1

Ai Platform Engineer Jobs in California (NOW HIRING)

AI Platform Engineer

San Francisco, CA · On-site

$170 - $240/hr

Zof AI is seeking an AI Platform Engineer to own the platform our AI systems run on. This is a consolidated platform role spanning what the market posts as AI Infrastructure, MLOps, LLMOps, and agent ...

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 ...

AI Platform Engineer

San Francisco, CA · On-site

$180 - $240/hr

AI Platform Engineer About Tessera Labs Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding ...

AI Platform Engineer

San Francisco, CA · On-site +1

$200K - $250K/yr

AI Platform Engineer About Tessera Labs Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding ...

AI Platform Engineer

San Diego, CA · On-site

$130K - $150K/yr

About This Job Axos Bank is hiring an AI Platform Engineer to engineer, operate, and help govern the platforms and infrastructure that power the bank's AI and automation capabilities. This is a hands ...

AI Platform Engineer

San Diego, CA · On-site

$130K - $150K/yr

About This Job Axos Bank is hiring an AI Platform Engineer to engineer, operate, and help govern the platforms and infrastructure that power the bank's AI and automation capabilities. This is a hands ...

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 ...

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 ...

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 ...

AI Platform Engineer

San Francisco, CA · On-site

$190K - $310K/yr

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 ...

AI Platform Engineer

San Francisco, CA · On-site

$196K - $235K/yr

... AI frameworks. * Strong software engineering fundamentals including APIs, concurrency, testing, and system design. * Experience building developer platforms, orchestration systems, or workflow ...

AI Platform Engineer

San Francisco, CA · On-site

$180 - $240/hr

... AI frameworks. * Strong software engineering fundamentals including APIs, concurrency, testing, and system design. * Experience building developer platforms, orchestration systems, or workflow ...

... 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 ...

... 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 ...

Senior AI Platform Engineer

San Francisco, CA · On-site

$123K - $169K/yr

The AI for Engineering team builds a scalable, production-grade AI platform that powers creativity across design, imaging, motion, and personalization. We are seeking a Staff Engineer - AI for ...

next page

Showing results 1-20

Ai Platform Engineer information

See California salary details

$32

$63

$93

How much do ai platform engineer jobs pay per hour?

As of Sep 4, 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:

Infographic showing various Ai Platform Engineer job openings in California as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 64% In-person, and 36% Remote job distribution, with an average salary of $131,284 per year, or $63.1 per hour.

AI Platform Engineer

Zof AI

San Francisco, CA • On-site

$170 - $240/hr

Other

Posted 6 days ago


Job description

Zof AI is seeking an AI Platform Engineer to own the platform our AI systems run on. This is a consolidated platform role spanning what the market posts as AI Infrastructure, MLOps, LLMOps, and agent platform engineering: model serving and scaling, GPU and compute efficiency, and the provisioning, observability, and reliability infrastructure that keeps production agents stable. The ideal candidate has operated real AI workloads in production and builds infrastructure that lets a small team run systems well above its weight.

Engineering · Senior · Full-time · On-site · San Francisco, CA

Responsibilities
  • Design and operate model serving, scaling, and compute infrastructure.
  • Own GPU and inference efficiency, capacity, and cost.
  • Build the platform for provisioning, running, and scaling agents.
  • Build observability for AI systems: tracing, monitoring, and alerting.
  • Keep production AI systems stable, debuggable, and recoverable.
  • Automate deployment, rollback, and environment management.
  • Set reliability standards and incident practices for AI workloads.
  • Partner with engineers to make the platform fast to build on.
Requirements
  • Experience operating production AI, ML, or high-scale backend systems.
  • Strong infrastructure and systems engineering foundation.
  • Experience with cloud platforms, containers, and orchestration.
  • Experience with observability and reliability tooling.
  • Judgment about cost, performance, and operational trade-offs.
  • Clear written and verbal communication.
  • Comfort operating in a fast-moving environment.
  • High ownership of systems in production.
Nice to have
  • Experience with GPU clusters, inference servers, or model gateways.
  • Experience running agent workloads or long-lived AI processes.
  • Experience with Kubernetes, Terraform, or similar tooling.
  • Experience in early-stage platform teams.

Experience operating production AI or ML systems at scale is required

#J-18808-Ljbffr