Forward Deployed AI Engineer (USA Based)

NielsenIQ•New York, NY

3d•Hybrid

About The Position

NIQ is building a new kind of team focused on forward-deployed AI solutions. These teams embed with large consumer and retail enterprises to build AI-powered decision applications. These applications integrate NIQ data with client data, aiming to deliver working software within weeks and measure success based on client business results. The AI Deployment Architect is a key role within these teams, responsible for identifying high-leverage problems, understanding client business needs deeply, and ensuring the developed solutions are adopted and integrated into client workflows. This role typically does not involve extensive software engineering but requires a deep understanding of how large organizations operate, acting as a domain expert embedded with a client.

Requirements

4+ years in roles close to how commercial organizations run — consulting, category or revenue growth management, insights, customer success, or solutions delivery
Domain grounding in CPG, retail, or consumer/commercial data
A track record of getting busy operators to change how they work
A structured communicator who turns messy conversations into crisp requirements and decisions
Comfortable in ambiguity, on client site, and in the room where decisions get made

Nice To Haves

Experience on forward-deployed or embedded teams, or in early-stage products finding product-market fit
Familiarity with NIQ/GfK data or retail measurement

Responsibilities

Embed with client teams to find the highest-leverage problems — the recurring decisions where better data changes the outcome this quarter
Map how work actually gets done: who decides, who blocks, which workflow has been quietly broken for years
Translate business reality into requirements engineers can build against, and keep scope honest against the metric that matters
Own adoption and change management on the ground — onboard users, remove friction, turn skeptics into references
Act as the client bridge: run working sessions, manage expectations, and surface the next opportunity while the current one is live