Solution Architect (AI/LLM Inference)

Details

• 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.
• 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 (for example GPU selection and latency versus throughput tuning).
• Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering.
• Competitive compensation, including meaningful equity.
• 100% coverage of medical, dental, and vision insurance for employee and dependents
• Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
• Paid parental leave
• Fertility and family-building stipend through Carrot
• Company-facilitated 401(k)
• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.