Solutions Architect
$180k - $260k • Remote • San Francisco
Posted 1mo ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
Fully remote
Categories
Applied AI Engineer
About the job
As a Solutions Architect at Together AI, you will work with customers and prospects to create business value through Generative AI applications. You will act as a trusted advisor, evaluating, identifying, and demonstrating how Together AI can solve their AI needs. This role is a key contributor to the sales organization, adding significant value to the customer journey and directly impacting company growth and revenue. It's 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 strategic customers, supporting the ideation and development of innovative applications using OSS models on Together AI.
- Run complex demonstrations and Proofs of Concept (POCs) of Together's hardware and software solutions.
- Collaborate with sales to qualify new prospects and support existing customers in building Generative AI solutions.
- Build and maintain strong relationships with customer leadership and stakeholders to ensure successful application deployment and scaling.
- Provide high-value feedback to Product, Engineering, and Research teams to evolve the platform.
- Create educational content and tooling, such as playbooks, blogs, and demos, for internal and external use.
Requirements
- 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, capable of explaining complex technical concepts to non-technical stakeholders.
- Ability to consult with customers to map business needs to technical solutions.
- Strong technical background in AI, ML, and GPU technologies, and their integration into high-performance computing (HPC) environments.
- Strong understanding of training, fine-tuning, and inference for 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 (e.g., Ansible), container infrastructure (Docker), and scripting/programming languages.
- Strong sense of ownership and willingness to learn new skills.
- Ability to operate in dynamic environments, manage multiple projects, and prioritize effectively.
Benefits
- Startup equity
- Health insurance
- Flexibility in terms of remote work