AI Talent · AI Leadership & Executive Search
Chief AI Officer, Head of AI, VP AI and Data, AI engineering and platform directors, distinguished architects and GCC AI heads. Before you recruit twenty AI engineers, make sure you have the leader capable of defining what those twenty people should own.
AI leadership and executive search at NeoIntelli covers Chief AI Officer, Chief Data & AI Officer, VP AI, VP Data, Head of AI, ML and GenAI, AI engineering and platform directors, distinguished AI architects and GCC AI heads in India. Searches are senior-led and confidential, run against a written mandate, and validated by NeoIntelli's own AI leadership on technical judgment and the ability to define what a team should own. You run the final interviews and make the decision.
Roles
Answer first
Six things. A candidate who can speak to fewer than five of them from experience is a senior engineer, not yet a Head of AI.
01
Which workflows, products and decisions AI will change, ranked by business value, and which it will not.
02
Topology, hiring sequence, seniority bar and the evaluation standard every engineer is held to.
03
Data, models, retrieval, agents, compute posture and the MLOps, LLMOps and AgentOps layer.
04
AI inventory, risk classification, controls and the evidence boards and regulators will ask for.
05
Metrics HQ already reads: cost, cycle time, quality, revenue, risk, adoption. Not model count.
06
Product, security, finance, legal and HQ leadership. The role fails on this axis more often than on the technical one.
How the search runs
STEP 01
Mandate definition
What the leader must own: outcomes, teams, platform, governance, budget, and how success is measured in year one.
STEP 02
Market map
Named mapping across AI-native companies, GCCs, product companies and research-led organizations, not database matching.
STEP 03
Confidential outreach
Senior-led conversations with leaders who are not applying anywhere.
STEP 04
Structured assessment
Leadership, technical judgment and operating track record assessed against the mandate.
STEP 05
Practitioner validation
NeoIntelli's AI leadership tests technical depth and the ability to define what a team should own.
STEP 06
Shortlist with evidence
Assessment context, references approach and risks, not a list of names.
STEP 07
Client interviews and decision
You run the final rounds and decide. NeoIntelli supports offer construction and transition.
For a new India center the mandate work is shared with AI Advisory & GCC Design, so the leader is hired against the GCC design rather than before it exists.
Buyer questions
The mandate, the team, the platform, governance, value measurement and the relationships with product, security, finance and HQ. A Head of AI who owns only the models is a senior engineer with a bigger title.
The search brief defines each of these before outreach starts, so candidates are assessed against the actual job.
Because the leader defines what the engineers should own. Twenty AI engineers hired against a vague mandate produce twenty pilots. One leader who sets the mandate, the topology and the evaluation bar makes every subsequent hire cheaper and more likely to succeed.
A Chief AI Officer sets enterprise AI strategy, governance and investment across functions. A Head of AI owns AI outcomes for a business unit, product or GCC and the team delivering them. An AI Engineering Director runs the engineering organization and its delivery, usually under one of the first two.
Confidential, senior-led outreach to people who are not applying anywhere, assessment against a written mandate, practitioner validation of technical judgment, and support through offer and transition. The validation flow is adapted for the seniority; the standard of evidence is the same.
Yes. The mandate work overlaps with AI Advisory & GCC Design, so the search brief and the GCC design are built together rather than in sequence.
Tell us the mandate you have in mind and the organization the leader will inherit. We will write the brief with you, map the market and show you how the assessment works before outreach starts.