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Manager Azure Ai Jobs (NOW HIRING)

Azure AI

Philadelphia, PA · On-site

$52.50 - $65.25/hr

Responsibilities : • Design and develop AI-powered copilots and chatbots using Microsoft Copilot Studio. • Build and manage intelligent workflows using Azure AI Foundry. • Implement Generative ...

Azure AI Engineer

Huntington Beach, CA · On-site

$103K - $135K/yr

First Shift (United States of America) The Azure AI Engineer will be responsible for designing ... Raises concerns and issues to management. • Understands department's key performance indicators ...

Azure AI Engineer

Huntington Beach, CA · On-site

$103K - $135K/yr

Implement MCP (Model Context Protocol) for managing context across AI systems and ensure ... Hands-on experience with Azure AI services, Azure Machine Learning, and OpenAI on Azure. Experience ...

Senior Azure AI Foundry Engineer

Houston, TX · On-site

$52.75 - $68/hr

Build and manage Azure AI Foundry environments and deployments * Develop scalable Python workflows using Azure OpenAI, Prompt Flow, LangChain, and AI Search * Implement vector search and retrieval ...

Azure OpenAI / AI Cloud Engineer

Houston, TX · On-site

$50.25 - $67.25/hr

We're seeking an Azure OpenAI / AI Cloud Engineer with deep experience in deploying, configuring, and managing Azure-based AI and ML services . The ideal candidate will have a strong background in ...

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Manager Azure Ai information

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How much do manager azure ai jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for manager azure ai in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

What is the difference between Manager Azure Ai vs Data Scientist?

AspectManager Azure AiData Scientist
Required CredentialsAzure certifications, leadership experienceStatistics, programming, data analysis skills
Work EnvironmentTeam management, cloud platform oversightData analysis, model development, research
Industry UsageAI project management in cloud servicesData modeling and insights in various sectors

The Manager Azure Ai primarily oversees AI projects on the Azure platform, focusing on team coordination and cloud solutions. In contrast, Data Scientists analyze data, develop models, and generate insights. While both roles require technical knowledge, the Manager Azure Ai emphasizes leadership and cloud expertise, whereas Data Scientists focus on data analysis and modeling.

More about Manager Azure Ai jobs
What cities are hiring for Manager Azure Ai jobs? Cities with the most Manager Azure Ai job openings:
What are the most commonly searched types of Azure Ai jobs? The most popular types of Azure Ai jobs are:
What states have the most Manager Azure Ai jobs? States with the most job openings for Manager Azure Ai jobs include:
Infographic showing various Manager Azure Ai job openings in the United States as of May 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.
Azure AI

Azure AI

Diverse Lynx

Philadelphia, PA • On-site

$52.50 - $65.25/hr

Full-time

Posted 3 days ago


Job description

Job Summary:
Diverse Lynx is seeking a highly skilled AI Engineer with expertise in Microsoft Copilot Studio and Azure AI Foundry to design, develop, and deploy intelligent AI solutions. The role involves building conversational AI systems, automating workflows, and integrating generative AI into enterprise applications.
Responsibilities:
• Design and develop AI-powered copilots and chatbots using Microsoft Copilot Studio.
• Build and manage intelligent workflows using Azure AI Foundry.
• Implement Generative AI solutions using Azure OpenAI (LLMs).
• Create and manage conversation flows, intents, and topics.
• Integrate AI solutions with enterprise systems (CRM, ITSM, ERP, APIs).
• Develop automation workflows using Power Platform (Power Automate).
• Ensure scalability, security, and performance of AI applications.
• Monitor, analyze, and optimize AI model performance and user interactions.
• Collaborate with business teams to translate requirements into AI solutions.
Qualifications:
Required:
• 8-10 Years of experience in AI Engineering
• Strong understanding of Large Language Models (LLMs)
• Prompt engineering
• Azure OpenAI Service
• Hands on in Copilot studio
• Azure AI Cloud foundry - Building AI workflows and orchestration
• Experience in designing, developing, and deploying intelligent AI solutions
• Experience in building conversational AI systems
• Experience in automating workflows
• Experience in integrating generative AI into enterprise applications
• Experience in creating and managing conversation flows, intents, and topics
• Experience in integrating AI solutions with enterprise systems (CRM, ITSM, ERP, APIs)
• Experience in developing automation workflows using Power Platform (Power Automate)
• Ability to ensure scalability, security, and performance of AI applications
• Ability to monitor, analyze, and optimize AI model performance and user interactions
• Ability to collaborate with business teams to translate requirements into AI solutions
Company:
Diverse Lynx is a WBENC- and NMSDC-certified partner, helping organizations turn diversity goals into measurable impact through staffing and contingent workforce solutions. Founded in 2002, the company is headquartered in Princeton, New Jersey, US, , with a team of 1001-5000 employees. The company is currently Late Stage.

Diverse Lynx logo

About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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