Forward Deployed AI Engineer, Customer Adoption and Innovation
Red Hat · Remote (US NC)
About this role
Red Hat is hiring a mid-level Field Engineer in the software engineering function as a remote position. The posting calls out experience with Kubernetes, LLMs, Linux, DevOps. Compensation is listed at $118,600–$195,680 per year.
- Role
- Field Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Remote (US NC)
- Work mode
- Remote
- Posted
- May 18, 2026
More roles at Red Hat
Job description
from Red Hat careersAbout the Job
The Red Hat AI Customer Adoption and Innovation (CAI) team is looking for a North-America based Forward Deployed AI Engineer to join our rapidly growing AI Business Unit.
Note to applicants: We are looking to hire an AI Specialist, not to hire the AI itself. If you really think you are a good fit for this position, please include a cover letter in which you answer the following questions:
What do you expect to change in the world of AI in the next 2 years?
Which sentence from the job description resonated with you the most, and why?
As inference technologies become more mainstream, our customers are seeking deep expertise in optimization, scalability, and production readiness. In this role, you will act as a bridge between engineering and the customer's environment. You will be deployed to support lighthouse customer engagements, ensuring that Red Hat AI inference products are successfully implemented, tuned, and optimized to meet specific business requirements.
We are looking for a hands-on practitioner who understands that technical implementation must serve a business constraint—whether that’s cost, latency, or throughput. You will work directly with customers to design and deploy and optimize complex AI inference solutions, while simultaneously capturing those lessons to enable our wider field teams.