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Ai Solutions Engineer Jobs in California (NOW HIRING)

Divergent

AI Solutions Engineer

Torrance, CA

Purpose We are looking for an AI Solutions Engineer who not only builds cuttingedge generativeAI systems but also serves as the AI Enablement lead for the organization. You'll design, develop, and ...

Apple

AI Solutions Engineer

Cupertino, CA · On-site

Description As an AI Solutions Engineer on the Corporate FP&A Data Analytics team, you'll pair hands-on vibe-coding and AI-assisted development with the work that turns an idea into a real tool: user ...

Divergent

AI Solutions Engineer

Torrance, CA · On-site

$122K - $168K/yr

Purpose We are looking for an AI Solutions Engineer who not only builds cutting-edge generative-AI systems but also serves as the AI Enablement lead for the organization. You'll design, develop, and ...

Divergent

AI Solutions Engineer

Los Angeles, CA · On-site

$122K - $168K/yr

Purpose We are looking for an AI Solutions Engineer who not only builds cutting‑edge generative‑AI systems but also serves as the AI Enablement lead for the organization. You'll design, develop ...

Apple Inc.

AI Solutions Engineer

Cupertino, CA · On-site

$200 - $250/hr

Description As an AI Solutions Engineer on the Corporate FP&A Data Analytics team, you'll pair hands‑on vibe‑coding and AI‑assisted development with the work that turns an idea into a real tool ...

Apple

AI Solutions Engineer

Cupertino, CA

$175K - $263K/yr

Description As an AI Solutions Engineer on the Corporate FP&A Data Analytics team, you'll pair hands-on vibe-coding and AI-assisted development with the work that turns an idea into a real tool: user ...

3B Staffing LLC

AI SOLUTIONS ENGINEER

San Jose, CA · On-site

Communicate AI solutions and their benefits to stakeholders, providing regular updates on progress and performance * Collaborate with data scientists and data engineers to design, develop and ...

3B Staffing LLC

AI SOLUTIONS ENGINEER

San Jose, CA · On-site

Communicate AI solutions and their benefits to stakeholders, providing regular updates on progress and performance * Collaborate with data scientists and data engineers to design, develop and ...

Socket.dev

AI Solutions Engineer Lead

Brea, CA · On-site

$125 - $150/hr

AI SOLUTIONS ENGINEER (LEAD) Salary: Exempt Reports to: Matt Lowe, IT Manager Location: Brea, CA (On-Site) Estimated Pay Range: $120,000.00 - $145,000.00 Job Summary: Air Treatment Corporation (ATC ...

Fiddler

Senior AI Solutions Engineer

Palo Alto, CA · On-site +1

$65 - $83.75/hr

AI Engineers, Data Science, and business teams use Fiddler AI to monitor, evaluate, secure, analyze, and improve their AI solutions to drive better outcomes. Our platform enables engineering teams ...

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All JobsAi Solutions Engineer JobsAi Solutions Engineer Jobs in California

Ai Solutions Engineer information

See California salary details

$43.9K

$121.7K

$179.1K

How much do ai solutions engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for ai solutions engineer in California is $121,669.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $138,700.00 per year, depending on experience, location, and employer.

What is an AI Solutions Engineer?

AI Solutions Engineers are professionals who design, develop, and implement artificial intelligence-based systems and applications to solve business problems. They bridge the gap between AI research and practical deployment, working closely with data scientists, software engineers, and business stakeholders. Their responsibilities often include creating AI models, integrating them into products or workflows, and ensuring these solutions are scalable, reliable, and aligned with organizational goals.

How does an AI Solutions Engineer typically collaborate with cross-functional teams during a project lifecycle?

AI Solutions Engineers frequently work alongside data scientists, software developers, product managers, and business stakeholders throughout a project's lifecycle. Their role involves translating business requirements into technical AI solutions, integrating models into existing systems, and ensuring seamless deployment. Regular communication and collaboration are essential, as they often lead technical discussions, clarify project goals, and address implementation challenges. This cross-functional teamwork fosters innovation and ensures that AI solutions are practical, scalable, and aligned with business objectives.

