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Senior Solutions Architect

Onboards customers to generative AI models with hands-on guidance on prompting, optimization, finetuning, and production integrations. Collaborates with sales, engineering, and research to bridge customer needs with technical solutions, creating enablement resources.

180k – 300kSan Francisco, CASolutions ArchitectureHybrid

About the role

Responsibilities

  • Onboard customers to our suite of models, providing hands-on guidance on prompting strategies, inference optimization, evaluation frameworks, and finetuning approaches that ensure best-in-class production integrations
  • Work alongside our Sales and BD teams on the most complex and high-stakes customer projects—the ones where deployment success has material business impact
  • Act as BFL's central internal hub, seamlessly connecting go-to-market, engineering, and applied research teams so customer insights flow in both directions
  • Create reusable technical enablement resources that amplify our sales team's effectiveness and technical fluency—documentation, demos, integration guides that scale beyond individual conversations
  • Translate customer technical feedback into actionable product insights, then collaborates with engineering and research teams to actually implement required updates and new features

Requirements

  • Deep understanding of generative AI and hands-on experience serving generative deep learning models in production settings
  • A track record of working directly with customers, iterating on solutions, and providing tailored support that actually moves the needle
  • Proficiency in Python and intuitive understanding of API integrations—enough to implement basic functionality and help customers build prototypes and demos
  • Experience explaining sophisticated technical concepts to both technical and business audiences without losing either group
  • Excellent communication skills honed through collaborating with non-technical stakeholders, with the ability to adapt your message depending on who's in the room

Nice-to-Haves

  • Prior experience finetuning diffusion models and working with customization tools like ComfyUI
  • Proven track record in solutions engineering, particularly on large and complex enterprise deals
  • Can architect solutions in complex enterprise environments where standard approaches don't work
  • Contribute to open-source projects in the diffusion model space and understand the community
  • Have deployed models on cloud platforms using state-of-the-art serving infrastructure

Compensation

Base Annual Salary: $180,000 - $300,000 USD

Skills

Generative AIDiffusion ModelsPythonAPI IntegrationsFinetuningComfyuiCloud PlatformsPrompting StrategiesInference OptimizationEvaluation Frameworks

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