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Ai Platform Engineer Jobs in California (NOW HIRING)

Worky

AI Platform Engineer

San Francisco, CA · On-site

$180 - $240/hr

We're hiring multiple AI Platform Engineers to help build the foundation of an AI-first engineering organization. This is a high-impact role where you'll own the infrastructure, developer platform ...

New

Sapiom, Inc

AI Platform Engineer

San Francisco, CA · On-site

About the Role As a Staff AI Platform Engineer, you'll help define the technical direction of the platform from the ground up. You'll architect distributed systems that power AI agents in production ...

Sapiom

AI Platform Engineer

San Francisco, CA · On-site

$180 - $260/hr

About the Role As a Staff AI Platform Engineer, you'll help define the technical direction of the platform from the ground up. You'll architect distributed systems that power AI agents in production ...

Notable

AI Platform Engineer

San Mateo, CA · On-site

Notable builds AI-driven automation for healthcare. As a Senior AI Platform Engineer, you will design, build, and maintain LLM integrations that power AI features across Notable's solutions. You'll ...

Notable

AI Platform Engineer

San Mateo, CA · On-site

$170K - $205K/yr

Notable builds AI-driven automation for healthcare. As a Senior AI Platform Engineer, you will design, build, and maintain LLM integrations that power AI features across Notable's solutions. You'll ...

Notable Health

AI Platform Engineer

San Mateo, CA · On-site

$130 - $160/hr

Notable builds AI-driven automation for healthcare. As a Senior AI Platform Engineer, you will design, build, and maintain LLM integrations that power AI features across Notable's solutions. You'll ...

New

Applied Compute

AI Platform Engineer

San Francisco, CA · On-site

$190K - $310K/yr

  • Medical

  • Retirement

  • PTO

The role As an AI platform engineer, you'll build the products, interfaces, and tools that define how people interact with Applied Compute's agents. You'll own the full stack of our application ...

The University of Chicago

AI Platform Engineer

Kenwood, CA · On-site

  • Medical

  • Retirement

  • PTO

Job Summary The AI Platform Engineer provides the operational support of the University of Chicago's enterprise AI services. This position is responsible for the administration, governance support ...

BrainCo

AI Platform Engineer, Capabilities

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... robust platforms that support real-world AI applications for the world's most important institutions. If you are driven by high-stakes engineering and thrive on delivering systems built for ...

BrainCo

AI Platform Engineer, Capabilities

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... robust platforms that support real-world AI applications for the world's most important institutions. If you are driven by high-stakes engineering and thrive on delivering systems built for ...

Wisq, Inc.

Agentic AI Platform Engineer

Redwood City, CA · On-site

$120 - $160/hr

... engineers who thrive across the full spectrum of AI challenges--from LLM fine-tuning to agentic workflows. You'll transcend traditional tech stack roles, build not only AI platforms but also leverage ...

New

BrainCo

AI Platform Engineer, DevX

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... engineer at BrainCo can ship. As we grow from a handful of teams to dozens - building AI systems for governments and regulated industries - the platform that lets us move quickly without breaking ...

BrainCo

AI Platform Engineer, DevX

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... engineer at BrainCo can ship. As we grow from a handful of teams to dozens - building AI systems for governments and regulated industries - the platform that lets us move quickly without breaking ...

Brain Co.

AI Platform Engineer, DevX

San Francisco, CA · On-site

$120 - $150/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... engineer at BrainCo can ship. As we grow from a handful of teams to dozens building AI systems for governments and regulated industries, the platform that lets us move quickly without breaking what ...

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All JobsAi Platform Engineer JobsAi Platform Engineer Jobs in California

Ai Platform Engineer information

See California salary details

$32

$63

$93

How much do ai platform engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for ai platform engineer in California is $63.12, according to ZipRecruiter salary data. Most workers in this role earn between $49.81 and $72.84 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

What are popular job titles related to Ai Platform Engineer jobs in California?

For Ai Platform Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Platform Engineer jobs in California look for?

The top searched job categories for Ai Platform Engineer jobs in California are:

What cities in California are hiring for Ai Platform Engineer jobs?

Cities in California with the most Ai Platform Engineer job openings:

Ai Platform Engineer jobs near you
Infographic showing various Ai Platform Engineer job openings in California as of August 2026, with employment types broken down into 61% Full Time, 37% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $131,284 per year, or $63.1 per hour.

AI Platform Engineer

Worky

San Francisco, CA • On-site

$180 - $240/hr

Other

Posted 2 days ago

New

Job description

We're hiring multiple AI Platform Engineers to help build the foundation of an AI-first engineering organization. This is a high-impact role where you'll own the infrastructure, developer platform, and AI tooling that enables engineering teams to move faster, ship more reliably, and build enterprise-scale products.

What You'll Do
  • Design, build, and maintain scalable cloud infrastructure and internal developer platforms.
  • Improve CI/CD pipelines, deployment workflows, monitoring, and developer productivity.
  • Build AI-powered engineering workflows and tooling that accelerate software development.
  • Strengthen platform security, compliance, reliability, and operational readiness.
  • Evaluate and implement modern infrastructure, storage, and compute technologies.
  • Resolve production incidents while driving long-term reliability improvements.
  • Partner closely with engineering teams to enable fast, safe, and scalable product delivery.
What We're Looking For

Must Have

  • 5+ years of software or platform engineering experience.
  • Experience building and maintaining production infrastructure in a B2B SaaS environment.
  • Strong experience with:
    • Kubernetes & Docker
    • CI/CD pipelines
    • Cloud infrastructure (AWS, GCP, or Azure)
    • Infrastructure reliability, monitoring, deployments, and rollbacks
  • Proficiency in TypeScript and Python.
  • Experience scaling distributed systems and developer platforms.
  • Strong ownership mindset with the ability to work independently.

Nice to Have

  • Startup experience, ideally growing with a Series A or Series B company.
  • Previous Founder or Founding Engineer experience.
  • Experience building AI-first engineering workflows or internal AI tooling.
  • Experience with ETL pipelines, Cloudflare, SOC 2 environments, or developer productivity platforms.
  • Background in modern B2B infrastructure companies such as developer tools, data platforms, or SaaS products.
  • Degree from a top university.
Tech Stack
  • TypeScript
  • Python
  • Kubernetes
  • Docker
  • AWS / GCP / Azure
  • CI/CD
  • AI-assisted development tools
  • Cloud Infrastructure
  • Modern DevOps & Platform Engineering
Ideal Candidate
  • Thrives in fast-moving startup environments.
  • Enjoys building infrastructure that enables other engineers to be more productive.
  • Passionate about AI-native software development and modern engineering workflows.
  • Comfortable wearing multiple hats and solving complex infrastructure challenges.
  • Has a strong product mindset and cares deeply about customer impact.
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