Many AI roles get advertised before the organization is ready for them
Many companies advertise AI positions before the data foundation, processes, and governance are in place. A Head of AI gets hired when a data engineer would first need to build the foundation. Or a data scientist joins where no use case with demonstrable value exists yet. Both lead to costly hires and AI projects that never translate into value.
What to resolve before hiring for AI
AI and data roles we fill
Head of AI / AI Transformation Lead
Owns strategy, roadmap, and value realization for your AI initiatives.
Machine Learning Engineer
Turns models from prototype into a productive, scalable operation.
Data Scientist & Data Engineer
Build the data foundation and the analyses that every AI application runs on.
AI Product Manager
Connects business need, technical feasibility, and measurable commercial value.
AI Governance & Compliance
Ensures compliant use of your AI, including under the EU AI Act.
Judgment grounded in consulting practice
Digilents is the sister company of the strategy consultancy FOSTEC & Company. That relationship shapes how we assess candidates: we know from consulting practice what an AI function in the mid-market actually needs to deliver, distinguishing credentials from demonstrated impact.
The right next step for your AI roadmap
Before you advertise an AI position, let’s clarify which step your organization actually needs next.