AI Solutions Engineer Jobs in California
AI Solutions Engineer jobs in California are among the most active in the country, concentrated in enterprise software, cloud infrastructure, semiconductor design, and financial technology, with openings at every level from associate to staff engineer. The largest hiring metros are San Francisco, Los Angeles, and San Jose, where established employers like Google, Salesforce, and Cisco consistently bring on ai solutions engineers. The most in-demand specialties include large language model integration, MLOps pipeline development, and enterprise AI deployment architecture. Find a role that fits below and apply directly.
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Job Summary:
We are seeking a driven AI Solutions Architect to join our team and accelerate the adoption of AI across our teams within the car wash industry. In this cross-functional role, you will embed with our engineering and design teams to understand their processes and pain points, identify high-impact opportunities to apply AI, and take those ideas from concept through a working proof of concept to a finished tool for the individuals or teams to use. You will serve as the primary liaison between Innovation and our Digital Products and Platform teams, ensuring that validated solutions are productionized quickly and built to our standards. Your work will span AI assisted engineering and design pipelines, business analytics that give our customers and field data a voice in
engineering priorities, and forecasting tools that improve how we plan and deliver projects. This is a solution focused role rather than a heads-down development role. Success depends on your ability to pull together
stakeholders, data, tooling, and architecture into a complete picture, and to communicate clearly with technical and non-technical partners alike. By tying every solution to measurable gains in efficiency, quality, and scale, you will play a central role in shaping how Quick Quack leverages AI as we grow.
- Lead discovery sessions with business stakeholders to gather requirements, define success criteria, andtranslate needs into technical solution designs
- Evaluate, select, and recommend AI platforms, foundation models, tools, and vendors based on fit, cost,performance, and risk
- Develop reference architectures, solution blueprints, and technical documentation for AI-enabled systems
- Build rapid prototypes and proofs of concept to validate feasibility and business value before full-scale investment
- Partner with digital products engineering teams to productionize validated solutions within QQCW's supported languages, security stack, and standards
- Own the refinement and evolution of existing tools after initial delivery, driving them toward their full potential rather than letting them stall at the framework stage
- Tie solutions to business cases, quantify efficiency gains, quality improvements, and scaling benefits
- Collaborate with engineering, product, data, and operations teams throughout the solution lifecycle from design through deployment and support
- Performs other duties as assigned
- Bachelor's degree in computer science, engineering, or related field preferred; equivalent experience considered
- 5+ years in a solutions architect, technical product, software engineering, engineering leadership, or applied AI role
- Deep familiarity with large language models and generative AI platforms (e.g. Anthropic, OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI)
- Working knowledge of software architecture, APIs, data modeling, and integration patterns; able to design and mock a system end to end
- Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native architecture patterns
- Knowledge of AI governance, security, and responsible AI practices including data privacy and model risk
- Strong business mindset; comfortable framing work in terms of ROI, efficiency, and scale
- Excellent verbal, written, and presentation skills with the ability to communicate technical concepts to non-technical stakeholders
- Self-directed and high drive, thrives in ambiguous, loosely defined problem spaces and takes ownership through to completion
- If you are tasked to drive as a part of this role, then it is required that you have a clean driving record and a current Driver's License that is not suspended or expired.
- Prolonged periods of sitting at a desk and working on a computer.
- Must be able to lift up to 15 pounds at times.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.
Job Summary:
We are seeking a driven AI Solutions Architect to join our team and accelerate the adoption of AI across our teams within the car wash industry. In this cross-functional role, you will embed with our engineering and design teams to understand their processes and pain points, identify high-impact opportunities to apply AI, and take those ideas from concept through a working proof of concept to a finished tool for the individuals or teams to use. You will serve as the primary liaison between Innovation and our Digital Products and Platform teams, ensuring that validated solutions are productionized quickly and built to our standards. Your work will span AI assisted engineering and design pipelines, business analytics that give our customers and field data a voice in
engineering priorities, and forecasting tools that improve how we plan and deliver projects. This is a solution focused role rather than a heads-down development role. Success depends on your ability to pull together
stakeholders, data, tooling, and architecture into a complete picture, and to communicate clearly with technical and non-technical partners alike. By tying every solution to measurable gains in efficiency, quality, and scale, you will play a central role in shaping how Quick Quack leverages AI as we grow.
