The companies defining the future of AI are a small number of startups training, tuning, and operating models at scale. They are run by ambitious founders, who solve the hardest problems across a variety of different industries. They are moving fast, operating at the edge of what technology can do, and defining the possibilities of computing for years to come.
We are looking for technical builders who are passionate about helping startups at the frontier of AI to grow. This role requires someone who is equally comfortable in deep architectural conversations and advisory discussions. For someone who understands that for a startup, the right technical decision and the right business decision are rarely separate.
In this position, you will work directly with a portfolio of frontier AI startups, helping them architect, train, fine-tune, and deploy AI systems at scale. Your conversations will range from low-level discussions about chip types to high-level explorations of advanced prompt engineering.
Your work will extend beyond individual customer relationships. You will serve as a direct feedback channel to product teams, translating patterns you observe across your portfolio into concrete input on what should be built and improved. You will contribute to the broader technical community through written content and conference presentations, sharing knowledge at a scale that one-on-one work alone cannot reach.
Key job responsibilities
- Advise a range of funded AI Startups to adopt the right architecture for them.
- Support startups in architecting scalable, reliable, and secure solutions.
- Support adoption of a broad range of AWS services to deliver business value and accelerate growth.
- Support the evolution and roadmap of the AWS platform and services, connecting our engineering teams with our customers for feedback.
- Establish and build technical relationships within the startup ecosystem, including accelerators, incubators, and VCs.
- Develop startup specific technical content, such as blog posts, sample code, and solutions to assist customers solve technical problems and reduce time-to-market.
A day in the life A day in the life of a Frontier AI Solutions Architect is rarely the same. Expect to have a variety of different types of technical conversations revolving around applied AI and infrastructure, meetings with VCs and incubators, and opportunities to build and present AI content and projects.
About the team Frontier AI is a team of builders. We work with our customers, peers, and cross-functional teams to build out what is possible with AI. Learning by doing, collaborating, and scaling knowledge is the culture of the team.
Basic Qualifications
- 2+ years of design, implementation, or consulting in applications and infrastructures experience
- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Experience in technology/software sales, pre-sales, or consulting
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML (Artificial Intelligence/Machine Learning), GenAI (Generative AI), Analytics, Database, and/or Storage experience
- Experience in enterprise scale infrastructure or development-based cloud programs/projects in a related industry
- Experience in a new unit business or a startup
Preferred Qualifications
- 2+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communities
- Experience architecting/operating solutions built on AWS
- Experience in a technical role within a sales organization
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