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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Company Description
Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done.
There’s another option. Freshworks. With a fresh vision for how the world works.
At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 74,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world.
Fresh vision. Real impact. Come build it with us.
Job Description
Freshworks is seeking a Principal AI Solutions Engineer to serve as the AI technical leader for our North America Employee Experience business.
This is a highly strategic, customer-facing role focused on accelerating AI revenue growth, helping customers realize measurable business outcomes from AI investments, and scaling AI success across North America. You will partner with sales teams, executives, customers, product leaders, and fellow Solutions Engineers to position Freshservice AI capabilities, lead AI advisory engagements, and develop scalable programs that increase the impact of AI across our customer base.
You will serve as a trusted advisor to customers and internal stakeholders, helping organizations identify high-value AI opportunities, quantify business impact, establish success metrics, and build executive alignment around AI initiatives.
- Serve as the North America AI subject matter expert for Freshservice, partnering with Sales, Solutions Engineering, Customer Success, Product, and Marketing teams to drive AI revenue growth and customer outcomes.
- Lead AI advisory engagements with enterprise customers, facilitating executive workshops, discovery sessions, AI readiness assessments, business value discussions, and strategic planning sessions that align AI investments to measurable business objectives.
- Partner with account teams to identify, qualify, and execute AI opportunities across new business, expansion, and renewal motions, helping customers build compelling business cases for AI investments.
- Help customers identify and prioritize high-value AI use cases across ITSM, ITOM, ITAM, Employee Service Management, and enterprise workflows, while defining success criteria and measurable outcomes.
- Deliver compelling demonstrations, presentations, executive briefings, and proof-of-value engagements that showcase the business impact of Freshservice AI capabilities, including AI agents, workflow automation, agent productivity, self-service, and conversational experiences.
- Develop scalable frameworks, playbooks, value assessments, and best practices that enable teams across North America to effectively position, sell, and demonstrate the value of AI solutions.
- Act as a trusted advisor to Product and Engineering teams by sharing customer feedback, market trends, competitive intelligence, and emerging AI requirements that help shape future innovation.
- Mentor and enable Solutions Engineers, Account Executives, and Customer Success teams on AI positioning, business value conversations, executive engagement, and industry best practices.
Qualifications
- 10+ years of experience in Solutions Engineering, Solution Consulting, Technical Advisory, or related customer-facing technical roles within enterprise software.
- Deep understanding of AI, Generative AI, Large Language Models (LLMs), AI agents, automation technologies, and emerging trends shaping enterprise software.
- Proven track record of driving business value through transformational technologies, automation initiatives, or AI-driven solutions.
- Experience leading executive workshops, strategic discovery sessions, business value assessments, and consultative customer engagements.
- Strong understanding of ITSM, ITOM, ITAM, Enterprise Service Management, or adjacent operational technologies.
- Ability to connect technical capabilities to business outcomes and clearly articulate ROI, success metrics, and value realization strategies.
- Experience developing scalable programs, methodologies, or frameworks that drive impact across a broad customer or sales organization.
- Exceptional communication, presentation, and storytelling skills, with the ability to influence both technical and executive audiences.
- Experience partnering with Product Management, Product Marketing, Customer Success, and Sales leadership to drive customer and business outcomes.
- Comfortable operating independently across multiple strategic initiatives, stakeholders, and customer engagements.
- Experience with digital transformation initiatives, AI strategy engagements, organizational change initiatives, or business value consulting is highly desirable.
- Bachelor's degree preferred but not required.
Additional Information
The annual salary range for this position is $159,205 — $196,665 USD + Commissions
Compensation is based on a variety of factors including but not limited to location, experience, job-related skills, and level. Bonus/equity may be available.
Freshworks offers multiple options for dental, medical, vision, disability and life insurances. Equity + ESPP, flexible PTO, flexible spending, commuter benefits and wellness benefits are also offered. Freshworks also offers adoption and parental leave benefits.
At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us.
See All 149+ 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
- NVIDIA22

- Meta7

- Anthropic5

- Google4

- OpenAI4

Top Industries Hiring
- Technology & Software79
- Electronics & Hardware15
- Science & Research10
- Law & Legal Services9
- Consulting & Professional Services7
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 NVIDIA, Meta, and Anthropic, based on current listings on Migrate Mate as of June 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 San Jose 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 39% of ai solutions engineer openings tied to California are remote or hybrid as of June 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 149+ 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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