Forward Deployed AI Engineer – Multi-Agent Systems & Martech (US Remote)

Remote | United States (New York or West Coast) | Full-time

MaxIT Consulting is looking for a Brand Engineer (Forward Deployed) for an AI-native brand engineering company that works directly with the marketing leadership of large US enterprises and rebuilds their marketing operations as multi-agent systems the client owns.

The Opportunity

This is a forward-deployed engineering role: you sit with marketing teams to map how the work is actually done, translate marketing objectives into requirements and architecture, and then build and evaluate the agentic system hands-on, watching for quality, brand drift and the wrong optimisation target.

Key Responsibilities

• Lead discovery with senior marketing stakeholders and own the scope of each engagement.
• Design, build and deploy LLM and multi-agent workflows in production (orchestration, backend, evaluation).
• Connect agentic systems with the marketing stack: CRM, DAM, CDP and paid media.
• Evaluate and iterate on system quality with measurable outcomes.

Required Qualifications

• Deep, hands-on engineering: LLM and multi-agent systems built and running in production, not only prototypes.
• Marketing domain literacy: CRM and DAM, how they connect to the digital marketing ecosystem, and how ads are bought on Google and Meta. Any industry.
• Senior and autonomous: comfortable with C-suite and C-suite-minus-one stakeholders, able to own the scope and then build it.
• Founder mentality and ownership of outcomes.

Nice to Have

• Experience at a digital agency or a martech SaaS company.
• Previous founder or early-stage experience.

Not a fit for entry-level profiles, pure platform/infrastructure profiles, or client-facing roles that no longer build hands-on.

Work Arrangement

Remote within the United States, based in New York or on the West Coast. Candidates must already be authorized to work in the United States.

HOW TO APPLY

Apply through this same channel with your updated resume and your expected gross annual base salary in USD.