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Remote AI Solutions Architect jobs

7 open positions in the United States, newest first.

AI solutions architects help customers design systems built on machine learning models, most often large language models. They work with the customer's engineers on architecture, including retrieval, agents, evaluation, cost and security, and usually build a working prototype to prove the approach. The role is typically attached to sales or customer success at an AI vendor, cloud provider or consultancy.

About the AI Solutions Architect role

What the work looks like

  • Run technical discovery with customer engineering and data teams.
  • Design reference architectures for applications built on language models.
  • Build prototypes and proofs of concept in code.
  • Advise on evaluation, latency, cost and safety trade-offs.
  • Feed customer requirements and failure cases back to product and research.

What employers ask for

  • Python
  • Large language model APIs and prompt design
  • Retrieval-augmented generation and vector databases
  • Cloud platforms such as AWS, Azure or Google Cloud
  • Model evaluation
  • Technical presentation

Doing this job remotely

Architects are commonly home-based and meet customers by video, with travel for workshops, executive briefings and on-site design sessions. Territories are often regional, so residence in a given part of the country can be required. Work for government or regulated customers may demand US citizenship, a clearance or use of restricted environments.

Where it comes from and where it leads

Typical backgrounds are software engineering, machine learning engineering, data science and traditional solutions architecture. The role leads to principal architect, field chief technology officer or leadership of a solutions team.