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Baseten

Runs AI models for production software

Solutions Architect

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • AI/ML background and ability to credibly discuss AI/ML topics with technical stakeholders.
  • Strong customer-facing communication skills, including 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 using rapid coding approaches in technical workflows.

Responsibilities

  • Partner with Sales on customer discovery calls, most often second calls and 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 LLMs, embeddings, image and video generation, Voice AI, and other modalities.
  • Advise on infrastructure tradeoffs such as H100s versus B200s and latency-optimized versus throughput-optimized setups.
  • Drive consistent playbook-style deployments for common models and use cases.
  • Become a power user of runtimes such as vLLM, SGLang, and TRT-LLM, including their common configurations and tradeoffs.
  • Scope proofs of concept and keep stakeholders aligned on timeline, deliverables, and next steps.
  • Act as the project lead for proofs of concept.
  • Bring in Forward Deployed Engineering support when deeper or more complex technical work is needed.

Desired Qualifications

  • Experience running or supporting benchmarks for ML inference deployments.
  • Familiarity with infrastructure tradeoffs relevant to inference performance and cost, such as GPU selection and latency-versus-throughput tuning.
  • Experience serving as a cross-functional technical lead for customer proofs of concept, including coordination across Sales and Engineering.

About the Company

Baseten

Runs AI models for production software

Baseten runs AI models for software companies that need fast, reliable responses inside their products, from text generation to speech and image processing. Its Inference Stack combines optimized model runtimes with infrastructure that deploys, serves, and monitors custom or open models in production. Teams package models with its open source Truss tool, while Model APIs let developers test ready-to-use models and Training runs jobs that adapt models to their own data. Customers pay for computing time or tokens processed, with negotiated plans for larger deployments and support needs. Baseten was founded in 2019 and is headquartered in San Francisco.

Company size
201-500
Company stage
Series F
Total funding
$2.1B
Headquarters
San Francisco, CA
Founded
2019

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