Summary
✨ AI‑Generated
A remote AI engineering position focused on deploying production-grade language model systems for enterprise environments. The role combines technical architecture, client collaboration, and the ability to translate business needs into scalable AI solutions.
Highlights
Remote role working directly with enterprise stakeholders on advanced AI deployments, combining engineering, strategy, and customer-facing problem solving.
Description
We’re hiring: Brand Engineer (Forward-Deployed AI / Enterprise Systems) | UK or Europe Remote 🚀🤖
Bridge the gap between production multi-agent AI systems and enterprise brand strategy.
An elite AI venture backed by top-tier operators is onboarding Brand Engineers (Forward-Deployed) across the US (New York or West Coast preferred).
In this seat, you will sit across from C-suite leaders at Fortune 500 enterprises, own the scope, and deploy tailored multi-agent LLM systems directly into their marketing and digital ecosystems.
If you have built real, production-grade LLM architectures (orchestration, multi-agent frameworks, backend evaluation), understand the foundational digital marketing machinery (CRMs, DAMs, ad tech), and bring an autonomous founder mentality, this role is open for immediate consideration.
The Breakdown
Role: Brand Engineer (Forward-Deployed Engineer)Location: Remote — Remote UK or Europe (US hours) · Remote · Mid-levelTarget Compensation: Competitive base salary (benchmark: $170K – $230K+, flexible for standout technical talent) + comprehensive packageWork Authorization: Must be authorized to work in the US (no sponsorship)Team DNA: High density of former technical founders and senior systems buildersWhat You'll Do
Architect, build, and deploy production LLM and multi-agent systems tailored to complex enterprise brand workflows.Lead executive-level technical discovery and architecture scoping directly with C-suite and VP-level leaders at major global brands.Integrate generative systems with enterprise marketing stacks (DAMs, CRMs, CMS, ad network APIs across Google & Meta).Build resilient backend harnesses, evaluations, and orchestration pipelines with full autonomy.Translate ambiguous brand and marketing challenges into deterministic, scalable software solutions.What You Need
Production AI Engineering: Proven experience building and deploying production-grade LLM and multi-agent architectures (orchestration, retrieval, evaluation, agentic workflows)—not just wrapper prototypes.Marketing Ecosystem Literacy: Solid intuition for digital marketing infrastructure (CRMs, DAMs, digital asset lifecycles, paid media/ad platforms).
Agency or MarTech SaaS background is an asset.Executive Presence & Ownership: Ability to hold the room with enterprise executives, challenge assumptions, nail down scope, and execute independently.Founder Mentality: Biased toward rapid execution and total accountability without waiting for top-down direction.Note: This is an active forward-deployed engineering build seat—not an analyst, pure pre-sales, or isolated platform infra role.
