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Entry Level Azure Ai Engineer Jobs in California

WelbeHealth

AI Engineer I

Los Angeles, CA

The AI Engineer I is responsible for supporting the design, development, testing, and ... Support cloud-based deployments in Azure environments with guidance on Docker, private endpoints ...

Ignite Digital

AI Engineer

San Diego, CA · On-site

We are seeking an AI Engineer to join our Data and AI team. This role combines expertise in machine ... Experience with Python, Snowflake, Github, Azure, and software engineering lifecycle is a plus. Key ...

PlayStation Global

AI Engineer

San Diego, CA · On-site

We partner with product, engineering, finance, marketing and operations teams to turn ... Azure AI Search, or similar technologies. Agent and Workflow Orchestration: Experience with AI ...

Avid Bioservices

AI Engineer

Tustin, CA · On-site

$80K - $100K/yr

The AI Engineer is a developing professional role responsible for supporting the design ... Experience with Microsoft Copilot Studio, Microsoft 365 Copilot, Power Platform, AI Builder, Azure ...

Avid Bioservices

AI Engineer

Tustin, CA · On-site

$80K - $100K/yr

The AI Engineer is a developing professional role responsible for supporting the design ... Experience with Microsoft Copilot Studio, Microsoft 365 Copilot, Power Platform, AI Builder, Azure ...

Eloquent AI

AI Engineer, Platform

San Francisco, CA · On-site

As an AI Engineer at Eloquent AI, you will be at the forefront of building and scaling AI-powered ... Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures.

Bayrock Labs

AI Engineer

Newark, CA · On-site

$80 - $90/hr

Experience with cloud platforms (Azure, AWS, or GCP) for AI/ML workloads. * Strong problem-solving ... Knowledge of prompt engineering and fine-tuning LLMs. * Prior work in enterprise AI applications ...

Professional Search Group - Orange County

Be Seen First

Jr Cloud & AI Engineer

Cypress, CA · On-site

$70K - $80K/yr

The Junior Cloud & AI Engineer work directly with senior engineering leadership, using enterprise ... Work within Azure cloud security fundamentals Entra ID, identity/access management, RBAC, Key Vault

Artos AI

Applied AI Engineer

San Francisco, CA · On-site

They are seeking an Applied AI Engineer to develop and scale their platform, enhancing the delivery ... Azure) • Ability to design and maintain scalable, production-grade backend systems for AI ...

Goal Solutions

AI Engineer

San Diego, CA · On-site

$140K - $150K/yr

Job Type Full-time Description We are seeking an innovative and hands-on AI Engineer to join our ... Experience with Azure, AWS, or GCP along with Docker and Kubernetes * Familiarity with Voice AI ...

The Goal Family of Companies

AI Engineer

San Diego, CA

$140K - $150K/yr

Description We are seeking an innovative and hands-on AI Engineer to join our Data Science team ... Experience with Azure, AWS, or GCP along with Docker and Kubernetes * Familiarity with Voice AI ...

The Goal Family of Companies

AI Engineer

San Diego, CA · On-site

$140K - $150K/yr

We are seeking an innovative and hands-on AI Engineer to join our Data Science team within Business ... Experience with Azure, AWS, or GCP along with Docker and Kubernetes * Familiarity with Voice AI ...

Innowhyte Inc

We are hiring an AI Engineer specializing in LLMs (Large Language Models), Retrieval Augmented ... AWS, GCP, Azure). Monitor and troubleshoot deployed models for accuracy and reliability.

Evolver

GenAI Engineer (Python)

Palo Alto, CA · On-site

... Azure Database Services, Azure AI services, and Azure Search). * Soft Skills: * Ability to ... Competitive Entry-Level Salary: Reflecting your skills and potential. * Flexible Work: Work options ...

Aivra Health LLC

AI/ML Engineer

California City, CA · On-site

AWS SageMaker / Azure ML / Google Cloud Platform Vertex AI * Git Preferred Qualifications ... Keywords AI Engineer, Machine Learning Engineer, Deep Learning, Python, TensorFlow, PyTorch, NLP ...

Jade Global

Software AI Engineer

San Jose, CA · On-site

Deploy and manage AI solutions on cloud platforms (e.g., AWS, Azure, GCP). * Collaborate with data scientists and other engineers to integrate AI models into existing systems. * Optimize AI models ...