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

To thrive as an AI Solutions Engineer, you need a strong background in computer science, machine learning, and data analytics, typically supported by a relevant degree and experience with AI frameworks. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, Azure, or GCP), and proficiency in programming languages like Python are essential, along with certifications in AI or cloud technologies. Excellent problem-solving, communication, and teamwork skills help you translate business needs into technical solutions and collaborate across departments. These competencies ensure effective development, deployment, and integration of AI solutions that drive business value.

What is the difference between Ai Solutions Engineer vs Data Scientist?

AspectAi Solutions EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI/ML toolsBachelor's or higher in CS, Statistics, or related; strong statistical and programming skills
Work EnvironmentDevelops AI solutions, collaborates with engineering teams, implements models in productionAnalyzes data, builds models, interprets results for insights
Employer & Industry UsageTech companies, AI-focused firms, startupsResearch institutions, tech companies, finance, healthcare

While both roles involve AI and data, Ai Solutions Engineers focus on deploying AI solutions in production environments, working closely with engineering teams. Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their focus on implementation versus analysis.

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

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

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

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

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

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

Ai Solutions Engineer jobs near you
Infographic showing various Ai Solutions Engineer job openings in California as of August 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $121,669 per year, or $58.5 per hour.

AI Solutions Engineer

Divergent

Torrance, CA

Full-time

Re-posted 29 days ago

Job description

Purpose

We are looking for an AI Solutions Engineer who not only builds cuttingedge generativeAI systems but also serves as the AI Enablement lead for the organization. You'll design, develop, and productionize largelanguage and multimodal model solutions while dedicating a significant portion of your time to help teams adopt AI responsibly and effectively.

The Role

Help Build & Deploy AI Solutions

  • Collaborate with cross-functional teams to integrate and optimize generative AI solutions into products and processes.
  • Develop domain specific AI software using RAG and Agentic AI.
  • Collaborate with the data engineers, product teams, people operations, and legal to ensure compliant and responsible AI.
  • Implement usage monitoring and bias mitigation to improve result quality.

AI Adoption & Enablement

  • Act as the primary internal AI champion, providing guidance, training, and bestpractice workshops for the company.
  • Create and maintain selfservice resources (playbooks, tutorials, templates) that empower users to build and evaluate AI solutions safely.
  • Host regular "AI office hours," oneonone coaching sessions, and webinars to raise AI expertise across the company.
  • Partner with compliance and ethics teams to embed responsibleAI checks into everyday workflows.
  • Gather user feedback, translate it into product requirements, and drive iterative improvements to AI tools and platforms.
Basic Qualifications
  • B.S. in Computer Science/AI/ML (or related) with 3+years AI/ML engineering experience.
  • Proficient in programming languages such as Python.
  • Understanding of LLMs and multimodal models with their performance considerations and use cases.
  • Knowledge about prompt engineering, RAG, and building AI Agents.
  • Experience with ML/LLM libraries such as vLLM, LangChain, PyTorch, and HuggingFace.
  • Practical experience developing, deploying, and scaling AI Agents in a production environment.
  • Ability to translate complex technical concepts for nontechnical audiences and collaborate crossfunctionally.
  • Experience running trainings to teach and promote AI best practices.
  • Ability to create selfservice enablement assets (playbooks, tutorials, reusable component libraries).
  • Proven track record of gathering user feedback and iterating on AI tools to improve adoption.
  • Ability to lawfully access information and technology that is subject to US export controls
Preferred Qualifications
  • M.S. in Computer Science, AI, ML, or related field.
  • Proficiency in TypeScript.
  • Knowledge of ethical AI, compliance frameworks, and safety standards.
  • Experience with multimodal pipelines and traditional AI/ML methods.
  • Handson MLOps: CI/CD, Docker, Kubernetes.
Work Environment
  • Hybrid
 

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