Solutions Architect

Together AI Together AI · Data AI · San Francisco, CA · Customer Success

Solutions Architect at Together AI to work with customers and prospects to create business value through Generative AI applications. This role involves acting as a technical advisor, running demonstrations and POCs, collaborating with sales, building relationships with customer leadership, delivering feedback to product/engineering/research, and building educational content. Requires 5+ years in a customer-facing technical role with 2+ years in pre-sales, strong technical background in AI/ML/GPU, understanding of LLM training/fine-tuning/inference, Python/JavaScript proficiency, and familiarity with infrastructure services.

What you'd actually do

  1. Act as a technical advisor to our most strategic customers, deeply embedding with them to support the ideation and development of innovative applications using OSS models on Together AI
  2. Run complex demonstrations and POCs of Together’s entire stack, including both hardware and software solutions
  3. Collaborate with sales to qualify new prospects and support existing customers along their journey to build cutting-edge Generative AI solutions
  4. Build and maintain strong relationships with customer leadership and stakeholders, ensuring the successful deployment and scaling of their applications
  5. Deliver high-value feedback to our Product, Engineering, and Research teams, ensuring our platform continues to evolve to meet customer needs

Skills

Required

  • 5+ years of experience in a customer-facing technical role
  • at least 2 years in a pre-sales function
  • Excellent communication and interpersonal skills
  • Ability to consult with new and existing customers to map business needs to technical solutions
  • Strong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments.
  • Strong understanding of training, fine-tuning and inference in the context of open source LLMs
  • Proficiency in Python and JavaScript
  • experience building and delivering prototypes on API platforms.
  • Familiarity with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible), container infrastructure Docker)
  • scripting and programming languages (Python, Javascript)
  • Strong sense of ownership
  • willingness to learn new skills
  • Ability to operate in dynamic environments
  • adept at managing multiple projects
  • comfortable with frequent context switching and prioritization.

What the JD emphasized

  • customer-facing technical role
  • pre-sales function
  • Generative AI applications
  • training, fine-tuning and inference
  • open source LLMs

Other signals

  • customer-facing technical role
  • pre-sales function
  • Generative AI applications
  • open source models
  • training, fine-tuning and inference
  • API platforms
  • high-performance computing (HPC)