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Entry Level Azure Ai Engineer Jobs in California

KPI Partners

Azure AI Platform Engineer

Fremont, CA · On-site

$75 - $85/hr

Title: Azure AI Platform Engineer Location: Fremont, CA (Remote with Travel) Job Type: Contract - 12 Months Pay Rate: $75/hr - $85/hr Key Skills: Azure AI Foundry, Microsoft Foundry, Azure ...

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.

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 ...

Pwc

AI Engineer

San Diego, CA · On-site

$55K - $187K/yr

... Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing AI ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Engineer

Irvine, CA · On-site

$55K - $187K/yr

... Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing AI ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Engineer

San Francisco, CA · On-site

$55K - $187K/yr

... Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing AI ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Engineer

Sacramento, CA · On-site

$55K - $187K/yr

... Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing AI ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

TEKsystems

AI Engineer

San Diego, CA · On-site

$30 - $45/hr

AI Engineer Are you passionate about building cutting-edge AI solutions and turning Generative AI ... Work with cloud-native AI services across AWS, Azure, or GCP. * Develop and deploy containerized ...

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.

Pwc

AI Engineer

Los Angeles, CA · On-site

$55K - $187K/yr

... Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing AI ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Info Way Solutions

AI Engineer

Mountain View, CA · On-site

Info Way Solutions is seeking a highly skilled and motivated AI Engineer to join their team. The ... Azure, GCP) for model deployment • Understanding of machine learning pipelines, MLOps, and ...

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 ...

The Goal Family of Companies

AI Engineer

San Diego, CA · On-site

$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 ...

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 ...

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.

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All JobsAzure Ai Engineer JobsEntry Level Azure Ai Engineer JobsEntry Level Azure Ai Engineer Jobs in California

Entry Level Azure Ai Engineer information

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 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 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 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 popular job titles related to Entry Level Azure Ai Engineer jobs in California?

For Entry Level Azure Ai Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Entry Level Azure Ai Engineer jobs in California look for?

The top searched job categories for Entry Level Azure Ai Engineer jobs in California are:

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 September 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution.

Azure AI Platform Engineer

Fremont, CA • On-site

KPI Partners
IT Services • 201 - 500 employees
Learn more about KPI Partnersexternal

$75 - $85/hr

Other

Posted 22 days ago

Job description

Title: Azure AI Platform Engineer

Location: Fremont, CA (Remote with Travel)

Job Type: Contract – 12 Months

Pay Rate: $75/hr - $85/hr

Key Skills: Azure AI Foundry, Microsoft Foundry, Azure Infrastructure and Networking

Nice to Have: ACR, AKS, APIM, Log Analytics, Application Insights, Kusto/KQL, Azure networking, private endpoints, managed identities, and CI/CD.


About KPI Partners

KPI Partners is a 5-time Gartner-recognized data, analytics, and AI consulting company. We are leaders in data engineering on Azure, AWS, Google, Snowflake, and Databricks. Founded in 2006, KPI has over 400 consultants and has successfully delivered over 1,000 projects to our clients. We are looking for skilled data engineers who want to work with the best team in data engineering.


Key Responsibilities:

  • Hands-on experience with Azure AI Foundry / Microsoft Foundry.
  • Experience with ACR, AKS, APIM, Log Analytics, Application Insights, Kusto/KQL, Azure networking, private endpoints, managed identities, and CI/CD.
  • Understand high-level AI platform architecture while also being hands-on with detailed implementation, troubleshooting, and automation.
  • Document Microsoft platform limitations, security constraints, risk mitigations, and exception justifications for Infosec / CISO-level review.


Required Skills & Qualifications:

  • Direct Azure AI Foundry / Microsoft Foundry experience
  • Strong Azure infrastructure and networking background
  • Hands-on AKS, APIM, ACR, monitoring/logging, and KQL skills
  • Experience supporting AI/ML, agentic AI, or platform engineering workloads
  • Ability to produce clear technical documentation and executive-ready summaries


Why KPI Partners

At KPI, you will be part of a fast-growing consulting firm at the intersection of data, analytics, AI/ML, and cloud platforms. You will work with leading technology partners, drive impact for global clients, and shape strategic growth in a collaborative, high-performance environment. KPI is recognized for employee focus, career development, and innovation.

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