DOIT Engagement Models for Chief AI Officers

Hire a contract-based fractional CAIO when you need senior AI leadership on demand. Or use a direct recruitment service to bring in a full-time in-house CAIO for your organization.

Contract-based fractional CAIO

Hire a Chief AI Officer on a part-time, contract basis with flexible hours and scope. You get strategic oversight and hands-on support on demand, with no long-term commitment and no full-time cost.

Commitment: 20+ hrs/week
Pricing model: biweekly/monthly rates
Best for: cost-effective leadership on demand

In-house full-time CAIO

Bring in a full-time AI transformation leader as an in-house executive. DOIT Software supports direct placement via dedicated recruitment for executive roles in the USA, Canada, the UK, and the EU.

Commitment: 40 hrs/week
Pricing model: one-time fee of the hire’s salary
Best for: long-term AI leadership

Meet Top Chief AI Officers and Heads of AI for Hire

$0 recruitment costs

pay only the rates of the CAIO you hire

Talent guarantee

with a free replacement during cooperation

Ongoing support

for legal, payroll, HR,
and admin management

Bring your AI plans to life with a global network of skilled Chief AI Officers and Heads of AI across 12+ time zones. Share your requirements and get matched with 1-3 relevant profiles risk-free.

1

Ryan

Chief AI Officer

Fortaleza, Brazil

Availability:

Part-time (20 hrs/week)

Tech stack: LangChain, DSPy, Hugging Face, Pinecone, DeepLake, Fiddler, Vertex AI, Azure ML, TensorBoard, FastAPI, Airflow, Notion AI

AI executive with over a decade of experience leading data science and ML teams across global agencies. Built cross-practice LLM tooling to unify data pipelines across media and content units. Standardized ethical AI development processes and delivered playbooks for generative content evaluation.

Partnered with C-level and external vendors to assess ROI of AI use cases and define roadmap governance. Regularly leads executive education sessions on AI adoption and risk.

Availability:

Part-time (20 hrs/week)

2

Dawid

Head of AI

Wrocław, Poland

Availability:

Full-time

Tech stack: Python, PyTorch, TensorFlow, Hugging Face, LangChain, OpenAI, RAG, FastAPI, PostgreSQL, Docker, Kubernetes, Azure, MLflow, AWS, Airflow

Head of AI with 12 years of experience in a CTO position leading software engineering teams in healthcare. Holds an advanced degree in Computer Science and a strong track record in Python-based ML development and solution architecture.

Has worked as Head of AI for the past 3 years, leading multiple initiatives focused on improving clinical decision support. Deployed custom GPT-based solutions and experienced in using RAG pipelines and domain-specific embeddings to enhance retrieval quality.

Availability:

Full-time

3

Martin

Chief AI Officer

Cordoba, Argentina

Availability:

Part-time (20 hrs/week)

Tech stack: OpenAI API, Claude, Pinecone, LangChain, FastAPI, Next.js, Redis, PostgreSQL, AWS, Segment, BigQuery, Docker, Airflow, TypeScript

Chief AI Officer with 10 years in AdTech and performance marketing system optimization. Has a strong background in overseeing AI adoption across targeting and media optimization layers. Skilled in the rollout of GPT-based creative testing tools and LLM agents development to generate and A/B test ad variants in real time.

Has experience integrating AI outputs with programmatic buying platforms and internal analytics workflows (BigQuery, Segment).

Availability:

Part-time (20 hrs/week)

4

George

Chief AI Officer / Head of AI Automation

Tulsa, OK, United States

Availability:

Full-time

Tech stack: Python, SQL, Airflow, dbt, Snowflake, BigQuery, Looker, Metabase, Vertex AI, SageMaker, Azure ML, MLflow, TensorFlow, PyTorch, Docker, Evidently AI, Great Expectations

AI executive with 8 years of experience in applied ML and data science. Previously led AI initiatives focused on analytics automation. Can build MLOps pipelines with MLflow and Airflow to automate training and deployment cycles and set up performance monitoring and drift detection. Skilled in integrating predictive models with BI tools and working with multi-cloud deployments.

