Applied AI Engineer Jobs in California
Applied AI Engineer jobs in California are among the most actively recruited in the country, with demand concentrated in enterprise software, cloud infrastructure, autonomous systems, and health tech across experience levels from entry-level ML engineer to principal AI architect. The largest hiring metros are the San Francisco Bay Area, Los Angeles, and San Diego, where companies like Google, Meta, and Qualcomm maintain deep applied AI teams. The most sought-after specializations include large language model fine-tuning, real-time inference systems, and AI platform engineering. Find a role that fits below and apply directly.
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Technical Success - San Francisco
About the Team
The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with Healthcare & Life Sciences organizations to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams.
About the Role
As an AI Architect, you will be the senior technical owner for a named portfolio of Healthcare & Life Sciences customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact.
You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value.
You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations.
In this role, you will:
Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospects.
Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, and expansion opportunities.
Lead discovery with executives and technical teams to identify, qualify, and prioritize use cases tied to meaningful business outcomes.
Develop clear Applied AI Architectures spanning models, applications, data, integration, security, privacy, governance, evaluation, and deployment.
Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, securing confidence in both the solution and its path to production.
Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans.
Develop trusted relationships and technical champions across CTOs, CIOs, CISOs, AI leaders, engineering teams, and other customer stakeholders.
Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, product and domain specialists, partners, and other delivery teams.
Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution once engaged.
Track adoption, usage, account health, production readiness, and measurable customer impact, intervening early when risks threaten value realization.
Apply Healthcare & Life Sciences expertise to recognize repeatable patterns, sharpen customer priorities, and identify relevant expansion opportunities.
Share customer insights with Product, Engineering, and Research, translating field learnings into better products, architecture guidance, and reusable practices.
You might thrive in this role if you:
Have significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success.
Have guided enterprise organizations from technical evaluation through production adoption and measurable business impact.
Build credibility with senior technical and business leaders while communicating equally well with hands-on engineers.
Bring strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy.
Understand modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows.
Can prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript.
Exercise sound judgment about when to go deep personally, when to involve specialists, and how to define clear handoffs and ownership.
Have experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes.
Bring meaningful Healthcare & Life Sciences expertise or strong fluency with the needs of Healthcare & Life Sciences organizations.
Communicate clearly and can turn ambiguity into a practical technical narrative, executive decision, or action plan.
Work collaboratively across disciplines and care deeply about helping organizations deploy advanced AI responsibly.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core the full spectrum of humanity.
We are an equal opportunity employeration, or other applicable legally protected characteristic.
Background checks for applicants will be administered in accordance with applicable lawation technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities.
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Compensation
$221K – $278K + Offers Equity • Offers Commission
Technical Success - San Francisco
About the Team
The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with Healthcare & Life Sciences organizations to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams.
About the Role
As an AI Architect, you will be the senior technical owner for a named portfolio of Healthcare & Life Sciences customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact.
You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value.
You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations.
In this role, you will:
Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospects.
Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, and expansion opportunities.
Lead discovery with executives and technical teams to identify, qualify, and prioritize use cases tied to meaningful business outcomes.
Develop clear Applied AI Architectures spanning models, applications, data, integration, security, privacy, governance, evaluation, and deployment.
Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, securing confidence in both the solution and its path to production.
Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans.
Develop trusted relationships and technical champions across CTOs, CIOs, CISOs, AI leaders, engineering teams, and other customer stakeholders.
Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, product and domain specialists, partners, and other delivery teams.
Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution once engaged.
Track adoption, usage, account health, production readiness, and measurable customer impact, intervening early when risks threaten value realization.
Apply Healthcare & Life Sciences expertise to recognize repeatable patterns, sharpen customer priorities, and identify relevant expansion opportunities.
Share customer insights with Product, Engineering, and Research, translating field learnings into better products, architecture guidance, and reusable practices.
You might thrive in this role if you:
Have significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success.
Have guided enterprise organizations from technical evaluation through production adoption and measurable business impact.
Build credibility with senior technical and business leaders while communicating equally well with hands-on engineers.
