Solutions Architect (Inference)

Join Together AI as a Solutions Architect (Inference) and work with customers to create business value through Generative AI applications. As a trusted advisor, you will evaluate and demonstrate how Together can solve AI needs, run complex demonstrations and POCs, and build strong relationships with customer leadership. You will also provide feedback to our Product, Engineering, and Research teams, and create educational content around Together's solutions. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success.

• Act as a technical advisor to strategic customers, supporting the ideation and development of innovative applications using OSS models.
• 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.
• 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
• 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
• Must have a demonstrable background in building and delivering technical solutions within a Solutions Consulting / Pre-Sales environment, with strong experience leveraging the latest open-source models, ideally within inference-driven use cases
• Strong technical background, with knowledge of AI, ML, GPU technologies and their integration into high-performance computing (HPC) environments
• Familiarity with infrastructure services (e.g., Kubernetes, SLURM), infrastructure as code solutions (e.g., Ansible), container infrastructure Docker), and scripting and programming languages (Python, Javascript)
• 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
• 7+ years of experience in a customer-facing technical role with at least 2 years in a pre-sales function
• Ability to operate in dynamic environments, adept at managing multiple projects, and comfortable with frequent context switching and prioritization
• Strong sense of ownership and willingness to learn new skills to ensure both team and customer success