Solutions Architect

Solutions Architect (AI Infrastructure) – San Francisco, CA Salary: USD 150,000-USD 175,000 per annum + Equity + Benefits + Bonus + PTO. Are you an engineer who loves solving complex, real‑world problems directly with customers? Do you want to work hands‑on with cutting‑edge AI infrastructure used by developers and enterprises around the world, while continuing to develop both your technical and client‑facing skillsets? This is a rare opportunity to join a profitable, fast‑growing AI startup at the heart of the LLM ecosystem. The team is building a unified platform that lets developers call any LLM through a single, standardized API, eliminating vendor lock‑in and integrating seamlessly with frameworks like LangChain and LlamaIndex. With 30,000+ GitHub stars and customers like Adobe, Netflix, and NASA running all of their LLM calls through the platform, this is AI infrastructure at real enterprise scale. Founded in 2023 and nearing $10 million ARR, the company is looking for a Solutions Architect to own the technical relationship with key customers across pre‑ and post‑sales. You’ll conduct demos, tackle complex architecture challenges, and ensure customers extract maximum value from the platform, while feeding real‑world insights directly back into the product roadmap. You’ll operate as the bridge between AI innovation and client requirements, working closely with both customer engineering teams and internal product and engineering. Expect deep technical ownership, high customer‑facing impact, and the chance to help define how the world’s largest companies deploy LLMs in production. The Role Design, implement, and optimize solutions for customers across pre‑sales and post‑sales capacities. Collaborate with customers to identify business needs and tailor product integrations to their environments. Partner closely with engineering and product teams to drive the roadmap and deliver mission‑critical features. Serve as the technical and domain expert, bridging the gap between AI innovation and client requirements. Build and document best practices and solution templates for rapid customer deployment. The Person 1+ years of experience in sales engineering, solutions engineering, technical consulting, or related roles at high‑growth startups or tech companies. Strong experience working with a developer audience and selling a technical product. Solid technical background – Python and AI/ML product experience highly preferred. Excellent communication, relationship‑building, and problem‑solving skills. Proven ability to operate with autonomy in fast‑paced, high‑ownership environments. #J-18808-Ljbffr Rise Technical Recruitment