Availability:

Full-time

5

Andrii

Chief AI Officer

Brno, Czechia

Availability:

Full-time

Tech stack: PyTorch, TensorFlow, OpenCV, YOLOv8, DeepStream, Jetson, ONNX, Airflow, FastAPI, MLflow, Weights & Biases, Azure GovCloud, AWS GovCloud

Defense-focused AI executive with a background in applied machine learning and computer vision. Started as a computer vision researcher and spent the last 3 years leading AI teams in UAV navigation and threat detection projects.

Built object tracking systems for edge deployment on drones and autonomous vehicles. Guides the adoption of GenAI and LLMs for report generation and secure knowledge retrieval in the field and classified contexts. Aligns AI system design with defense compliance and ethical standards.

Availability:

Full-time

6

Nazarii

Director of AI

Lviv, Ukraine

Availability:

Full-time

Tech stack: OpenAI, Claude Code, Claude Cowork, n8n, LangChain, Hugging Face, Python, Snowflake, Looker, Notion AI

A Director of AI focused on practical GenAI adoption across product and operations. Spent the past two years owning internal AI strategy for a fast-scaling SaaS company. Works with department heads to find high-impact automation opportunities and integrate LLMs into daily workflows. Defines evaluation criteria for GenAI vendors and sets company-wide AI usage policies. Runs internal training sessions that get teams comfortable with new tools.

Availability:

Full-time

Discover more fractional Chief AI Officers from the US, Europe, and LATAM at $0 recruitment cost

Why Hire a Chief AI Officer for Your Business

01

AI strategy development

02

AI governance

03

AI transformation leadership

04

AI research and deployment

AI strategy development

AI tools are easy to start with, but harder to turn into a clear strategy. A Chief AI Officer connects your AI work directly to your business goals. They know the current types of AI, like large language models, forecasting, classification, and recommendation systems, and help you decide what will actually work for your business. They check which ideas are realistic based on your own data and set targets you can measure.

AI governance

As AI grows inside a business, so does the need for clear rules around it. A Chief AI Officer sets up one system for who approves new AI tools, how you review data, who signs off on experiments, and how you report problems.

They understand the latest regulations (GDPR, EU AI Act, HIPAA) and bring deep expertise in AI auditability. Therefore, with a Head of Artificial Intelligence in the team, you can build AI compliance early from the development stage.

AI transformation leadership

A Chief AI Officer gives your AI work one clear owner so it reaches the whole business. They close the gap between what AI can do and how your company actually runs.

They can identify which processes are suitable for automation and help non-technical teams adapt to working with AI. Instead of scattered experiments, a CAIO helps structure AI work into cross-functional initiatives with defined roles and processes.

AI research and deployment

Many AI projects stall at proof-of-concept or prototype stages. Going live requires a comprehensive set of research, production engineering, and tight coordination. CAIOs can manage the complete ML cycle: from problem definition and algorithm selection to CI/CD, model monitoring, and rollback plans.

They possess practical knowledge of various tools, including Kubeflow, MLflow, LangChain, and vector databases, and can effectively connect research and engineering teams to deliver controlled, production-ready deployments.

What a DOIT-Sourced Chief AI Officer Can Do

Identify AI automation opportunities across operations

Work with a Chief AI Officer from the DOIT network to spot automation opportunities across every business function.

 

Your CAIO studies internal workflows and designs the automation with the biggest payoff for the least manual effort.

Develop and execute an AI strategy

Your CAIO owns the AI roadmap and aligns it with business needs.

 

They set KPIs for each initiative and keep it on track through deployment and monitoring.

Build and lead an AI team

Bring in a leader who builds and mentors high-performing teams across AI, research, data, and engineering.

 

Your CAIO also runs workshops and onboarding that upskill non-AI teams and spread knowledge internally.

Evaluate tools and vendors

Hire a Chief AI Officer through DOIT to evaluate and implement AI solutions and define the best-fit model architecture.

 

A CAIO will test platforms, compare vendor offerings, and build a partnership ecosystem that supports long-term AI initiatives.

Manage ethical and secure AI adoption

Keep your AI models fair and aligned with security and government standards.

 

Your CAIO reviews model behavior and works with legal and compliance teams to keep every AI practice accountable.

Coordinate departments on AI execution

Bring in a leader who works with your CTO, CEO, CIO, and other executives to put AI to work in your everyday systems.

