Contact Us
doit software clutch reviews
doit software goodfirms reviews
featured customers doit software
upcity doit software

DOIT Engagement Models for Chief AI Officers

Hire a contract-based Fractional CAIO through DOIT’s staffing model for flexible, part-time leadership. 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. This option provides strategic oversight or support on demand, without long-term commitments or full-time costs.

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 transformation leadership

Meet Top Fractional Chief AI Officers for Hire (Contract)

$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 transformation into reality 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 candidates 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.

Request CVs
Availability:

Part-time (20 hrs/week)

Request CVs
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.

Request CVs
Availability:

Full-time

Request CVs
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).

Request CVs
Availability:

Part-time (20 hrs/week)

Request CVs
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.

Request CVs
Availability:

Full-time

Request CVs
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.

Request CVs
Availability:

Full-time

Request CVs
6

Nazarii

Director of AI

Lviv, Ukraine

Availability:

Full-time

Enthusiastic Director of AI focused on practical GenAI adoption across product and operations. Over the past two years, worked on internal AI strategy for a fast-scaling SaaS company. Collaborated with department heads to identify high-impact automation opportunities and integrate LLMs into workflows.

Experienced in defining evaluation criteria for GenAI vendors and standardization of AI usage policies. Facilitated and prepared internal training sessions on adopted tools.

Request CVs
Availability:

Full-time

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

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

Many companies experiment with AI tools but lack a clear strategy for scaling these efforts. A Chief Artificial Intelligence Officer connects AI initiatives directly to your business goals.

With practical knowledge of up-to-date model classes such as LLMs, forecasting, classification, and recommendation systems, a CAIO helps you identify what will work for your workflows. They evaluate AI use cases for feasibility based on your internal data and define measurable outcomes.

AI governance

Most companies that integrate AI into their workflows eventually face challenges related to decision transparency or regulatory compliance. As initiatives grow, so does the need for structured AI governance. A Chief AI Officer, in turn, can set up a unified system of who approves model launches, how to review data, who signs off on experiments, and how incident reporting works.

They understand the latest regulations (GDPR, 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

AI efforts often remain siloed within isolated teams. Without C-level leadership, they rarely scale into true transformation. A Chief AI Officer closes the gap between technical potential and operational reality.

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

Collaborate with a Chief AI Officer from the DOIT network to evaluate AI automation opportunities across all business functions.

 

A CAIO will analyze internal workflows, find high-impact use cases, and design automation solutions that reduce manual effort.

Develop and execute an AI strategy

Hire a Chief AI Officer to own your AI strategy roadmap and align it with business needs.

 

They will define KPIs for AI initiatives and oversee their R&D, deployment, and ongoing monitoring to ensure long-term maintainability.

Build and lead an AI team

Work with an experienced Chief AI Officer to build and mentor high-performing teams across AI, research, data, and technology.

 

A CAIO can also run workshops and onboarding sessions to upskill non-AI teams in its usage and promote internal knowledge transfer.

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

Ensure AI models are ethical, unbiased, and aligned with security and government standards.

 

A CAIO will review model behavior, set internal guidelines and AI policies, and work with legal and compliance teams to keep AI practices accountable.

Coordinate departments on AI execution

Find a skilled Chief AI Officer who will collaborate with company leadership, including CTO, CEO, CIO, and other critical roles, to integrate AI models into workflows and production systems.

 

A CAIO will help oversee resource allocation and ensure strategic alignment across the organization.

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

Hire a Chief AI Officer in 4 Steps

1

Talk to hiring experts

2

Get matched

3

Meet top talent

4

Hire the right fit

1

Talk to hiring experts

Reach out to the DOIT hiring team with role expectations, required experience, industry background, timezone, location, and any other role specifications. A DOIT consultant will schedule a call to understand your Chief AI Officer responsibilities better and define the required AI leadership scope.
2

Get matched

Based on your requirements, DOIT’s team will filter its pre-vetted executive talent pool. Talent matchers will shortlist the most relevant CAIOs based on their experience with AI strategy, regulatory knowledge, leadership capacity, and English fluency. You’ll receive qualified CVs and choose who to meet for interviews.
3

Meet top talent

DOIT's team will arrange the interviews and support you through each step of the evaluation and decision-making process. Based on your needs, the recruitment team will help you conduct additional tests and keep candidates engaged until you make the final approval.
4

Hire the right fit

Once you’ve selected your CAIO, DOIT will help prepare the contract and handle legal and onboarding tasks. After hiring, you get ongoing support for HR and admin operations, retention activities, performance check-ins, and optional coverage for replacement if needed.

