How AI is shifting talent strategy

While every emergent technology trend has required companies to change their talent profile, this wave of Agentic AI talent is a little tougher to staff. For one, the speed at which the core foundational technology itself is emerging requires constant experimentation and learning. Secondly, to make these AI initiatives successful, there is a need for deep domain expertise which is not common for computer engineering graduates. As a result of this, most companies we speak to are building their AI talent pipeline internally. As organizations define which areas will yield the most value in AI deployments, they need to build AI fluency within those business units as well as upskill existing talent. Many organizations are training their top domain experts so that specialists with deep knowledge in areas such as legal or regulatory compliance or operational workflows can encode their knowledge into agentic workflows.

For technology talent, the successful archetype is shifting from data science and machine learning engineers and towards strong application engineers/ architects with good soft skills. Many organizations are shifting their hiring processes to focus on critical thinking, learning and agility rather than pure hard skill assessments. Because AI has such strong technical capabilities, skills like analytical thinking and curiosity become the most important skills to screen for. Technical skills are easier to teach than soft skills. Companies are also taking their very best technologists and cross training them on business processes or embedding them within product organizations to gain domain expertise. 

New roles also continue to emerge. Companies are beginning to hire for roles such as AI responsibility, AI adoption specialists, agent coaches, among others. While not a new role, the most popular role, with an 800%+ demand in year on year job postings is the Forward Deployed Engineer (FDE). Pioneered by Palantir and adopted by Foundational and Big Tech, FDEs are customer-facing software engineers that work alongside client teams. As Meytier supports our clients’ hiring efforts to bring on FDEs, we find that even though the roles have strong technical requirements, there is an emphasis on communication, curiosity, and collaboration. 

As companies try to realize true value from their AI initiatives, the talent archetype they need is shifting. We’ve seen shifts both in the types of roles our clients are prioritizing as well as the personalities and experiences they’re looking for in potential candidates. One trend is clear: as AI takes hold, soft skills are more important than ever.