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Baseten
Baseten
11 – 50 Employees
H1B Visa SponsorArtificial IntelligenceEnterpriseSaaS
Baseten provides model inference infrastructure for companies deploying machine learning and AI applications. Its platform is built for fast, scalable serving, combining high-throughput inference, rapid deployment, autoscaling, secure enterprise model serving, and support for open-source model packaging. Baseten helps engineering and machine learning teams manage the operational demands of model infrastructure so they can focus on developing domain-specific models. The company operates across artificial intelligence, SaaS, and enterprise technology, with a team of 11–50 employees.
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Solutions Architect – AI/ML Inference, Remote United States

Join Baseten as a Solutions Architect helping customers turn AI/ML requirements into production-ready inference deployments and proofs of concept. Work with Sales and Engineering on discovery, demos, benchmarking, architecture, and technical delivery.

USUnited States
$145,000 – $290,000 / year
RemoteFull-timeMiddleSeniorEnglish RequiredSolutions Engineer

Description

  • Collaborate with Sales during customer discovery calls
  • Lead demonstrations and technical scoping around success criteria, architecture, and deployment plans
  • Own benchmarking and repeatable deployments for LLMs, embeddings, image and video generation, and Voice AI
  • Guide customers through GPU and inference configuration choices, including H100 versus B200 selection and latency-versus-throughput optimization
  • Develop repeatable deployment playbooks for common models and use cases
  • Build deep practical expertise in vLLM, SGLang, TRT-LLM, and their typical configurations and tradeoffs
  • Define proofs of concept and coordinate stakeholders on timelines, deliverables, and next steps
  • Manage customer proofs of concept as the technical project lead
  • Engage Forward Deployed Engineering when projects require deeper or more complex technical support

Requirements

  • Background in AI/ML with the credibility to discuss technical topics with customer stakeholders
  • Strong customer-facing communication skills, including structured discovery and the ability to resolve ambiguous requirements
  • Technical expertise sufficient to scope solutions without writing production code
  • Ability to script and prototype when needed, with comfort using rapid coding workflows
  • Experience conducting or supporting benchmarks for machine learning inference deployments
  • Understanding of infrastructure decisions affecting inference performance and cost, including GPU selection and latency-versus-throughput tuning
  • Experience leading customer proofs of concept across Sales and Engineering as a cross-functional technical owner

Benefits

  • Competitive compensation with meaningful equity
  • For U.S. employees and dependents, full medical, dental, and vision insurance coverage
  • Flexible paid time off with a company-wide Winter Break
  • Paid parental leave
  • Fertility and family-building stipend through Carrot
  • For U.S. employees, a company-facilitated 401(k) plan
  • Opportunities to work with diverse ML startups and expand learning and professional networks

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