Bring strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy.
Understand modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows.
Can prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript.
Exercise sound judgment about when to go deep personally, when to involve specialists, and how to define clear handoffs and ownership.
Have experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes.
Bring meaningful Healthcare & Life Sciences expertise or strong fluency with the needs of Healthcare & Life Sciences organizations.
Communicate clearly and can turn ambiguity into a practical technical narrative, executive decision, or action plan.
Work collaboratively across disciplines and care deeply about helping organizations deploy advanced AI responsibly.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core the full spectrum of humanity.
We are an equal opportunity employeration, or other applicable legally protected characteristic.
Background checks for applicants will be administered in accordance with applicable lawation technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities.
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Compensation
$221K – $278K + Offers Equity • Offers Commission
See All 186+ Applied AI Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Applied AI Engineer JobsApplied AI Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
Applied AI Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Amazon Web Services13
- Apple12
- OpenAI12
- Google9
- Anthropic9
Top Industries Hiring
- Technology & Software31
- Science & Research12
- Electronics & Hardware5
- Insurance3
- Banking & Financial Services3
What California Employers Look For
The qualifications that appear most often in applied AI engineer jobs across California.
- Bachelor's or master's degree in computer science, machine learning, or a related field
- Production experience deploying ML models using PyTorch, TensorFlow, or JAX
- Proficiency building and maintaining scalable ML pipelines and data workflows
- Hands-on experience with cloud platforms such as Google Cloud, AWS, or Azure
- Familiarity with LLM fine-tuning, prompt engineering, or retrieval-augmented generation
- Strong programming skills in Python and experience with MLOps tooling and CI/CD
Applied AI Engineer Jobs in California: Frequently Asked Questions
How do you become a applied ai engineer in California?
Applied AI engineering in California has no state-issued license, so the path runs through education and demonstrated technical skill. Most California employers expect a bachelor's degree in computer science, data science, or a closely related field, with a master's preferred at larger research-driven companies. Building a portfolio of deployed ML projects, contributing to open-source AI repositories, and completing industry-recognized credentials in deep learning or MLOps strengthens a candidacy considerably.
How much do applied AI engineers make in California?
Applied AI 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 applied ai engineers in California?
Employers hiring applied ai engineers in California right now include Amazon Web Services, Apple, and OpenAI, based on current listings on Migrate Mate as of September 2026. California's concentration of major tech headquarters, semiconductor firms, and AI-native startups makes it one of the broadest and most competitive applied AI hiring markets in the world.
Which California cities have the most applied ai engineer jobs?
The cities with the most applied ai engineer openings in California are San Francisco, Sunnyvale, and San Jose. The Bay Area leads because it is home to the headquarters of the largest AI research organizations and cloud platforms, while Los Angeles draws hiring from entertainment tech, autonomous vehicles, and enterprise software, and San Diego benefits from strong activity in defense technology and biotech.
Are there remote applied ai engineer jobs in California?
Yes, and more than most fields. About 60% of applied ai engineer openings tied to California are remote or hybrid as of September 2026, reflecting how much of the work involves code, experimentation, and collaboration through shared cloud environments. The most remote-friendly parts of the role are model development, research, and data pipeline work, while roles requiring on-device or edge-hardware integration tend to require in-person presence.
How can I get hired as a applied ai engineer in California with little or no experience?
The most realistic entry path is through a machine learning engineer or data scientist role at a California company that runs a structured new-grad program, with Google, Apple, and NVIDIA all running university-hire cohorts that place candidates into applied AI teams. Building and publishing end-to-end ML projects on GitHub, earning credentials like Google's Professional Machine Learning Engineer certification, and targeting AI-adjacent roles such as data engineer or ML infrastructure engineer are the concrete steps that open doors without prior industry experience.
Where can I find and apply to applied ai engineer jobs in California?
You can find and apply to applied ai engineer jobs in California on Migrate Mate, which lists current California openings updated regularly. Search the listings for roles that match your experience level and specialty, then apply directly to the ones that fit.
See All 186+ Applied AI Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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