Studio
  • Implement and configure Copilot Studio agents for business workflows, automation, and user interactions
  • Leverage Azure MCP (Model Context Protocol) to enable secure context sharing, orchestration, and tool integration for AI agents
  • Integrate AI agents with enterprise applications, APIs, and data sources
  • Implement identity and access management (IAM) using Azure AD (Entra ID), managed identities, RBAC, and OAuth flows
  • Work with Azure DevOps to:
  • Create and maintain CI/CD pipelines
  • Manage source control, builds, and releases
  • Automate infrastructure and deployment workflows
  • Develop and maintain backend logic and integrations using Python (intermediate proficiency)
  • Write and optimize SQL queries for data access, analytics, and agent context enrichment
  • Monitor, debug, and optimize AI agent performance, reliability, and cost
  • Ensure security, compliance, and responsible AI practices are followed
  • Collaborate with cross-functional teams to translate business requirements into AI-driven solutions
  • Maintain technical documentation and deployment guidelines
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