 

Your CAIO guides resource allocation and keeps every team aligned on the same AI goals.

Need to strengthen your AI initiatives with a vetted CAIO?
Share your requirements and receive relevant CVs tailored to your needs.

Hire a Chief AI Officer in 4 Steps

1

Talk to hiring experts

Reach out to the DOIT hiring team with your role expectations, required experience, industry, timezone, location, and any other specifics. The DOIT team schedules a call to understand your Chief AI Officer needs and define the AI leadership scope.
2

Get matched

Based on your requirements, DOIT filters its pre-vetted executive talent pool. The DOIT team shortlists the CAIOs whose experience in AI strategy and governance fits your role best, and you receive qualified CVs to review.
3

Meet top talent

DOIT arranges the interviews and supports you through every step of evaluation. The recruitment team helps you run additional tests and keeps candidates engaged until you make the final call.
4

Hire the right fit

Once you choose your CAIO, DOIT prepares the contract and handles legal and onboarding tasks. After hiring, you get ongoing support for HR and admin, retention activities, performance check-ins, and optional replacement coverage.

Why Hire a Chief AI Officer through DOIT

Specialized vetting of tech executives
Backed by 10+ years of experience in hiring tech specialists at all levels, including executive roles, DOIT applies a multi-step evaluation process to every Chief AI Officer search. Senior tech experts assess their strategic thinking, leadership in AI transformation, and domain-specific achievements to ensure each executive can bring both tech depth and operational credibility to your project.
Industry-specific placement expertise
DOIT combines screening of technical skills with candidates’ understanding of your industry contexts. The staffing team supports companies in healthcare, logistics, retail, e-commerce, manufacturing, and defense tech in hiring Chief AI Officers with proven experience leading AI transformation in their sectors.
Risk-free hiring
DOIT stands behind the quality of every hire. For contract-based engagements, the team provides free replacements at any point during the collaboration if the match doesn’t meet expectations. For direct hires, DOIT offers a 90-day replacement guarantee.

How Does DOIT Vet the Top 1.5% of CAIOs?

Technical AI expertise

Every CAIO passes a multi-step technical screening before reaching your shortlist. DOIT checks real proficiency with LLMs (OpenAI, Mistral, Anthropic, Llama), LangChain, RAG pipelines, prompt engineering, and vector databases (such as Pinecone and Weaviate). Each leader shows the ability to design and maintain working AI systems in production.

Executive communication skills

A Chief AI Officer works with executives and teams across the company every day, so communication carries real weight. DOIT confirms every leader speaks and writes English at B2 (Upper-Intermediate) or higher, and checks how well each one explains complex AI to a non-technical audience.

Leadership checks and cultural fit

DOIT checks every CAIO for a proven leadership record and real mentoring experience. DOIT runs interviews to see whether a candidate matches your structure and management style, and reviews their analytical and organizational strengths along with their approach to long-term AI integration.

What Clients Say About Working with DOIT

Gil Dror

CTO

Human Care Systems

I see DOIT Software as a core part of our team, not just an addition. DOIT Software excels at finding talent to power our projects. The people they find are above and beyond what I'd find from other agencies.
Andrew Amann testimonials

Andrew Amann

VP of Products

Upline Networks

We value their streamlined workflow and technical accuracy. They are great communicators and even better collaborators.
tali bartal testimonials

Tali Bartal

Product Manager

Profitect

They have a very strong commitment to what they do. They have great communication skills. They always send updates in advance, so everything's clear on our end. I'm very happy with their work.

Let's drive AI innovation in your company!

Hire a trusted CAIO with experience across healthcare, retail, agriculture, manufacturing, defense tech, and more.

Talk to hiring experts

FAQs about Chief AI Officers

What is the role of a chief AI officer?

A Chief AI Officer (CAIO) is a C-level executive who sets the direction for AI adoption and keeps it tied to business goals. The role covers AI strategy, system rollout, vendor evaluation, automation opportunities, and AI governance, so AI scales in a compliant and accountable way.

Do we need a CAIO if we already have a CTO or Head of AI?

In most growing companies the roles sit side by side. Your CTO owns technology delivery, while a Chief AI Officer owns AI strategy and drives adoption across departments. A Head of AI often runs the AI function day to day, and a CAIO sets the executive direction that function follows.