- Lead discovery sessions with business stakeholders to gather requirements, define success criteria, andtranslate needs into technical solution designs
- Evaluate, select, and recommend AI platforms, foundation models, tools, and vendors based on fit, cost,performance, and risk
- Develop reference architectures, solution blueprints, and technical documentation for AI-enabled systems
- Build rapid prototypes and proofs of concept to validate feasibility and business value before full-scale investment
- Partner with digital products engineering teams to productionize validated solutions within QQCW's supported languages, security stack, and standards
- Own the refinement and evolution of existing tools after initial delivery, driving them toward their full potential rather than letting them stall at the framework stage
- Tie solutions to business cases, quantify efficiency gains, quality improvements, and scaling benefits
- Collaborate with engineering, product, data, and operations teams throughout the solution lifecycle from design through deployment and support
- Performs other duties as assigned
- Bachelor's degree in computer science, engineering, or related field preferred; equivalent experience considered
- 5+ years in a solutions architect, technical product, software engineering, engineering leadership, or applied AI role
- Deep familiarity with large language models and generative AI platforms (e.g. Anthropic, OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI)
- Working knowledge of software architecture, APIs, data modeling, and integration patterns; able to design and mock a system end to end
- Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native architecture patterns
- Knowledge of AI governance, security, and responsible AI practices including data privacy and model risk
- Strong business mindset; comfortable framing work in terms of ROI, efficiency, and scale
- Excellent verbal, written, and presentation skills with the ability to communicate technical concepts to non-technical stakeholders
- Self-directed and high drive, thrives in ambiguous, loosely defined problem spaces and takes ownership through to completion
- If you are tasked to drive as a part of this role, then it is required that you have a clean driving record and a current Driver's License that is not suspended or expired.
- Prolonged periods of sitting at a desk and working on a computer.
- Must be able to lift up to 15 pounds at times.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.
See All 122+ AI Solutions Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find AI Solutions Engineer JobsAI Solutions Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
AI Solutions Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Amazon Web Services16
- NVIDIA5
- Apple4
- Innovaccer4
- Uber3
Top Industries Hiring
- Technology & Software15
- Retail3
- Electronics & Hardware2
- Healthcare & Medical Services2
- Manufacturing1
What California Employers Look For
The qualifications that appear most often in AI solutions engineer jobs across California.
- Bachelor's or master's degree in computer science, AI, or a related engineering field
- Hands-on experience designing and deploying machine learning or large language model solutions
- Proficiency in Python and familiarity with cloud platforms such as AWS, Azure, or Google Cloud
- Ability to translate complex client or business requirements into working AI system architectures
- Experience with MLOps tools, model monitoring, and production deployment pipelines
- Strong communication skills for presenting AI solutions to both technical and non-technical stakeholders
AI Solutions Engineer Jobs in California: Frequently Asked Questions
How do you become a ai solutions engineer in California?
Most ai solutions engineers in California enter the field with a bachelor's or master's degree in computer science, machine learning, or a closely related engineering discipline. There is no state-issued license required to work in this role in California. Employers typically look for demonstrated experience with AI frameworks and cloud platforms, and professional certifications from providers like Google Cloud, AWS, or Microsoft Azure carry real weight in California hiring decisions.
How much do AI solutions engineers make in California?
AI solutions engineers in California earn a median of about $174,410 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $105,060 for the lowest 10% to over $272,670 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai solutions engineers in California?
Employers hiring ai solutions engineers in California right now include Amazon Web Services, NVIDIA, and Apple, based on current listings on Migrate Mate as of September 2026. California's concentration of enterprise software firms, cloud providers, and semiconductor companies means demand is distributed across both large technology headquarters and mid-size product companies throughout the Bay Area and Southern California.
Which California cities have the most ai solutions engineer jobs?
San Francisco, Santa Clara, and Sunnyvale have the most ai solutions engineer openings in California. San Francisco and San Jose dominate because of the dense concentration of cloud, enterprise software, and AI-native companies headquartered in the Bay Area, while Los Angeles draws openings from its growing technology, media, and fintech sectors, making both metro clusters strong markets for this role.
Are there remote ai solutions engineer jobs in California?
Yes, and more than most fields. About 65% of ai solutions engineer openings tied to California are remote or hybrid as of September 2026, reflecting how much of the work involves software development, model configuration, and client consulting that can be done off-site. The portions of the role most likely to require in-person presence are on-site client integrations and live system demonstrations.
How can I get hired as a ai solutions engineer in California with little or no experience?
The most realistic entry path is a solutions engineer associate or technical account management role at a California-based cloud or software company, where you support senior engineers on client deployments before taking on AI-specific projects independently. Companies like Salesforce, Cisco, and Google run new-graduate and rotational programs in the Bay Area that place candidates with strong Python skills and academic AI project portfolios into entry-level solutions roles. Building a public GitHub portfolio of end-to-end ML deployments and earning a recognized cloud certification noticeably increases callback rates from California hiring teams.
Where can I find and apply to ai solutions engineer jobs in California?
You can find and apply to ai solutions engineer jobs in California on Migrate Mate, which lists current California openings across the Bay Area, Los Angeles, and beyond. Search the listings to find roles that match your experience and specialization, then apply directly to the ones that fit.
See All 122+ AI Solutions Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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