Boards and CEOs searching for a Head of AI or Chief AI Officer in 2026 face the same core problem: the candidate pool is small, and the role is defined differently from one company to the next, so the search partner needs enough technical depth to assess candidates against an unsettled brief.
For organizations comparing executive search partners for Head of AI and Chief AI Officer appointments, this guide features firms with experience across AI leadership, executive search, and related technology mandates. The firms are listed in alphabetical order and are intended as a resource for comparing different areas of specialization and search capabilities.
Head of AI and Chief AI Officer Executive Search Firms (In Alphabetical Order)
[Table 1]
1. Christian & Timbers
Best for: Chief AI Officer, Head of AI, and VP of AI searches, including full AI leadership builds up to Chief Scientist.
Christian & Timbers runs retained executive search for technology, AI, and data leadership at the C-suite, VP, and board level. Its AI mandates cover Head of AI, Chief AI Officer, AI Director, VP of AI, VP of AI Engineering, Chief Scientist, and Chief Data Officer roles, along with board-level AI advisory seats.
Each search opens with role calibration that settles the mandate, reporting line, first-year outcomes, and compensation structure before sourcing starts. Assessment combines structured behavioral interviews, technical sessions run with the client's engineering leaders, and references that extend beyond the candidate's own list.
Best-fit client: AI-native companies, growth-stage technology platforms, and enterprises in regulated sectors such as financial services and healthcare.
2. Egon Zehnder
Best for: Chief AI Officer searches at European multinationals and global enterprises where AI governance, regulatory compliance under the EU AI Act, and long-term leadership development are primary concerns.
Egon Zehnder combines executive search with leadership assessment and succession planning through an international office network. AI leadership searches may involve organizations operating across multiple regions or working under governance requirements in different jurisdictions.
Long-term succession planning and executive development are recurring themes in the firm's broader advisory work.
Best-fit client: Global enterprises where AI leadership, governance, and succession planning are closely connected.
3. Harnham
Best for: Head of AI and AI Director searches at companies building data, analytics, and machine learning teams beneath an executive-level AI role.
Harnham is a specialist recruiter for data, analytics, and AI roles, working across permanent, contract, and executive search. Its AI leadership work includes Head of AI, Head of Machine Learning, and AI Director appointments tied to the technical teams it already recruits for.
Much of the firm's activity sits below the C-suite, which suits companies building out machine learning and data engineering capability before formalizing a Chief AI Officer role.
Best-fit client: Companies scaling data and machine learning teams that need hands-on AI leadership.
4. Heidrick & Struggles
Best for: Chief AI Officer searches at large enterprises undergoing AI transformation alongside broader organizational change.
Heidrick & Struggles places AI leadership within its broader technology, digital transformation, and leadership advisory practice. Appointments often form part of executive team redesign, operating model changes, or enterprise transformation initiatives.
The firm's work extends beyond executive hiring to include leadership advisory and organizational effectiveness, making it distinct in transformation-focused mandates.
Best-fit client: Organizations aligning AI leadership with enterprise transformation and executive team design.
5. Korn Ferry
Best for: Chief AI Officer and Head of AI searches embedded inside wider organizational consulting engagements, particularly where leadership assessment, capability mapping, and change management are required alongside the search.
Korn Ferry integrates executive search with leadership assessment, compensation advisory, and organizational consulting. AI leadership appointments frequently sit within broader initiatives involving executive structure, role design, and workforce planning.
Organizations reviewing compensation frameworks or evaluating AI leadership across multiple business units may consider this broader advisory model.
Best-fit client: Large enterprises combining AI executive hiring with leadership assessment and compensation planning.
6. Riviera Partners
Best for: Head of AI searches where the mandate overlaps heavily with VP Engineering or VP Product scope, and where technical fluency and product delivery track record are the primary evaluation criteria.
Riviera Partners specializes in technical executive search across engineering, product, and AI leadership. Head of AI assignments frequently overlap with engineering leadership where technical depth and product development experience shape candidate evaluation.
The firm's activity is concentrated in venture-backed technology companies building AI products and engineering organizations.
Best-fit client: Venture-backed technology companies hiring technical AI leadership.
7. Russell Reynolds Associates
Best for: Chief AI Officer and Head of AI searches that involve major leadership change, succession complexity, or cross-functional transformation alongside the technical mandate.
Russell Reynolds Associates conducts executive search alongside board and leadership advisory across global markets. AI leadership appointments may accompany executive succession, governance changes, or broader organizational transitions.
The firm's profile is most closely associated with organizations evaluating how AI leadership fits within an existing executive structure.
Best-fit client: Organizations managing AI leadership alongside succession or executive transitions.
8. Spencer Stuart
Best for: Chief AI Officer appointments where AI strategy is a board-level governance topic and the hire needs to operate with CEO and board-level credibility from day one.
Spencer Stuart centers its executive search practice on boards, CEOs, and senior leadership appointments. AI leadership searches often involve organizations where the Chief AI Officer works closely with the board, audit committee, or executive leadership.
Board governance, director relationships, and executive succession define this profile more than enterprise transformation initiatives.
Best-fit client: Public companies and board-led organizations where AI leadership carries governance responsibilities.
9. The Good Search
Best for: Chief AI Officer searches where diversity of candidate slate, investigative sourcing methodology, and confidentiality are the highest priorities.
The Good Search focuses on executive recruitment for AI leadership, with an emphasis on confidential searches and investigative candidate research. The firm also highlights diversity in executive candidate development for AI leadership appointments.
