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Remote Azure Standard Jobs in California (NOW HIRING)

YO AI Labs

AI/ML Engineer - Remote

Palo Alto, CA · Remote

$200 - $350/hr

Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure ... Familiarity with relevant compliance and security standards.

YO AI Labs

AI/ML Engineer - Remote

San Jose, CA · Remote

$200 - $350/hr

Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure ... Familiarity with relevant compliance and security standards.

Scanhealthplan

Sr Staff AI Security Engineer

Long Beach, CA · Remote

$172K - $225K/yr

Azure AI Specialist: Lead the security configuration for Azure OpenAI Studio , Azure AI Foundry ... Establish and maintain AI security standards based on global frameworks (e.g., NIST AI RMF, ISO/IEC ...

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Remote Azure Standard information

What is a remote Azure Standard?

A Remote Azure Standard job typically refers to a position that involves working with Microsoft Azure cloud services from a remote location. Professionals in these roles manage, deploy, and maintain Azure resources such as virtual machines, databases, and applications. They may also focus on tasks like security, monitoring, and automation using Azure tools and best practices. Remote Azure Standard jobs offer flexibility to work from anywhere while supporting organizations in leveraging cloud technology for their IT infrastructure.

What are the key skills and qualifications needed to thrive as a remote Azure Standard?

To thrive as a Remote Azure Administrator, you need a solid understanding of cloud computing concepts, Microsoft Azure services, and experience with networking and security, often supported by a relevant degree and Azure certifications like AZ-104. Familiarity with Azure Portal, PowerShell, Azure CLI, and monitoring tools is typically required. Strong problem-solving, communication, and self-motivation are essential soft skills for remote collaboration and effective incident response. These skills ensure secure, efficient management of cloud resources and seamless support for distributed teams.

What are some common challenges faced when working remotely as an Azure Standard, and how can they be addressed?

Remote Azure Standard Engineers often face challenges such as maintaining clear communication with distributed teams, managing time across different time zones, and ensuring secure access to cloud resources. To address these, it's important to leverage collaboration tools (like Microsoft Teams), establish regular check-ins with your team, and strictly follow security protocols for remote access. Proactively documenting your work and setting clear expectations can also help streamline project workflows and foster a supportive remote work environment.

What is the difference between Remote Azure Standard vs Remote Azure Engineer?

AspectRemote Azure StandardRemote Azure Engineer
CertificationsAzure Fundamentals, Azure Administrator AssociateAzure Administrator, Azure Solutions Architect
Work EnvironmentCloud-focused, administrative tasks, basic deploymentDesign, implement, and manage Azure solutions
Industry UsageCommon in SMBs and entry-level rolesUsed across industries for cloud infrastructure
Search IntentEntry-level Azure roles, cloud administrationAdvanced Azure deployment and management

Remote Azure Standard roles typically focus on basic cloud administration and require foundational certifications. In contrast, Remote Azure Engineer positions involve designing and managing complex Azure solutions, often requiring advanced certifications and experience. Understanding these differences helps job seekers target roles aligned with their skills and career goals.

What are the most commonly searched types of Azure Standard jobs in California?

The most popular types of Azure Standard jobs in California are:

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

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

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

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

What cities in California are hiring for Remote Azure Standard jobs?

Cities in California with the most Remote Azure Standard job openings:

Remote Azure Standard jobs near you

AI/ML Engineer - Remote

YO AI Labs

Palo Alto, CA • Remote

$200 - $350/hr

Full-time

Posted 7 days ago

Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.