Solutions Architect

Excerpt from the original posting

About the Role 

As a Solutions Architect at Together AI, you will work with customers and prospects to create business value through Generative AI applications. Solutions Architects at Together are trusted advisors to our customers that evaluate, identify and demonstrate how Together can solve their AI needs. As key contributors to our sales organization, Solution Engineers add tremendous value to the customer journey and directly impact company growth and revenue. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment.

Responsibilities 

- 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

- Run complex demonstrations and POCs of Together’s entire stack, including both hardware and software solutions

- Collaborate with sales to qualify new prospects and support existing customers along their journey to build cutting-edge Generative AI solutions

- Build and maintain strong relationships with customer leadership and stakeholders, ensuring the successful deployment and scaling of their applications

- Deliver high-value feedback to our Product, Engineering, and Research teams, ensuring our platform continues to evolve to meet customer needs

- Build educational content and tooling for both internal and external use around Together’s solutions (i.e., playbooks, blogs, demos, etc.)

Qualifications 

- 5+ years of experience in a customer-facing technical role with at least 2 years in a pre-sales function 

- Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.

- 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, with 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), and scripting and programming languages (Python, Javascri…

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