Level

Baseten

Solutions Architect

Baseten is hiring a Solutions Architect for a remote role open to applicants in United States. It pays $165k-$330k a year and Level rates it ; you can apply on Baseten.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this solutions architect role: the daily work is on AI products, without building the model.
  • Pay on this posting starts in line with the typical solutions architect posting on Level.
  • This is listed as a remote role.
  • The posting mentions vLLM, Cursor and Clay among its tools and skills.
  • Baseten has 106 other open roles on Level.

AI in this role

vllmcursorclay
speechai-research

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).

How we rate this

Solutions Architect at Baseten rates 73 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

SpeechAI ResearchvLLMCursorClay

Also common in solutions architect jobs at this level

Pay

This job starts at
$165k
Typical solutions architect job
$168k

This posting starts close to the typical solutions architect job. See solutions architect jobs

Questions you could be asked

  1. What have you built with speech recognition or text-to-speech, and where did it break?
  2. Tell me about a research question you investigated. What did you find?
  3. What are the limits of vLLM that you've run into, and how did you work around them?
  4. What's a project where you used Cursor hands-on?
  5. Walk me through how you've used Clay in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Speech, AI Research, vLLM, Cursor, and Clay. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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