Baseten11.05.2026

Solution Architect (AI/LLM Inference)

Полная занятостьУдалёнка

Обязанности

01Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts).
02Lead demos and technical scoping to align on success criteria, architecture, and deployment approach.
03Own benchmarking and repeatable deployments, including handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, VoiceAI, etc.
04Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups.
05Driving consistent "playbook" style deployments for common models and use cases.
06Become a power user of different runtimes such as vllm, sglang, and TRT-LMM and all the common configurations and tradeoffs between them
07Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps.
08Acting as the "ringleader" or project manager for POCs.
09Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed.

01AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders.
02Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements.
03Technical depth to scope solutions, without needing to write production code.
04Ability to script and prototype as needed, including comfort "vibe coding" to move quickly in technical workflows.

01Competitive compensation, including meaningful equity.
02100% coverage of medical, dental, and vision insurance for employee and dependents
03Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
04Paid parental leave
05Fertility and family-building stipend through Carrot
06Company-facilitated 401(k)
07Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.