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Описание вакансии
Текст:
TL;DR
Solutions Architect (AI): Designing and deploying repeatable AI inference solutions for customers, with an accent on technical discovery, deployment architecture, benchmarking, and proof-of-concept execution. Focus on evaluating GPU and runtime tradeoffs, building playbook-style deployments across LLM and multimodal workloads, and coordinating Sales, Engineering, and customer stakeholders.
Location: Remote
Salary: $145K–$290K plus equity
Company
Baseten provides applied AI infrastructure, inference, and developer tooling that help AI companies deploy production models.
What you will do
- Partner with Sales on customer discovery calls and translate business needs into technical solutions.
- Lead technical demos and scope architectures, deployment approaches, and success criteria.
- Own benchmarking and repeatable deployments across LLMs, embeddings, image and video generation, and Voice AI.
- Evaluate GPU and inference tradeoffs, including H100 versus B200 selection and latency versus throughput optimization.
- Run customer proofs of concept, coordinate timelines and deliverables, and involve Forward Deployed Engineering when deeper technical work is required.
- Use and evaluate inference runtimes such as vLLM, SGLang, and TRT-LLM.
Requirements
- Background in AI/ML and the ability to discuss technical topics credibly with customers and stakeholders.
- Strong customer-facing communication skills, including structured discovery and clarification of ambiguous requirements.
- Technical depth to scope solutions without writing production code.
- Ability to script and prototype as needed, including comfort with rapid technical experimentation.
Nice to have
- Experience running or supporting benchmarks for ML inference deployments.
- Familiarity with GPU selection and latency-versus-throughput tuning for inference performance and cost.
- Experience leading customer proofs of concept across Sales and Engineering.
Culture & Benefits
- Competitive compensation with meaningful equity.
- Flexible PTO and a company-wide Winter Break.
- Paid parental leave and a fertility and family-building stipend.
- Medical, dental, and vision insurance coverage for employees and dependents in the U.S.
- Company-facilitated 401(k) in the U.S.
- Exposure to a range of ML startups and their technical challenges.
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