Applied AI Engineer Jobs in San Francisco, CA
Applied AI Engineer jobs in San Francisco concentrate in the Financial District, SoMa, and Mission Bay, across foundation model development, enterprise AI, and applied research for tech, biotech, and fintech employers. Companies currently hiring include OpenAI, Anthropic, and Amazon Web Services. Scan the live roles below and apply to whichever ones fit.
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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
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Find Applied AI Engineer JobsApplied AI Engineer Job Market in San Francisco
Who's Hiring
- OpenAI28

- Anthropic21

- Amazon Web Services7

- AMIGO5

- Cohere5

Top Industries Hiring
- Technology & Software40
- Science & Research14
- Biotechnology & Pharmaceuticals7
- Retail2
- Aerospace & Defense2
Applied AI Engineer Jobs in San Francisco: Frequently Asked Questions
How do I get a applied ai engineer job in San Francisco?
Focus your search on SoMa and Mission Bay, where AI-first startups and enterprise AI labs concentrate, and on the Financial District, where fintech and enterprise software companies embed applied AI teams. Candidates who demonstrate production-ready model deployment, experience with LLM fine-tuning, or a portfolio of shipped AI features move fastest in San Francisco's market. Referrals through the local AI meetup circuit carry real weight here.
Which companies hire applied ai engineers in San Francisco?
Companies currently hiring applied ai engineers in San Francisco include OpenAI, Anthropic, and Amazon Web Services, per current listings on Migrate Mate as of September 2026. San Francisco's employer mix skews toward AI-native startups, foundation model labs, and large tech companies with dedicated applied research divisions, giving candidates a wide range of team sizes and product stages to consider.
Are there remote applied ai engineer jobs in San Francisco?
Yes, though roles requiring GPU cluster access, on-site inference hardware, or close collaboration with research teams often expect in-office presence. About 69% of applied ai engineer openings tied to San Francisco are remote or hybrid as of September 2026, with remote arrangements most common for inference optimization, prompt engineering, and ML platform work that runs entirely in cloud environments.
How can I get a applied ai engineer job in San Francisco with little or no experience?
The most realistic entry path is through AI-adjacent roles at San Francisco's mid-stage startups, which regularly hire ML engineers or data scientists who want to move into applied AI. Contributing to open-source LLM tooling, completing a fellowship at one of the city's AI research nonprofits, or building a public project on a well-known benchmark dataset gives hiring managers something concrete to evaluate when your work history is limited.
Which industries hire the most applied ai engineers in San Francisco?
San Francisco applied ai engineer roles concentrate in Technology & Software, Science & Research, and Biotechnology & Pharmaceuticals, based on current listings on Migrate Mate as of September 2026. San Francisco's density of foundation model companies, AI-integrated fintech platforms, and health-tech firms building clinical decision tools makes it one of the most active hiring markets for applied AI talent in the country.
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