Jade Global

Software AI Engineer

San Jose, CA · Remote

Deploy and manage AI solutions on cloud platforms (e.g., AWS, Azure, GCP). Collaborate with data scientists and other engineers to integrate AI models into existing systems. Optimize AI models for ...

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Entry Level Azure Ai Engineer information

What is the difference between Entry Level Azure Ai Engineer vs Data Scientist?

AspectEntry Level Azure Ai EngineerData Scientist
Required CredentialsAzure certifications, basic programming skillsStatistics, programming, often a master's degree
Work EnvironmentCloud platforms, AI development teamsData analysis, research, modeling
Industry UsageTech, cloud services, AI projectsFinance, healthcare, tech, research

While both roles involve working with data and AI, an Entry Level Azure Ai Engineer focuses on deploying AI solutions on Azure cloud platforms, requiring cloud certifications and programming skills. A Data Scientist primarily analyzes data, builds models, and may not require cloud-specific certifications. The roles overlap in data handling but differ in technical focus and work environment.

What are some common challenges faced by entry level Azure AI engineers when transitioning from academic projects to real-world applications?

Entry Level Azure AI Engineers often find that real-world projects involve integrating AI models with existing business systems and handling larger, messier datasets than those used in academic settings. Challenges may include learning to work with Azure-specific tools, collaborating with cross-functional teams, and meeting production-level reliability and scalability requirements. New hires also need to quickly adapt to agile development cycles and ongoing feedback, which can differ significantly from the more controlled pace of academic projects.

What are the key skills and qualifications needed to thrive as an entry level Azure AI engineer?

To thrive as an Entry Level Azure AI Engineer, you need foundational experience in programming (such as Python or C#), understanding of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with Microsoft Azure services (like Azure Machine Learning, Cognitive Services), and certifications such as Microsoft Certified: Azure AI Engineer Associate are highly valued. Problem-solving skills, attention to detail, and effective communication help you collaborate with teams and explain AI solutions to stakeholders. These abilities ensure you can build, deploy, and maintain AI solutions efficiently in cloud-based environments, meeting business needs.

What does an entry level Azure AI engineer do?

An Entry Level Azure AI Engineer is responsible for developing, deploying, and maintaining artificial intelligence solutions using Microsoft Azure's AI services and tools. They typically work on tasks such as building machine learning models, integrating AI APIs, and supporting cloud-based AI applications under the guidance of more experienced engineers. Their role often includes data preparation, testing AI solutions, and ensuring that AI models run efficiently and securely on Azure infrastructure. This position is ideal for those with foundational knowledge in AI, programming, and cloud computing who are looking to grow their skills in a real-world environment. Entry level engineers often collaborate with data scientists, developers, and project managers to deliver AI-driven solutions for various business needs.
What are the most commonly searched types of Azure Ai Engineer jobs in California? The most popular types of Azure Ai Engineer jobs in California are:
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What cities in California are hiring for Entry Level Azure Ai Engineer jobs? Cities in California with the most Entry Level Azure Ai Engineer job openings:
Entry Level Azure Ai Engineer jobs near you
Infographic showing various Entry Level Azure Ai Engineer job openings in California as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Data Science - Agentic AI Engineer (12+ yrs) - Need Locals to CA

Saransh Inc

Woodland Hills, CA • On-site

$121K - $145K/yr

Contractor

Re-posted 2 days ago

Job description

Role: Data Science - Agentic AI Engineer
Location: Woodland Hills, CA (Hybrid - 3 days a week Onsite)
Job Type: Contract
 
NOTE: Need Only Local candidates
 
Primary Skill-set:
A2A frameworks, MCP Protocol, Azure, Python
 
Must Have Skills:
Skill 1 – Yrs of Exp – 12+ - Data Science - Agentic Layer A2A frameworks and MCP Protocol
Skill 2 - Yrs of Exp – 6+ - AI/ML engineering, specifically vector embeddings, prompt engineering, and context engineering
SKill 3 - Yrs Of Exp - 6+ - programming skills in at least two of the following: Python, Java, Go. Proficiency in deploying solutions on Azure Cloud
SKill 4 - Yrs Of Exp - 6+ - databases such as Azure AI Search, Redis, and Cosmos DB (Blob Storage and Iceberg are plus)
Skill 5 - Yrs of Exp - 6+ - ability to design and manage Azure Functions and Azure Container Apps & cloud-native architecture, scalability, and performance optimization
Domain Experience (If any ) – Good to have healthcare experience