Forward Deployed AI Engineer

Scoutglobal — United States · Posted ~3 hours ago

Senior Full-time Onsite $150K-$300K + Equity

Skills

AI solutions LLM prompting full-stack development customer-facing engineering solution deployment AI LLM

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Summary ✨ AI‑Generated

A fast-growing AI-focused organization is seeking a senior engineer to deploy AI solutions, collaborate with enterprise users, and solve complex technical challenges.

Highlights

Work at the intersection of engineering and AI adoption, delivering advanced solutions and influencing technical direction.

Description

Forward Deployed Engineer Hyper-Growth AI Start-up Location: Redwood City, CA (Onsite) Salary $150k - $300k + Equity Join one of the fastest-growing AI companies in the market as a Senior Forward Deployed AI Engineer. Working directly with enterprise customers, you'll architect, deploy, and optimise AI-powered solutions that drive meaningful business outcomes. Operating at the intersection of engineering, product, and customer success, you'll solve complex technical challenges, influence product direction through customer feedback, and help shape the future of AI adoption within some of the world's leading organisations. Please note, this role is 996 role, you will be required to be in the office 5 days per week and work remotely on Sundays. What You’ll Be Doing: Lead end-to-end delivery of projects - from prototyping to production, communicating progress and risks clearly.Become go-to experts on building AI solutions, especially LLM prompting tips & tricks.Build full-stack integrations with enterprise tools.Partner with sales to engage clients.Scope projects, resolve blockers, and align teams with concise updates.Codify reusable patterns into tools or platform components.Translate field feedback into actionable product and GTM recommendations. Who You Are: 2+ years in customer-facing technical roles (e.g., Solutions Engineer, Technical PM, Customer Success/Support engineer, Ex-founder).Bachelor’s degree in Computer Science or similar.Confidently explain complex technical concepts to non-technical audiences.Delivered systems in fast-paced, ambiguous settings.Written production-grade code (Python, JavaScript, or similar).Understand LLM-powered systems and their impact on user experience. *Follow Scout Global for more roles like this*