Baseten

4 months ago

Solution Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

The Solution Architect will partner with Sales and customers to translate business needs into technical AI/ML solutions, lead technical discovery, and guide repeatable deployments and proofs of value. You’ll own demos, scoping, benchmarking, and POC execution across multiple modalities, working with engineering to ensure successful deployments and scalable playbooks for AI inference at Baseten.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key 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-LMM 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.

Pay and Benefits

Salary: USD 165,000 - 275,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceEquity401kParantal LeaveVision

Key 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.

Experience:AI/MLEnterprise softwareCloud infrastructure

Skills:CommunicationPresentationCollaborationProblem-solving

Tech Stack:LLMsEmbeddingsVoiceAIVllmSglangTRT-LMM

Company Brief

Baseten

Baseten provides an inference-first ML infrastructure platform that lets engineering and ML teams deploy, serve, and scale machine-learning models with optimized performance, autoscaling, and GPU-backed hosting for production AI applications. ([crunchbase.com](https://www.crunchbase.com/organization/baseten?utm_source=openai))

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2019

Glassdoor: 5.0

Website LinkedIn Glassdoor

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Baseten

4 months ago

Solution Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key 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-LMM 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.

Pay and Benefits

Salary: USD 165,000 - 275,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceEquity401kParantal LeaveVision

Key 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.

Experience:AI/MLEnterprise softwareCloud infrastructure

Skills:CommunicationPresentationCollaborationProblem-solving

Tech Stack:LLMsEmbeddingsVoiceAIVllmSglangTRT-LMM

Company Brief

Baseten

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2019

Glassdoor: 5.0

Website LinkedIn Glassdoor