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Ai Officer Jobs (NOW HIRING)

Kokosing

Chief Data and AI Officer

Westerville, OH · On-site

We are seeking a results-driven Chief Data and AI Officer (CDAIO) to lead digital transformation, artificial intelligence (AI), and data innovation across a growing construction organization.

Kokosing

Chief Data and AI Officer

Westerville, OH · On-site

We are seeking a results-driven Chief Data and AI Officer (CDAIO) to lead digital transformation, artificial intelligence (AI), and data innovation across a growing construction organization.

Mintex Technology

Founding AI Engineer

Philadelphia, PA · On-site

$180K/yr

The team includes a Chief AI Officer, seven engineers (two AI/ML engineers and five full-stack engineers), and a founding team working directly alongside customers to build and refine the platform.

Labcorp

Executive Director, Enterprise AI

Durham, NC · On-site

Chief AI Officer | Travel: 40-50% Job Responsibilities: * Lead the enterprise AI portfolio, demand management, prioritization, and investment planning, maintaining a single source of truth for AI ...

Labcorp

Executive Director, Enterprise AI

Durham, NC · Hybrid

Chief AI Officer | Travel: 40-50% Job Responsibilities: * Lead the enterprise AI portfolio, demand management, prioritization, and investment planning, maintaining a single source of truth for AI ...

Worth AI

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97K - $134K/yr

You'll own agents end-to-end architecture, retrieval, tools, evals, and production deployment and partner closely with our Chief AI Officer, applied scientists, and platform teams. Responsibilities

Worth AI

Senior Agentic (AI) Engineer

Miami, FL · Remote

$107K - $146K/yr

You'll own agents end-to-end architecture, retrieval, tools, evals, and production deployment and partner closely with our Chief AI Officer, applied scientists, and platform teams. Responsibilities

Worth AI

Senior Agentic (AI) Engineer

Miami, FL · On-site +1

$99K - $137K/yr

You'll own agents end-to-end architecture, retrieval, tools, evals, and production deployment and partner closely with our Chief AI Officer, applied scientists, and platform teams. Responsibilities

Worth AI

Senior Agentic (AI) Engineer

Orlando, FL · Remote

$107K - $146K/yr

You'll own agents end-to-end architecture, retrieval, tools, evals, and production deployment and partner closely with our Chief AI Officer, applied scientists, and platform teams. Responsibilities

Worth AI

Senior Agentic (AI) Engineer

Tampa, FL · Remote

$107K - $146K/yr

You'll own agents end-to-end architecture, retrieval, tools, evals, and production deployment and partner closely with our Chief AI Officer, applied scientists, and platform teams. Responsibilities

Worth AI

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97K - $134K/yr

You'll own agents end-to-end architecture, retrieval, tools, evals, and production deployment and partner closely with our Chief AI Officer, applied scientists, and platform teams. Responsibilities

Worth AI

Senior Agentic (AI) Engineer

Atlanta, GA · Remote

$107K - $146K/yr

You'll own agents end-to-end architecture, retrieval, tools, evals, and production deployment and partner closely with our Chief AI Officer, applied scientists, and platform teams. Responsibilities

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Ai Officer information

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$23.5K

$75.9K

$182.5K

How much do ai officer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for ai officer in the United States is $75,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $98,500.00 per year, depending on experience, location, and employer.

How does an AI Officer typically collaborate with cross-functional teams within an organization?

AI Officers often work closely with cross-functional teams such as data scientists, IT specialists, product managers, and business leaders to identify opportunities for AI implementation. They play a key role in translating business objectives into technical AI solutions and ensuring that projects align with organizational goals. Regular communication and collaboration are essential, as AI Officers must bridge the gap between technical and non-technical stakeholders to drive successful AI initiatives.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI executive, lead researcher, or specialized engineer, often requiring advanced skills in machine learning, deep learning, and data analysis. These roles usually involve significant responsibility, expertise, and experience, and may include bonuses or stock options that contribute to the total compensation. Such salaries are rare and generally found in large tech companies or startups with substantial funding.

What are AI Officers?

AI Officers are professionals responsible for overseeing the development, implementation, and ethical management of artificial intelligence technologies within an organization. They guide AI strategy, ensure compliance with regulations, and collaborate with different departments to integrate AI solutions effectively. Their role often includes evaluating AI risks, promoting responsible AI use, and aligning AI initiatives with business goals. AI Officers typically have a background in technology, data science, and policy, making them key players in leveraging AI for organizational success.

What is the difference between Ai Officer vs Data Analyst?

AspectAi OfficerData Analyst
Required CredentialsDegree in AI, Computer Science, or related field; certifications in AI/MLDegree in Data Science, Statistics, or related field; certifications in data analysis
Work EnvironmentTech companies, R&D labs, AI-focused departmentsBusiness, finance, marketing, and healthcare sectors
Employer & Industry UsageOrganizations developing AI solutions, tech firmsOrganizations analyzing data to inform decisions across industries

The main difference is that an Ai Officer focuses on developing and implementing AI technologies, while a Data Analyst interprets data to support business decisions. Both roles require analytical skills, but Ai Officers typically have specialized knowledge in AI/ML algorithms and programming, working more on the technical development side. Data Analysts often focus on data visualization and reporting to help organizations understand trends and insights.

How to become an AI officer?

To become an AI officer, candidates typically need a bachelor's degree in computer science, data science, or a related field, with many roles requiring a master's or Ph.D. in artificial intelligence, machine learning, or a similar area. Developing skills in programming languages like Python, experience with AI frameworks, and knowledge of data analysis are essential. Relevant certifications and hands-on experience with AI projects can also improve job prospects.

What is the salary of an AI officer?

