Production AI, not experimentation
We focus on live AI systems that customers depend on, not research, prototypes, demos, or AI that sits outside the product's core value.
We focus on the people accountable for production AI when it has to work under real customer, security, reliability, governance, and regulatory constraints. That includes engineers with direct technical ownership and technical leaders accountable for the teams, systems, and decisions behind those outcomes.
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We focus on live AI systems that customers depend on, not research, prototypes, demos, or AI that sits outside the product's core value.
Our searches can span individual contributors who directly own production systems and technical leaders responsible for the organizations, platforms, and technical decisions behind those outcomes.
We work with AI-native vendors serving banks, insurers, and other regulated financial institutions where security, governance, auditability, reliability, and controlled change materially shape how products are built and operated.
We focus on what someone has actually been responsible for in production, not whether their title happens to say AI, ML, Platform, Forward Deployed, VP Engineering, or something else.
Specialist Search
We recruit individual contributors and technical leaders accountable for production AI outcomes at AI-native vendors serving regulated financial institutions.
Engineers with direct technical accountability for production AI systems, including the work required to design, deploy, operate, secure, govern, or remediate those systems in regulated environments.
Explore engineering searchTechnical leaders with substantive engineering foundations and real authority over the teams, systems, and decisions responsible for production AI outcomes.
Explore technical leadership searchJane Michael works with AI-native vendors whose products depend on production AI and serve regulated financial institutions as core customers.
The product depends on AI to deliver its primary value. If AI is removed or materially degraded, customer outcomes materially change.
The systems are live, monitored, measured, and operated continuously, not limited to research, pilots, or prototypes.
Responsibility for AI behavior, deployment, reliability, incidents, and ongoing improvement remains within the company.
Banks, insurers, and other regulated financial institutions are core customers whose requirements materially affect how the product is built and operated.
We stay deliberately narrow. Jane Michael does not focus on:
We clarify the production outcome, technical scope, accountability, and regulated constraints the hire needs to carry.
We build the search around demonstrated responsibility and relevant operating experience, not title matches alone.
We look for concrete evidence of production ownership, decision authority, failure handling, and experience under the constraints relevant to the role.
You receive a focused slate with a clear rationale for why each person matches the search.
We stay engaged through interviews, feedback, offer, and acceptance.
Hiring a production AI engineer or technical leader? Share the role, responsibilities, timing, and anything else that would help us understand the search.