Forward Deployed Engineer, Generative AI, Telecommunications, Google Cloud
We captured this posting once, on 2026-05-22, and did not track it afterwards — so we cannot tell you whether it is still open.
- Employer
- Location
- Addison, TX
- Seniority
- Mid level
- Experience asked for
- 6+ years
- Pay band
- $153K – $222K
When we saw it
- Posted 2026-05-08 — the date the employer published it
- Archived 2026-05-22 — when we saved this copy
Found via LinkedIn — US keyword pulls.
Skills the posting named
From the posting
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; New York, NY, USA; Addison, TX, USA . Minimum qualifications: Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 6 years of experience in Python and relevant machine learning packages (e.g., Keras, HF Transformers). Experience in applied AI, with a focus on designing and evaluating systems around foundation models (e.g., prompt engineering, fine-tuning, RAG, orchestrating model interactions with external tools to deliver solutions). Experience architecting, deploying, or managing solutions on a cloud platform. Preferred qualifications: Master’s degree or PhD in AI, Computer Science, or a related technical field. …
An excerpt. The full posting is Google's. Read it at the original source, if it is still up.
What this tells you about the FDE role
One posting is one data point. Read it alongside the rest of the archive and the market analysis — the seniority you actually need, what the role pays across levels, and which employers hire for it. If you are working out whether your background fits, start with the scorecard.
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