What Jane Michael AI Talent Search Is
Jane Michael AI Talent Search is a direct-placement search firm focused exclusively on engineers accountable for production AI systems across design, deployment, and operation. We work with BFSI-facing vendors whose products depend on production AI in regulated operating environments where regulatory, security, and audit constraints are default operating conditions.
What We Do Not Do
Scope discipline is intentional. We engage only where production AI accountability is central to product delivery.
- We do not run generalist engineering searches.
- We do not support research-only or prototype AI roles without production ownership.
- We do not prioritize AI-adjacent features that are not on the product's critical path.
- We do not engage on consumer or lightly regulated products.
- We do not run searches where disabling AI would not materially degrade product value.
How We Run a Search
Our process is structured around production accountability and defined scope.
- Define accountability first.
We clarify what the role owns when systems fail, not only when they work. - Filter for ownership.
We evaluate candidates based on direct responsibility for production AI outcomes, not participation or title. - Require evidence of constraints.
Candidates must articulate latency, cost, audit, security, and reliability conditions under which systems operated. - Present a reasoned shortlist.
Each candidate includes written rationale tied to defined accountability criteria. - Stay directly engaged.
We remain involved through offer acceptance to maintain clarity and alignment.
Operating Reality
Production AI in regulated environments carries operational and reputational risk. Security review, audit scrutiny, vendor risk assessment, and formal change-control processes shape how systems are approved, modified, and monitored. Hiring errors in this context carry material consequences for product integrity, governance posture, and institutional trust.
Our Mission
Help BFSI-facing vendors hire engineers who can own production AI systems operating under real security, audit, and governance constraints.
Our Commitment
Clear scope definition, evidence-based evaluation, and founder-led accountability through offer acceptance.
Dimitrios Drougas
Founder & Head of Client Partnerships
Dimitrios leads client partnerships and defines search scope and accountability. He works directly with founders and senior engineering leaders to structure each search mandate. He owns role clarity and decision alignment across the process. He remains directly engaged through offer acceptance to preserve scope clarity.
Michael Drougas
Founder & Head of Technical Evaluations
Michael leads technical evaluations and assesses candidates for production AI accountability. He assesses system maturity, operating constraints, failure handling, and ownership across design, deployment, and ongoing operation in live environments. He translates technical reality into structured hiring criteria for client decision-making.
Jane Drougas
Operations & Systems Lead
Leads operations and systems. Owns process infrastructure and search workflow discipline. Ensures structured communication and data consistency. Maintains transparency across client and candidate touchpoints.
Discuss a Production AI Search
If your organization operates production AI systems under regulated constraints, we are available to discuss scope and accountability requirements.
Book a Priority Search Call