3 Forward Deployed AI Engineer Roles Hiring Right Now (Up to $280K+)
Nyaradzo
February 18, 2026
If you saw my last post about Forward Deployed AI Engineers, you know this is one of the fastest-growing, highest-paying roles in tech right now. Job postings grew 1,165% year-over-year and top engineers in these roles are earning $200K-$400K+ in total comp.
So I went and found three that are actively hiring. Here's what each one looks like:
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1. Palantir — Forward Deployed AI Engineer
New York, NY (Hybrid)
$135,000 – $200,000 base + equity + bonus
Palantir invented this role — and they describe it like being a "hands-on AI startup CTO." You'll work in small teams, own high-stakes projects with clients, and build LLM workflows at scale. Your job is to take Palantir's AI platform and make it work in the real world for their customers.
What they're looking for:
Why it's interesting: You'll be on the forefront of extending Palantir's footprint into new markets opened up by Gen AI — and you get to contribute learnings from the field back to their AIP product suite.
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2. OpenAI — Forward Deployed Software Engineer (SF)
San Francisco, CA (Hybrid, 3 days in office)
$220,000 – $280,000 base + equity + benefits
Up to 50% travel
OpenAI's FDE team partners with their most strategic customers to turn research breakthroughs into production systems. You'll embed deeply with users, scope and build full-stack solutions, and ship fast. This isn't a support role — you're leading complex deployments of frontier models in production.
What they're looking for:
Why it's interesting: You're working with the most advanced AI models in the world and helping shape how businesses actually use them. Plus, you'll identify reusable patterns that directly influence OpenAI's product roadmap.
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3. Scale AI — Forward Deployed AI Engineer, Enterprise
San Francisco, CA or New York, NY
$179,400 – $224,250 base + equity + benefits
Scale AI is the data backbone behind some of the biggest AI companies in the world. In this role, you'll be the technical bridge between Scale's AI platform and their most strategic enterprise customers — building custom integrations, deploying AI agents, and designing RAG systems tailored to each client.
What they're looking for:
Why it's interesting: The sample projects tell the story — building deep research agents for due diligence at professional services firms, churn prediction models for telecom companies, and voice agents for healthcare organizations. This is real AI deployed in the real world.
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The Common Thread
All three roles share the same DNA: strong engineering skills, hands-on experience with LLMs, and the ability to communicate with people who aren't engineers. If you can build AND explain what you built, you're exactly what these companies are looking for.