The #ForwardDeployedEngineer model, done right in the PSAP/ECC, has to be built on a foundation of genuine technical fluency in public safety systems. Not general #AI deployment experience, actual knowledge of how 9-1-1 infrastructure works and why it's built the way it is.
.@AnthropicAI, @OpenAI, @awscloud (#AWS), and @Microsoft just spent fifteen billion dollars in nine weeks proving something we have believed at @BayOneSolutions since December.
"The model was never the product. The deployment is."
Now the harder question. If the labs and hyperscalers all needed to build a harness, a methodology, and a corps of embedded people on top of their own models, why would you choose their FDE org over an independent one.
Four reasons come down to one word. "Ownership."
Who owns the system when the engagement ends. Whose incentives are pointed at your outcome instead of their cloud bill.
This is the ground BayOne has always built on. AI-native, model-agnostic, and structured so what we build together stays yours. Full breakdown in the article, linked in first comment.
If you are weighing a hyperscaler FDE org against an independent partner right now, let's talk. Happy to walk through what ownership actually looks like in an engagement, and how we would approach it for your environment specifically.
#ForwardDeployedEngineer#FDE#EnterpriseAI#VendorLockIn#AINative#CIO#AIStrategy#BayOne
Google DeepMind has now joined the FDE bandwagon!
Following multi-billion dollar investments by OpenAI ($10B), Anthropic ($1.5B), Amazon ($1B), and Microsoft ($2.5B).
1) For a pure research lab to advertise an FDE role makes little sense. However, the FDE play here is different from the more traditional sales focused play:
→ This FDE embeds with DeepMind's strategic partners, runs systematic evals on their real workloads, and feeds those signals straight back to the core AI (Gemini) research teams.
→ It requires a research and experimentation mindset with a strong focus on evals to mine deep technical insights from real-world deployments back to the product.
2) The #ForwardDeployedEngineer role has been through 3 generations:
→ FDE 1.0 (Palantir): embed and build inside the customer
→ FDE 2.0 (OpenAI, Anthropic, Big Tech): deploy frontier models into the enterprise
→ FDE 3.0 (DeepMind): embed with the model teams, turn production reality into research signal
3) Full breakdown of this development in my blog: sundeepteki.org/advice/googl…
4) For any one interested in FDE career path, check out my #FDE career guide and 1-1 coaching program - sundeepteki.org/forward-depl…