Solutions Architect

Baseten

. Partner with Sales on customer discovery calls .

Posted 10/7/2026full-timeRemote • United StatesMid-LevelSenior💰 $145,000 - $290,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML, particularly in benchmarking and deploying models, while effectively communicating with technical stakeholders. Proficient in managing POCs and aligning cross-functional teams to ensure successful project outcomes.

Highest-signal resume keywords

AI/ML BackgroundCustomer-Facing Communication SkillsBenchmarking for ML Inference DeploymentsCross-Functional Technical Lead ExperienceScripting and Prototyping

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

BenchmarkingML Inference DeploymentsTechnical ScopingDeployment ApproachGPU ConfigurationLatency OptimizationThroughput OptimizationPOC ManagementStructured DiscoveryVibe Coding

Soft Skills

Customer CommunicationStakeholder AlignmentProject Management

Tools & Technologies

VLLMSGLangTRT-LLM

Industry Keywords

LLMsEmbeddingsImage GenerationVideo GenerationVoice AI

About the role

Key responsibilities & impact

Partner with Sales on customer discovery calls
Lead demos and technical scoping to align on success criteria, architecture, and deployment approach
Own benchmarking and repeatable deployments across LLMs, embeddings, image and video generation, and Voice AI
Advise on GPU and inference configuration tradeoffs, including H100s versus B200s and latency- versus throughput-optimized setups
Drive consistent playbook-style deployments for common models and use cases
Become a power user of vLLM, SGLang, TRT-LLM, and their common configurations and tradeoffs
Scope POCs and align stakeholders on timelines, deliverables, and next steps
Act as project manager for POCs
Pull in Forward Deployed Engineering support when deeper or more complex technical work is needed

Requirements

What you’ll need

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
Experience running or supporting benchmarks for ML inference deployments
Familiarity with infrastructure tradeoffs relevant to inference performance and cost, including 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

Comp & perks

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
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