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Entry Level Azure Ai Engineer Jobs in California

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 ...

Triunity Software

AI Engineer

San Francisco, CA · On-site

$80K - $90K/yr

Experience deploying services in cloud environments (AWS, Azure, or GCP). * Interest in agentic AI, automation, or developer productivity tooling Compensation: $80,000.00 - $90,000.00 per year About ...

Deloitte

AI Engineer Consultant

San Francisco, CA · Hybrid

... on AWS/Azure/GCP (one or more), including managed data platforms and scalable compute patterns ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

Deloitte

AI Engineer Consultant

Los Angeles, CA · Hybrid

... on AWS/Azure/GCP (one or more), including managed data platforms and scalable compute patterns ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

Deloitte

AI Engineer Consultant

San Diego, CA · Hybrid

... on AWS/Azure/GCP (one or more), including managed data platforms and scalable compute patterns ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

Deloitte

AI Engineer Consultant

San Jose, CA · Hybrid

... on AWS/Azure/GCP (one or more), including managed data platforms and scalable compute patterns ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

Hologic, Inc.

Senior Applied AI Engineer

San Diego, CA · On-site

$95.50 - $149.40/hr

Senior Applied AI Engineer Role Summary We are hiring a Senior Applied AI Engineer to help us find ... We run our AI solutions on our own Azure infrastructure, so you will be working in it from day one.

Deloitte

AI Engineer Consultant

Costa Mesa, CA · Hybrid

... on AWS/Azure/GCP (one or more), including managed data platforms and scalable compute patterns ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

Deloitte

AI Engineer Consultant

Sacramento, CA · Hybrid

... on AWS/Azure/GCP (one or more), including managed data platforms and scalable compute patterns ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

Axos Bank

JBATA- AI Engineer

San Diego, CA

$30/hr

Write and maintain integration code connecting AI systems to internal platforms (GitHub, Azure DevOps, Linear, Confluence) * Assist in building and validating Model Context Protocol (MCP) server ...

Axos Bank

JBATA- AI Engineer

San Diego, CA · On-site

$30/hr

Write and maintain integration code connecting AI systems to internal platforms (GitHub, Azure DevOps, Linear, Confluence) * Assist in building and validating Model Context Protocol (MCP) server ...

SpaceX

AI Engineer, Special Programs

Palo Alto, CA · On-site

$125K - $220K/yr

AI ENGINEER, SPECIAL PROGRAMS This team focuses on engineering and deploying AI capabilities ... Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker/Kubernetes), or API ...

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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:
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 August 2026, with employment types broken down into 76% Full Time, 19% Part Time, 2% Temporary, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

GenAI Engineer (Python)

Evolver

Palo Alto, CA • On-site

Full-time

Re-posted 26 days ago

Job description

About Us:We're an innovative tech startup on a mission to change the game in professional services through Generative AI. By blending deep industry expertise with powerful AI-driven automation, we're building tools that make complex tasks easier, faster, and more accurate. As a new team member, you'll have the chance to learn, grow, and make a meaningful impact on our projects and products.Role Overview:We're looking for a motivated Software Developer who's ready to jump into the world of Generative AI! This is an amazing opportunity for a recent graduate with a passion for Python and a strong interest in AI development. You'll work alongside a supportive team to develop, test, and refine products that use cutting-edge AI technology to automate complex tasks in the professional services industry.Key Responsibilities:
  • Hands-on Development: Work with our team to develop and test AI-powered software solutions.
  • Collaborate: Partner with product managers, senior developers, and industry experts to understand project goals and deliver effective solutions.
  • Problem-Solving: Support the team in troubleshooting challenges, brainstorming solutions, and refining features to improve performance.
  • Learn and Grow: Gain experience with AI tools, frameworks, and cloud platforms under the guidance of senior team members.
  • Stay Updated: Keep learning about AI, machine learning, and software development to grow your skills.

Qualifications:
  • Education:
    • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Technical Skills:
    • Proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar.
    • Familiarity with fundamental concepts in data structures and algorithms.
    • Preferred:
      • Experience with LLMs from OpenAI, Anthropic, Google, or Meta and their application in chatbots, RAG systems, and agents
      • Experience with Cloud development, preferably Azure (e.g., Azure App Service, Azure Functions, Azure Database Services, Azure AI services, and Azure Search).
  • Soft Skills:
    • Ability to communicate and work well in a team.
    • Attention to detail and a proactive approach to problem-solving.
    • Enthusiasm for technology and a passion for innovation.
    • Willingness to learn and adapt quickly.

What We Offer:
  • Competitive Entry-Level Salary: Reflecting your skills and potential.
  • Flexible Work: Work options to support your lifestyle.
  • Growth Opportunities: Hands-on experience and professional development.
  • Cutting-Edge Environment: Work at the forefront of AI and technology.

Apply