Solutions Architect, EMEA

Role overview A solutions architect is needed to partner with Sales and customers across EMEA, translating business needs into technical designs for AI inference deployments. The role leads technical discovery, demos, benchmarking, and proofs of value while guiding repeatable deployments for cutting-edge models in production. It suits entrepreneurial, customer-facing technical professionals who want front-row exposure to how modern AI companies ship models at scale, working shoulder-to-shoulder with engineering teams.

Responsibilities - Co-lead customer discovery calls with Sales, typically second-call engagements and first-call duties for large accounts. - Run demos and technical scoping sessions, aligning on success criteria, architecture, and deployment approach. - Own benchmarking and repeatable deployments across modalities such as LLMs, embeddings, image, video, and voice AI. - Advise on infrastructure tradeoffs (e.g., H100 vs. B200, latency-tuned vs. throughput-tuned setups) and become a power user of runtimes like vLLM, SGLang, and TRT-LLM. - Scope and project-manage proofs of concept, keeping stakeholders aligned on timeline, deliverables, and next steps. - Pull in Forward Deployed Engineering support when POCs require deeper or more complex technical work.

Requirements - AI/ML background with the ability to credibly discuss technical topics with engineering and product stakeholders. - Strong customer-facing communication skills, including structured discovery and clarifying ambiguous requirements. - Technical depth to scope solutions without needing to write production code. - Comfort scripting and prototyping, including light "vibe coding" to move quickly through technical workflows.

Nice to have - Hands-on experience running or supporting benchmarks for ML inference deployments. - Familiarity with GPU selection, latency-versus-throughput tuning, and cost tradeoffs. - Cross-functional technical lead experience coordinating POCs across Sales and Engineering.

Benefits and work setup - Competitive compensation with meaningful equity. - Flexible paid time off plus a company-wide winter break between Christmas Eve and New Year's Day. - Paid parental leave and a fertility and family-building stipend. - Region-specific medical, dental, and vision coverage where applicable, plus a 401(k) where offered. - Exposure to a range of ML startups and the inference ecosystem.