The salary of an AI officer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and the size of the organization. Senior AI officers or those with specialized skills in machine learning and data analysis may earn higher salaries. Compensation often includes benefits such as bonuses, stock options, and professional development opportunities.

What does an AI officer do?

An AI officer is responsible for developing, implementing, and managing artificial intelligence strategies within an organization. They analyze data, oversee AI projects, and ensure ethical and effective use of AI technologies, often requiring knowledge of machine learning, data analysis, and programming tools. Their role supports innovation and operational efficiency through AI solutions.

What are the key skills and qualifications needed to thrive as an AI Officer, and why are they important?

To thrive as an AI Officer, you need a solid understanding of artificial intelligence, data analysis, and machine learning, typically supported by a degree in computer science, engineering, or a related field. Familiarity with AI frameworks (like TensorFlow or PyTorch), programming languages (such as Python), and relevant certifications (e.g., AI or data science certifications) is highly valued. Strong problem-solving, communication, and project management skills set exceptional candidates apart in this role. These competencies are crucial for effectively developing, implementing, and overseeing AI strategies that align with organizational goals.
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Ai Officer jobs near you
Infographic showing various Ai Officer job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $75,929 per year, or $36.5 per hour.

Fractional Chief AI Officer (CAIO) - Higher Education & EdTech

Talentus Global

Charleston, WV • Remote

Part-time

Posted 4 days ago

Job description

At Talentus Global, we are looking for you!
 
We are a U.S. company with a strong presence in LATAM and across 20+ countries around the world. Some of our key near-shore BPO services include: smart-sourcing, dedicated or cluster teams, managed IT services, software outsourcing, and top ERP & CRM solutions—driven by our practices across many industries, including Higher Education.
 
We are currently looking for a Fractional Chief AI Officer (CAIO) - Higher Education & EdTech, to become a valuable addition to our dynamic team! 
 
About the Role

We are seeking a Fractional Chief AI Officer (CAIO) with deep expertise in the Higher Education and EdTech ecosystem to provide strategic technology leadership to universities, colleges, and education-focused organizations.

This role is designed for a senior executive who thrives in advisory, transformation, and execution environments, helping institutions modernize their technology stack, optimize operations, and drive digital innovation through proven AI solutions and models from strategy to governance. 

We are seeking an experienced Fractional Chief AI Officer (CAIO) to lead the AI strategy, governance, and transformation initiatives for colleges, universities, and EdTech organizations.

The ideal candidate combines deep expertise in Artificial Intelligence, Higher Education technology ecosystems, enterprise architecture, and executive leadership with a proven ability to translate AI capabilities into measurable institutional outcomes.

This executive will work directly with Presidents, CIOs, Provosts, CTOs, Enrollment leaders, and Executive Boards to develop and execute AI strategies that improve student success, operational efficiency, enrollment growth, and institutional innovation.

This is a strategic advisory and hands-on leadership role designed for organizations that require executive AI leadership.

Key Responsibilities:Executive AI Strategy
  • Develop enterprise AI strategies aligned with institutional goals.
  • Create multi-year AI transformation roadmaps.
  • Identify high-value AI use cases across academic and administrative departments.
  • Present AI initiatives to Executive Leadership and Board members.
  • Establish AI Centers of Excellence (AI CoE).
  • Lead digital transformation initiatives across academic and administrative functions, incorporating cloud solutions, advanced data analytics, AI applications, and emerging technologies.
  • Lead change management initiatives to drive adoption of new technologies across student, faculty, staff, and leadership through the adoption of AI. 
  • Identify opportunities for operational efficiency, scalability, and cost optimization through AI driven initiatives.
  • Support broader consulting initiatives including digital transformation, EdTech optimization, and institutional modernization.
Education & Experience
  • Proven experience driving AI at various Universities & Colleges with measurable value and ROI. 

  • 15+ years of progressive IT leadership experience, exclusively within Higher Education and/or EdTech.

  • 10+ years of experience at a private-for-profit, private-non-profit or public University.
  • Master’s degree in information technology, Computer Science, Business Administration, or a related field required; a Doctorate is preferred.

  • Proven experience as a CIO, CTO or CAIO roles.

  • Strong experience with digitalization within Higher Education, including marketing automation, CRM-driven campaigns, and enrollment funnel optimization. Deep understanding of the student lifecycle, enrollment management, and academic operations.

  • Demonstrated experience leading enterprise-wide implementations and integrations of SIS, LMS, CRM & ERP platforms.

  • Strong experience with the following technologies:

    • SIS: Ellucian Banner, Anthology Student, PeopleSoft, Jenzabar, Thesis Elements

    • LMS: D2L, Canvas, Blackboard, Sakai, Moodle, OpenLMS

    • CRM: Salesforce, Slate, Elements451, Microsoft Dynamics, HubSpot.

  • Track record of driving data governance, analytics, and decision-support systems in higher education contexts.
  • Track record of implementing AI strategies across the institution with measurable results.
 Leadership & Competencies

  • Strong executive presence with the ability to influence C-level stakeholders.

  • Ability to operate effectively in fractional, multi-client environments.

  • Excellent communication skills across technical and non-technical audiences.

  • High adaptability in fast-paced, evolving organizations.

  • Results-oriented with a focus on impact, efficiency, and innovation.

  • Collaborative leadership style with strong stakeholder management skills.

  • Bilingual (English/Spanish): preferred but not required.

  • Represent the organization in client engagements and industry events (travel required).
What do we offer?
  •  Contractor model 
  •  Remote model
  •  Salary in $USD 
  •  Day off for birthdays  
  • Benefits courses and/or certifications 
  • Opportunity to work with top-tier U.S. clients.
  • Entrepreneurial, multicultural team culture.
 
 
Join us if you have what it takes to be part of the Talentus Global Team!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.