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Azure Openai Jobs in California (NOW HIRING)

1 point system

Azure .NET Architect

San Francisco, CA · On-site

$74.75 - $97.50/hr

AI Integration: Architect and implement AI solutions using Azure Machine Learning, Azure OpenAI Service, and Azure Cognitive Services. * Cloud Infrastructure: Oversee cloud infrastructure ...

1 point system

.Net Azure Architect

San Francisco, CA · On-site

$74.75 - $97.50/hr

AI Integration: Architect and implement AI solutions using Azure Machine Learning, Azure OpenAI Service, and Azure Cognitive Services. * Cloud Infrastructure: Oversee cloud infrastructure ...

Jobtailor

$180 - $240/hr

Azure OpenAI * AI workflow development * Foundry Agents and/or agentic AI solution design * Semantic Kernel, Autogen or Microsoft Agent Framework * Retrieval-Augmented Generation architecture * Azure ...

WinWire

Copilot Developer

Foster City, CA · On-site

$64 - $79.50/hr

Integrate copilots with Azure AI services (e.g., Azure OpenAI, Cognitive Services) * Architect and implement prompt strategies, orchestration logic, and conversation flows * Build reusable AI ...

Carter Support Services

AI/ML Engineer

Burbank, CA · On-site

Integrate LLMs via APIs (Azure OpenAI preferred) into enterprise applications * Develop and orchestrate agentic AI workflows with tool/function calling * Implement vector search solutions using ...

Carter Support Services

AI/ML Engineer

Burbank, CA · On-site

$111K - $153K/yr

Integrate LLMs via APIs (Azure OpenAI preferred) into enterprise applications * Develop and orchestrate agentic AI workflows with tool/function calling * Implement vector search solutions using ...

East West Bank

Senior AI Engineering

Pasadena, CA · On-site

$150K/yr

Build production-grade services and APIs using Python, FastAPI or Flask, Azure OpenAI, Azure ML, Databricks, ADLS, and modern cloud-native patterns. * Integrate AI capabilities into enterprise ...

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Azure Openai information

What are the key skills and qualifications needed for an Azure OpenAI?

To thrive in an Azure OpenAI role, you need strong expertise in Microsoft Azure cloud services, a deep understanding of OpenAI technologies, and a background in machine learning or data science. Familiarity with tools such as Azure Cognitive Services, Azure Machine Learning, Python programming, and relevant Microsoft or AI certifications is highly beneficial. Excellent problem-solving skills, collaboration, and effective communication are crucial soft skills for this position. These skills are vital to successfully deploying AI solutions, addressing client needs, and working efficiently within cross-functional teams in a rapidly evolving technology environment.

What can I do with Azure OpenAI?

As an Azure OpenAI specialist, you can develop and deploy AI models such as language, image, and code generation tools using Azure's cloud platform. You can integrate these models into applications, automate workflows, and leverage Azure's security and compliance features to build scalable AI solutions. Familiarity with Azure services, APIs, and AI model management is essential for this role.

What does an Azure OpenAI do?

A typical day for someone in an Azure OpenAI role involves designing, deploying, and monitoring AI-driven solutions using Azure and OpenAI services, collaborating closely with data scientists, developers, and business stakeholders. You may spend time optimizing machine learning models, integrating AI features into client applications, and troubleshooting any issues with model performance or Azure infrastructure. Regular meetings and knowledge-sharing sessions are common, as the team works together to stay ahead of new advancements and ensure successful project delivery. This dynamic environment offers both technical and collaborative challenges, making each day varied and engaging for professionals in this role.

What is an Azure OpenAI?

An Azure OpenAI job typically involves working with Microsoft's Azure OpenAI Service to develop, deploy, and optimize AI models based on OpenAI's technology. Professionals in this role may build AI-driven applications, integrate large language models into business workflows, and fine-tune models for specific use cases. They often collaborate with data scientists, engineers, and cloud specialists to ensure efficient and scalable AI solutions. Strong experience with Azure services, machine learning, and programming languages like Python is usually required.

What are popular job titles related to Azure Openai jobs in California?

For Azure Openai jobs in California, the most frequently searched job titles are:

What job categories do people searching Azure Openai jobs in California look for?

The top searched job categories for Azure Openai jobs in California are:

Azure Openai jobs near you
Infographic showing various Azure Openai job openings in California as of August 2026, with employment types broken down into 84% Full Time, 4% Part Time, 2% Temporary, and 10% Contract. Highlights an 75% Physical, 9% Hybrid, and 16% Remote job distribution.

Azure .NET Architect

1 point system

San Francisco, CA • On-site

$74.75 - $97.50/hr

Contractor

Re-posted just now

Job description

Position Overview:
Looking for a seasoned Azure .NET Architect to lead the design and implementation of scalable, secure, and AI-integrated solutions on the Microsoft Azure platform. This role demands a deep understanding of cloud-native architectures, AI/ML technologies, and enterprise-grade .NET development.
Key Responsibilities:

  • Architecture Design: Lead the design of hybrid and multi-cloud environments, integrating AI workloads with Azure services.
  • AI Integration: Architect and implement AI solutions using Azure Machine Learning, Azure OpenAI Service, and Azure Cognitive Services.
  • Cloud Infrastructure: Oversee cloud infrastructure modernization, leveraging Azure Kubernetes Service (AKS), Azure Functions, and microservices.
  • Security & Compliance: Implement and enforce Azure security best practices, identity management, and role-based access controls (RBAC).
  • DevOps & CI/CD: Architect and manage CI/CD pipelines for AI and enterprise applications using Azure DevOps and GitHub Actions.
  • Collaboration: Work closely with AI engineering, data science, and security teams to optimize Azure cloud solutions.
  • Experience: 12–15 years in designing, developing, and supporting enterprise-grade SaaS products using the Microsoft stack on Azure.

Technical Skills:

  • Proficiency in C#, ASP.NET, JavaScript, MVC, and client-side scripting (JavaScript, JQuery, Kendo).
  • Hands-on experience with Azure services including AKS, Azure Functions, Logic Apps, and Azure Machine Learning.
  • Familiarity with AI/ML frameworks and tools such as Infer.NET and ML.NET.
  • Certifications: Microsoft Certified: Azure Solutions Architect Expert (AZ-303/AZ-304) or equivalent.
  • Soft Skills: Strong communication skills to present ideas and solutions, with analytical abilities to troubleshoot issues.

Preferred Qualifications:

  • AI/ML Experience: Exposure to Generative AI technologies and experience in customizing LLM models.
  • Frontend Development: Experience with modern JavaScript frameworks like React
  • Additional Certifications: AI-102 (Azure AI Engineer Associate), DP-100 (Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications. Azure Solutions Architect