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Ai Platform Engineer Jobs in Rialto, CA (NOW HIRING)

Barrow Wise Consulting

AI Infrastructure Engineer

Norco, CA · On-site +1

$115K - $151K/yr

Blend AI platform engineering, secure distributed data architecture, and classified-environment deployment engineering. * Evaluate current systems, design modernization roadmaps, and build secure ...

Jitsu, Inc.

Senior DevOps/Platform Engineer

Riverside, CA · On-site

$120 - $147/hr

We're looking for a Senior DevOps / Platform Engineer to help evolve the infrastructure that powers ... AI-driven SRE & DevOps mindset -- familiarity with AIOps (anomaly detection, intelligent alerting ...

New

Jitsu, Inc.

Senior DevOps/Platform Engineer

Ontario, CA · On-site

$120 - $147/hr

We're looking for a Senior DevOps / Platform Engineer to help evolve the infrastructure that powers ... AI-driven SRE & DevOps mindset -- familiarity with AIOps (anomaly detection, intelligent alerting ...

New

Munich Re

Sr. Solution Architect

Jurupa Valley, CA · On-site

Guide the integration of AI/ML capabilities into analytics platforms , including predictive, prescriptive, and generative AI use cases. * Collaborate with Data Science, Engineering, Security, and ...

Munich Re

Sr. Solution Architect

Hesperia, CA · On-site

Guide the integration of AI/ML capabilities into analytics platforms , including predictive, prescriptive, and generative AI use cases. * Collaborate with Data Science, Engineering, Security, and ...

Munich Re

Sr. Solution Architect

Fontana, CA · On-site

Guide the integration of AI/ML capabilities into analytics platforms , including predictive, prescriptive, and generative AI use cases. * Collaborate with Data Science, Engineering, Security, and ...

Munich Re

Sr. Solution Architect

Corona, CA · On-site

Guide the integration of AI/ML capabilities into analytics platforms , including predictive, prescriptive, and generative AI use cases. * Collaborate with Data Science, Engineering, Security, and ...

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All JobsAi Platform Engineer JobsAi Platform Engineer Jobs in Rialto, CA

Ai Platform Engineer information

See Rialto, CA salary details

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$64

$95

How much do ai platform engineer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for ai platform engineer in Rialto, CA is $64.13, according to ZipRecruiter salary data. Most workers in this role earn between $50.62 and $73.99 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 job categories do people searching Ai Platform Engineer jobs in Rialto, CA look for?

The top searched job categories for Ai Platform Engineer jobs in Rialto, CA are:

What cities near Rialto, CA are hiring for Ai Platform Engineer jobs?

Cities near Rialto, CA with the most Ai Platform Engineer job openings:

Ai Platform Engineer jobs near you

AI Infrastructure Engineer

Barrow Wise Consulting

Norco, CA • On-site

$90K - $180K/yr

Full-time

Posted 14 days ago

Job description

Enjoy problem-solving, need a venue to display your creativity, and emerging technologies pique your interest; if so, Barrow Wise Consulting, LLC is for you. As a multi-disciplined leader, you understand the gifts that set you apart from everyone else. Demonstrate innovative solutions to our clients. Join Barrow Wise Consulting, LLC today.
Responsibilities:
The AI Infrastructure Engineer will support Barrow Wise and perform the following duties:
  • Assess legacy infrastructure, identify modernization gaps, and design the next-generation AI + Data Mesh infrastructure + Zero Trust 2.0 for federal mission environments.
  • Blend AI platform engineering, secure distributed data architecture, and classified-environment deployment engineering.
  • Evaluate current systems, design modernization roadmaps, and build secure, scalable AI infrastructure capable of supporting agentic AI, RAG pipelines, autonomous workflows, and distributed data governance.
  • Identify gaps in scalability, observability, compliance, and AI readiness.
  • Design and implement scalable AI infrastructure for model inference, RAG, vector databases, agentic AI, and high-performance GPU workloads.
  • Build deterministic, well-tested deployment tooling for air-gapped, on-prem, and classified environments.
  • Produce modernization roadmaps aligned with federal cybersecurity and zero-trust requirements.
  • Collaborate with stakeholders to understand the gaps and required improvements in the various enclaves
  • Work Remotely, but some travel is required to California

An Ideal Candidate has:
  • US Citizenship and Secret Clearance
  • Master's Degree or PhD in Engineering, Computer Science, Mathematics, or a related field
  • 8 years of systems engineering and AI infrastructure development expertise

Barrow Wise Consulting, LLC offers an ethical, challenging, diverse, and rewarding experience. Join us and become part of an enthusiastic, responsible team that delivers innovative solutions to our clients. We provide competitive compensation packages, attractive benefits, and great careers. Barrow Wise is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LBGT.
Our employees stand behind Barrow Wise's core values of integrity, quality, innovation, and diversity. We are confident that Barrow Wise's core values, business model, and team focus create positive career paths for our employees. Barrow Wise will continue to lead the industry in delivering new solutions to clients and persevere until the client is overjoyed.

Apply