Enterprise AI Deployment Lead

United States Digital Space LLC; Paris; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

RSUs (Restricted Stock Units)

Unlimited PTO

Flexible hybrid work model

Mentorship programs

Wellhub memberships

Résumé du poste

United States Digital Space LLC is seeking a Senior/Lead AI Deployment Engineer to lead the hands-on implementation of enterprise AI solutions. You will direct AI agents, validate outputs, and translate customer needs into actionable specifications while ensuring measurable business impact.

You will collaborate with clients to define data requirements, build data models, dashboards, and KPIs, and drive adoption through value workshops and thorough handover.

Qualifications

• 4-7+ years in Management or IT consulting, data/solution consulting, or process improvement consulting.
• Experience building and configuring enterprise solutions on a platform.
• Ability to write precise specifications and evaluate AI-generated outputs.

Responsabilités

• Lead AI deployment with Apollo to build data models and KPIs.
• Define and implement platform solutions across the Process Intelligence Graph and related components.
• Validate outputs for accuracy and business relevance with customer context.
• Drive value creation workshops and define KPIs to measure impact.
• Train customers and enable handover for sustained adoption.

Connaissances

Management consulting

IT consulting

Data/solution consulting

Process improvement

English fluency

Formation

Bachelor’s or Master’s in Technology Management/Business Informatics/CS/Engineering/Business Administration

Outils

PQL

SQL

Python

Description du poste

United States Digital Space LLC is seeking a Senior/Lead AI Deployment Engineer to lead the hands-on implementation of enterprise AI solutions. You will direct AI agents, validate outputs, and translate customer needs into actionable specifications while ensuring measurable business impact.

You will collaborate with clients to define data requirements, build data models, dashboards, and KPIs, and drive adoption through value workshops and thorough handover.