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Solutions Architect

Baseten

Company websitebaseten.co (Baseten, opens in new tab)

Base salary $165K  to $330K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA +1 more

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  • LocationSan Francisco, CA +1 more
  • WorkplaceHybrid
  • Status at last checkSource accepting applications when checked
  • Last checked (2 h ago) · observed since
All places named
  • San Francisco, CA
  • New York, NY

About this job

ABOUT BASETEN

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.

THE ROLE
As a Solutions Architect at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering.


RESPONSIBILITIES

  • Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts).

  • Lead demos and technical scoping to align on success criteria, architecture, and deployment approach.

  • Own benchmarking and repeatable deployments, including:

  • Handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, Voice AI, etc.

  • Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups.

  • Driving consistent “playbook” style deployments for common models and use cases.

  • Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them

  • Drive POC and project execution, including:

  • Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps.

  • Acting as the “ringleader” or project manager for POCs.

  • Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed.

REQUIREMENTS

  • AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders.

  • Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements.

  • Technical depth to scope solutions, without needing to write production code.

  • Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows.

NICE TO HAVE

  • Experience running or supporting benchmarks for ML inference deployments.

  • Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning).

  • Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering.

BENEFITS

  • Competitive compensation, including meaningful equity

  • (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents

  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)

  • Paid parental leave

  • Fertility and family-building stipend through Carrot

  • (U.S. only) Company-facilitated 401(k)

  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Source: Baseten on Ashby · View original posting (opens in new tab)

This range next to 6 other live Baseten roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Baseten roles with the nearest advertised base floor
RolePublished base
Solutions Architect (this listing)$165K - $330K
Software Engineer - Training Product$165K - $330K
Product Manager, Developer Experience$165K - $330K
Software Engineer - Training Infrastructure$165K - $330K
Technical Program Manager, Infrastructure$165K - $330K
Engineering Manager, Cloud Platform$165K - $330K
Executive Assistant to Head of Engineering$160K - $180K

Same $100K to $400K scale as every card. All Baseten roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-02-25
Where this pay comes from

Location as the employer wrote it: San Francisco • New York

USD 165,000 – 330,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.