Its specialist approach emphasizes targeted sourcing and confidential executive recruitment.
Best-fit client: Organizations prioritizing confidential AI leadership searches and broad candidate outreach.
10. True Search
Best for: Head of AI and Chief AI Officer searches at venture-backed and growth-stage technology companies where speed and founder fluency matter most.
True Search recruits senior leaders for venture-backed and growth-stage technology companies. Its AI leadership work includes Head of AI and Chief AI Officer appointments where engineering, product, and AI strategy overlap.
The firm's activity is concentrated in founder-led and investor-backed technology businesses hiring executives during periods of rapid growth.
Best-fit client: Venture-backed and growth-stage companies building AI leadership teams.
How to Choose the Right Firm for the Mandate
The firms above represent different approaches to AI executive search. The framework below compares them by hiring context.
Growth-stage companies
Growth-stage companies hiring a first Head of AI often compare firms with experience in venture-backed technology businesses, equity-based compensation, and AI engineering leadership. Some searches place greater emphasis on technical leadership, while others prioritize product strategy or organizational growth.
Large enterprises
Large enterprises hiring a Chief AI Officer may compare firms with experience in board governance, executive succession, enterprise transformation, or AI leadership, depending on how the role fits within the broader executive team.
PE-backed companies
Private equity-backed software companies often look for firms with experience supporting portfolio company leadership hiring and executive appointments linked to value creation plans.
Regulated industries
Organizations in regulated sectors may prioritize firms with experience recruiting AI leaders in environments shaped by governance, compliance, and regulatory oversight.
Time-sensitive searches
Organizations working under compressed timelines may compare firms based on search process, candidate access, and experience recruiting AI leaders in similar markets.
Head of AI vs Chief AI Officer: Which Role Is the Company Hiring?
This question should be settled before any search firm is engaged. The two titles attract different candidate profiles and call for different compensation structures.
The Head of AI is appropriate for companies that need strong AI execution leadership but are not yet at the scale or organizational complexity where a C-suite title is warranted. The role is typically more technical, more hands-on, and sits closer to the engineering organization. It is most common at startups, growth-stage companies, and divisions within larger enterprises.
The Chief AI Officer is a C-suite appointment that carries enterprise-wide accountability for AI strategy, governance, and board-level communication. It requires executive presence, stakeholder management at the CEO and board level, and the ability to represent AI direction to investors, regulators, and customers. It is most common at large enterprises, companies where AI is a primary business driver, and organizations under regulatory scrutiny for their AI systems.
Companies often hire a Head of AI at Series B or Series C and evolve the title to Chief AI Officer as the company scales and the role expands. Planning for that transition at the point of hiring, including designing the equity and compensation structure accordingly, is a mark of a well-run search.
Chief AI Officer Compensation Benchmarks for 2026
Total compensation for Chief AI Officer and Head of AI roles varies by company size and scope. According to the Christian & Timbers 2026 Corporate AI Compensation Study, which draws on closed offer data from Q3 2025 through Q1 2026:
- At US public companies with 2,000 to 5,000 employees, Heads of AI earn base salaries of $300,000 to $525,000, with annualized equity of $350,000 to $2 million.
- At the same company size, Chief AI Officers earn base salaries of $500,000 to $750,000, with annualized equity of $500,000 to $5 million.
- At companies with more than 100,000 employees, Chief AI Officer base salaries range from $800,000 to $1.5 million, with annualized equity of $2 million to $12 million.
Equilar’s analysis of public company disclosures puts median total compensation for AI executives at $1.6 million.
These figures are directional. Every search requires current market mapping at the time of offer.
Frequently Asked Questions
How long does a Chief AI Officer search typically take?
A well-structured search with a clear mandate and an experienced search partner typically closes in 14 to 20 weeks from kickoff to accepted offer. Searches where the mandate is still being defined, or where the reporting structure has not been resolved, routinely take six months or longer.
Should the Chief AI Officer report to the CEO or the CTO?
This depends on the scope of the mandate. A CAIO with an enterprise strategy and governance mandate typically reports to the CEO. A Head of AI with a primarily technical mandate typically reports to the CTO. Misaligning the reporting structure with the actual scope of the role is one of the most common causes of early exits.
What is the difference between a Chief AI Officer and a Chief Data Officer?
The Chief AI Officer owns AI strategy, the model roadmap, and AI governance. The Chief Data Officer owns the data foundation: pipelines, quality standards, architecture, and data governance. In most organizations the two roles are separate but tightly interdependent. When both roles are needed, hiring the CDO first usually makes sense, because the data foundation must be in place before AI strategy can be executed reliably.
How can a company assess a Chief AI Officer candidate's technical depth without internal ML expertise?
A structured technical session run with senior engineers or external advisors fills that gap. The session should focus on how candidates reason about architecture decisions, model evaluation, and AI governance under real conditions, more than on what facts they can recall.
What are the most common reasons Chief AI Officer hires fail in the first year?
Common reasons Chief AI Officer appointments struggle include an unclear mandate, reporting structures that create overlapping responsibilities, and compensation that becomes less competitive as the market evolves.
Starting a Head of AI or Chief AI Officer Search with Christian & Timbers
Christian & Timbers offers executive search focused on AI leadership, supported by active relationships in the candidate market and a process designed around role definition and structured assessment.
Each engagement begins with a calibration conversation that settles the mandate before sourcing starts. Organizations planning a Head of AI or Chief AI Officer search can reach the team at hello@christian-timbers.com.