AI Solution Architect Jobs in California
AI Solution Architect jobs in California represent one of the most active markets in the country, with strong demand from technology, cloud services, enterprise software, and financial services sectors at levels from entry-level associate to principal and staff architect. The heaviest hiring concentrates in the San Francisco Bay Area, Los Angeles, and San Diego, where companies like Google, Salesforce, and IBM have deep California roots and ongoing headcount needs. The most in-demand specialties include generative AI integration, cloud-native architecture on platforms like AWS and Azure, and MLOps pipeline design. Find a role that fits below and apply directly.
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Overview
You will spend time with the marketers who own a channel, watch how they work, map where the time goes, and find the high-volume, repeatable steps where an agent changes the economics. You will develop an understanding of what opportunities exist that were never before possible to execute. You will learn the specialized marketing domains well enough to know what a good outcome looks like, will write the case for what to build, define the success metric, measure the baseline prioritize on expected value, and bring marketing, legal, data, and platform partners along on the plan.
Responsibilities
You build what you scoped working closely with domain SME’s. The agents span the marketing lifecycle. Agents find the insights in our data, help decide what to test, write the brief and the copy, generate the creative, prepare the legal review, ship the experience, and analyze the results.
You write the evals that decide whether an agent's output is good enough to ship, and the harness they run in. You do the integration work yourself, against our data warehouse, marketing platforms, creative tooling, and review systems.
You own what you ship. After launch you track cost, latency, failure rate, and quality drift. You decide where a person must stay in the loop and where a checkpoint is only friction, and you build toward agents that improve themselves over time using learning loops.
While marketing is the focus, the same agents reach into Legal, Finance, and Sales wherever their work sits inside a campaign, so you will learn those functions well enough to help build solutions at the intersection of marketing and those adjacent functions. You will chain their pieces and ours into new end-to-end workflows, and we feed back what we learn so their platforms improve with every build.
Qualifications
Growth mindset, extremely curious, passionate about AI and what is possible, comfortable with ambiguity , highly collaborative, high EQ, and strong leadership skills to help facilitate AI adoption across the organization
Strong product management fundamentals, including deep customer empathy, sound judgment, structured problem solving, prioritization, and the ability to identify the highest-value problems to solve—not just automate what already exists. You’ve shipped internal and external products to large numbers of customers.
You can decompose an end-to-end business process into steps an agent executes reliably, and decide where a person has to stay in the loop.
You have written production agent logic yourself and can walk through a workflow you built end to end, including what broke and how you fixed it.
You have written evals and built the test harness for an AI system, and used them to decide what ships.
Demonstrated ability to design effective prompts, workflows, and autonomous coding processes that allow AI agents to handle complex, multi-step tasks while maintaining strong quality, security, and reliability.
Working fluency in building deterministic portions of agentic workflows with languages such as python, javascript, SQL
Familiarity with systems architecture and integrations: API’s, MCP’s, webhooks, AI orchestration frameworks (claude plugins, langchain, etc)
You write and speak clearly with marketers, specialists in other functions, and senior leaders
Bachelor's degree or equivalent practical experience. Computer Science, Engineering, Data Science, Economics or a related technical field preferred.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
Oakland $169,000 - $229,000
See All 8 AI Solution Architect Jobs in California
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Find AI Solution Architect JobsAI Solution Architect Jobs by City in California
Where California roles are concentrated, by current openings.
AI Solution Architect Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Fintech
- Banking & Financial Services
What California Employers Look For
The qualifications that appear most often in AI solution architect jobs across California.
- Bachelor's or master's degree in computer science, engineering, or a related technical field
- Five or more years of hands-on experience designing and deploying enterprise AI or ML solutions
- Deep expertise with at least one major cloud platform such as AWS, Azure, or Google Cloud
- Demonstrated ability to translate business requirements into scalable AI architecture designs
- Experience with large language models, generative AI frameworks, or MLOps tooling and pipelines
- Strong communication skills to present technical architecture decisions to non-technical stakeholders
AI Solution Architect Jobs in California: Frequently Asked Questions
How do you become a ai solution architect in California?
There is no state-issued license required to work as an ai solution architect in California, so the path runs through education and cloud certifications. Most California employers expect a bachelor's or master's degree in computer science, engineering, or a related field, combined with hands-on AI or cloud engineering experience. Certifications from AWS, Google Cloud, or Microsoft Azure carry real weight with California tech and enterprise employers and are often listed as requirements rather than preferences.
Which companies hire ai solution architects in California?
Employers hiring ai solution architects in California right now include AMD, Intuit, and NVIDIA, based on current listings on Migrate Mate as of November 2026. California's concentration of cloud platform headquarters, enterprise software firms, and financial technology companies means demand is spread across both large tech names and mid-size organizations building out AI capabilities.
Which California cities have the most ai solution architect jobs?
Santa Clara, Irvine, and Oakland have the most ai solution architect openings in California. The Bay Area leads because it is home to the headquarters of many of the largest cloud and enterprise AI companies in the world, while Los Angeles draws demand from media technology, e-commerce, and fintech firms, and San Diego benefits from its biotech and defense technology sectors.
Are there remote ai solution architect jobs in California?
Yes, and more than most fields. About 50% of ai solution architect openings tied to California are remote or hybrid as of November 2026, reflecting how much of this work involves design reviews, stakeholder calls, and documentation rather than on-site infrastructure. The portions most likely to remain fully remote are discovery, architecture documentation, and cross-team technical advisory work.
How can I get hired as a ai solution architect in California with little or no experience?
The most realistic entry path is moving into an ai solution architect role from a cloud engineer, data engineer, or ML engineer position, which many large California tech employers use as a direct pipeline for architect-track candidates. Companies like Google, Salesforce, and major California-based financial institutions run associate architect and technical residency programs that accept strong engineers with cloud platform certifications even without formal architecture titles. Building a portfolio of architecture diagrams and proof-of-concept projects on public cloud platforms, and earning a professional-level AWS or Google Cloud certification, will give a California application a concrete edge.
Where can I find and apply to ai solution architect jobs in California?
You can find and apply to ai solution architect jobs in California on Migrate Mate, which lists current California openings across industries and experience levels. Find a role that fits and apply directly.
See All 8 AI Solution Architect Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find AI Solution Architect Jobs