Solutions Architect, EMEA

Baseten
United States
Remote

Who this role is best for

Aimed at customer-facing technical professionals with AI/ML expertise who enjoy driving technical discovery and deployment playbooks, working remotely from the U.S. while collaborating closely with Sales and Engineering teams.

Best fit for

  • Entrepreneurial technical professionals with AI/ML experience and a passion for customer implementation.
    — “entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale”
  • Individuals comfortable with benchmarking and advising on complex technical trade-offs.
    — “Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups.”
  • Candidates who can lead POCs and manage cross-functional coordination without writing production code.
    — “Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering.”

Things to consider

  • The role involves heavy coordination with Sales and Engineering, not just standalone technical tasks.
    — “in close partnership with Sales and Engineering”
  • Candidates must be able to engage in technical discovery and solution design without writing code.
    — “Technical depth to scope solutions, without needing to write production code.”

How to stand out

  • Highlight experience with ML inference benchmarks and runtime tools like vLLM and TRT-LLM.
    — “Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM”
  • Emphasize your ability to translate business needs into technical architectures.
    — “translate business needs into technical solutions”
  • Showcase your track record in managing POCs and aligning stakeholders on deliverables.
    — “Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps.”
Pace · SteadyCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • partnering with Sales on customer discovery
  • leading demos and technical scoping
  • driving POC and project execution
Typical background
AI/ML backgroundtechnical sales experience

Skills & requirements

Required

Ai/mlCustomer-facing CommunicationTechnical DepthScripting And Prototyping

Preferred

Benchmarking ML Inference DeploymentsInfrastructure TradeoffsCross-functional Technical Lead

Stack & domain

Ai/mlTechnical DepthScriptingPrototypingCustomer-facing CommunicationProblem-solvingTeamworkAIInferenceDeployment

About the role

Original posting from Baseten via Ashby

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 https://www.baseten.co/blog/announcing-our-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 careers (Ashby)

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