Solutions Architect

Baseten

San Francisco (CA)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation including equity
100% insurance coverage for employee and dependents
Generous PTO policy
Paid parental leave
Company-facilitated 401(k)
Exposure to various ML startups

Job summary

A leading AI infrastructure company is seeking a Solution Architect to partner closely with Sales and customers. This role involves translating business needs into technical solutions, driving customer discovery, and guiding technical deployments. Ideal candidates will have an AI/ML background, strong communication skills, and the ability to scope solutions without writing production code. This position offers competitive compensation and a collaborative environment for innovative AI development.

Qualifications

  • Ability to credibly discuss AI/ML topics with stakeholders.
  • Strong skills in structured discovery and clarifying requirements.
  • Technical depth to scope solutions without writing production code.

Responsibilities

  • Partner with Sales on customer discovery calls.
  • Lead demos and technical scoping for success criteria.
  • Own benchmarking and repeatable deployments.
  • Drive POC and project execution for stakeholder alignment.

Skills

AI/ML background
Customer-facing communication skills
Scripting and prototyping

Job description

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 $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.

THE ROLE:

As a Solution 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, VoiceAI, 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‑LMM 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.
  • 100% coverage of medical, dental, and vision insurance for employee and dependents
  • Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
  • Paid parental leave
  • 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.

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