Solutions Architect

Baseten; United States; On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

Job summary

Baseten is seeking a Solution Architect to translate customer needs into scalable AI deployments. You will collaborate with Sales and engineering to scope, design, and deliver fast, value-driven proofs of concept for enterprise customers.

You will lead technical discovery, run demos, benchmark deployments, and coordinate cross-functional teams to ensure successful POC outcomes and repeatable deployment plays.

Qualifications

• 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.

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-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.

Job description

ABOUT BASETENBaseten 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 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-LLM and all the common configurations and tradeoffs between themDrive 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.

BENEFITSCompetitive compensation, incl