Solution Architect

• As a Solution Architect at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers
• This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering
• 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

Benefits

• Remote-first work environment. The Baseten team is welcome to work from wherever they want; fully remote, in our San Francisco office, or a mix of both. Today, our team (including our founding team) is spread across the United States, Canada, and Armenia. We provide a $1,000 stipend for you to make your home-office comfortable and productive
• Regular in-person team summits. We get together as a team three times a year to plan, workshop, and most importantly, get to know each other better
• Unlimited PTO. We ask that everyone take at least 4 weeks of vacation. And we have a company-wide break between Christmas and New Year’s Day
• Full healthcare coverage. Medical, dental and vision insurance for you and your family
• Paid parental leave. 16-weeks fully paid parental leave (adoptive and non-birth parents included) and flexibility with schedules while returning to work
• Company-sponsored 401(k) for you to contribute to
• Learning and development budget. We encourage you to take classes, attend conferences, and invest in your craft and we’ll cover expenses to make it happen

• 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
• 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
• 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
• If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you