What skills should I look for in a CAIO?

Look for a strategic mindset and a track record of aligning AI with business goals. For a technical CAIO, check hands-on experience with LLMs, AI and ML infrastructure, vector databases, and production deployment. In regulated sectors, give weight to leaders who have managed compliance and ethical AI standards.

What ongoing support does DOIT provide after I hire a Chief AI Officer?

After you hire a contract-based Chief AI Officer through DOIT, you get ongoing support that covers HR, legal, payroll, and admin. The DOIT team also takes care of taxes and contract changes, plus retention activities tailored to your needs.

Do companies need a chief AI officer?

Not every company needs a full-time Chief AI Officer, but the role earns its place once AI initiatives scale across departments or start to affect core operations. At that point a CAIO brings executive oversight and keeps you compliant with changing regulation. If you want that direction at a lower cost, a fractional Chief AI Officer gives you the strategy on a part-time basis.

How much does it cost to hire a chief AI officer?

The cost of hiring a Chief AI Officer depends on candidate location, level of responsibility, strategic scope, and whether the role is part-time or full-time. According to Glassdoor, the average annual salary in the US is $349,351, with most roles ranging from $262,000 to $489,000. Typical contract rates, in turn, range from $125 to $235 per hour.

To better understand the cost of hiring a CAIO with the right experience, you can schedule a consultation with the DOIT team. Our experts will analyze your requirements and provide free estimates based on your preferred engagement.

How long does it take to hire a chief AI officer?

Your hiring consultant will work with you to clarify goals and establish a realistic hiring plan. Once you choose a candidate, DOIT supports onboarding and provides a talent guarantee with free replacement if needed.

How does DOIT protect confidential information during a CAIO engagement?

DOIT sets the non-disclosure agreement and confidentiality terms before the engagement starts, so your data and hiring plans stay protected.

What is the role of a chief AI officer?

A Chief AI Officer (CAIO) is a C-level executive who sets the direction for AI adoption and keeps it tied to business goals. The role covers AI strategy, system rollout, vendor evaluation, automation opportunities, and AI governance, so AI scales in a compliant and accountable way.

Do companies need a chief AI officer?

Not every company needs a full-time Chief AI Officer, but the role earns its place once AI initiatives scale across departments or start to affect core operations. At that point a CAIO brings executive oversight and keeps you compliant with changing regulation. If you want that direction at a lower cost, a fractional Chief AI Officer gives you the strategy on a part-time basis.

Do we need a CAIO if we already have a CTO or Head of AI?

In most growing companies the roles sit side by side. Your CTO owns technology delivery, while a Chief AI Officer owns AI strategy and drives adoption across departments. A Head of AI often runs the AI function day to day, and a CAIO sets the executive direction that function follows.

How much does it cost to hire a chief AI officer?

The cost of hiring a Chief AI Officer depends on candidate location, level of responsibility, strategic scope, and whether the role is part-time or full-time. According to Glassdoor, the average annual salary in the US is $349,351, with most roles ranging from $262,000 to $489,000. Typical contract rates, in turn, range from $125 to $235 per hour.

To better understand the cost of hiring a CAIO with the right experience, you can schedule a consultation with the DOIT team. Our experts will analyze your requirements and provide free estimates based on your preferred engagement.

What skills should I look for in a CAIO?

Look for a strategic mindset and a track record of aligning AI with business goals. For a technical CAIO, check hands-on experience with LLMs, AI and ML infrastructure, vector databases, and production deployment. In regulated sectors, give weight to leaders who have managed compliance and ethical AI standards.

How long does it take to hire a chief AI officer?

Your hiring consultant will work with you to clarify goals and establish a realistic hiring plan. Once you choose a candidate, DOIT supports onboarding and provides a talent guarantee with free replacement if needed.

What ongoing support does DOIT provide after I hire a Chief AI Officer?

After you hire a contract-based Chief AI Officer through DOIT, you get ongoing support that covers HR, legal, payroll, and admin. The DOIT team also takes care of taxes and contract changes, plus retention activities tailored to your needs.

How does DOIT protect confidential information during a CAIO engagement?

DOIT sets the non-disclosure agreement and confidentiality terms before the engagement starts, so your data and hiring plans stay protected.
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