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 5% of CAIOs?

Technical AI expertise

Every Chief AI Officer candidate undergoes a set of interviews led by senior tech specialists at DOIT. The team verifies their proficiency with LLMs (OpenAI, Mistral, Anthropic, Llama, etc.), LangChain, RAG pipelines, prompt engineering, and vector databases (e.g., Pinecone, Weaviate, Pgvector).

CAIOs must show their ability to design, scale, and maintain working AI systems within production ML/AI stacks.

Executive communication skills

As Chief AI Officers collaborate with C-level executives and cross-functional teams, strong communication is essential. DOIT verifies that every candidate has at least a B2 (Upper-Intermediate) level of English in both speaking and writing.

During interviews, we assess how candidates structure complex AI topics for a non-technical audience.

Leadership checks and cultural fit

DOIT checks every CAIO for a proven leadership track record and mentoring experience. Recruiters conduct interviews to check whether candidates match your company's structure and management style.

DOIT assesses their interpersonal, analytical, and organizational strengths, as well as their approach to building strategic support for long-term AI integration into business workflows.

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 role that sets the direction for AI adoption and ensures it aligns with business goals. They manage AI strategy, oversee system implementation, evaluate tools and vendors, identify automation opportunities, and establish AI governance and ethics to support scalable and compliant AI operations.

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.

Do companies need a chief AI officer?

Not every company requires a full-time Chief AI Officer, but the role becomes essential when AI initiatives scale across departments or begin to influence core operations. In these cases, a CAIO brings strategic oversight and ensures compliance with evolving regulations.

Suppose you're not ready to commit to a dedicated executive but want to expand AI adoption. In that case, you can consider engaging a fractional Chief AI Officer who can provide strategic direction without the full-time cost.

What skills should I look for in a CAIO?

Every Chief AI Officer must demonstrate a strategic mindset, analytical skills, strong stakeholder management, and the ability to align AI initiatives with business goals. The candidate should have proven experience in AI transformation and working with governance frameworks.

If you're hiring a CAIO with a technical background, evaluate hands-on experience with LLMs, AI/ML infrastructure, vector databases, orchestration tools, and deployment of production-level AI systems. For highly regulated industries, prioritize candidates with a track record of managing compliance and ethical AI standards.

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

After hiring a contract-based Chief AI Officer through DOIT, you get ongoing support that covers HR, legal, and administrative needs. The DOIT team assists with payroll, taxes, contract management, and retention activities tailored to your specific needs.

What is the role of a chief AI officer?

A Chief AI Officer (CAIO) is a C-level executive role that sets the direction for AI adoption and ensures it aligns with business goals. They manage AI strategy, oversee system implementation, evaluate tools and vendors, identify automation opportunities, and establish AI governance and ethics to support scalable and compliant AI operations.

Do companies need a chief AI officer?

Not every company requires a full-time Chief AI Officer, but the role becomes essential when AI initiatives scale across departments or begin to influence core operations. In these cases, a CAIO brings strategic oversight and ensures compliance with evolving regulations.

Suppose you're not ready to commit to a dedicated executive but want to expand AI adoption. In that case, you can consider engaging a fractional Chief AI Officer who can provide strategic direction without the full-time cost.

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?

Every Chief AI Officer must demonstrate a strategic mindset, analytical skills, strong stakeholder management, and the ability to align AI initiatives with business goals. The candidate should have proven experience in AI transformation and working with governance frameworks.

If you're hiring a CAIO with a technical background, evaluate hands-on experience with LLMs, AI/ML infrastructure, vector databases, orchestration tools, and deployment of production-level AI systems. For highly regulated industries, prioritize candidates with a track record of managing 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 hiring a contract-based Chief AI Officer through DOIT, you get ongoing support that covers HR, legal, and administrative needs. The DOIT team assists with payroll, taxes, contract management, and retention activities tailored to your specific needs.
Hire talent
Ready to hire a top Chief AI Officer?

Let’s discuss your AI leadership needs.

    Terms & Conditions and Privacy Policy.