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Full Time Chief Artificial Intelligence Officer Jobs

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$33K

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$200.5K

How much do full time chief artificial intelligence officer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for full time chief artificial intelligence officer in the United States is $124,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $146,000.00 per year, depending on experience, location, and employer.

What is a chief artificial intelligence officer?

Chief Artificial Intelligence Officers (CAIOs) are senior executives responsible for overseeing and guiding an organization's artificial intelligence strategies and initiatives. They ensure that AI technologies are aligned with the company's overall business goals, manage AI teams, and promote ethical AI practices. CAIOs also collaborate with other departments to integrate AI solutions, drive innovation, and maintain a competitive edge in the rapidly evolving AI landscape.

How does a chief artificial intelligence officer typically collaborate with other departments to drive AI initiatives within an organization?

A Chief Artificial Intelligence Officer (CAIO) works closely with leaders across departments such as IT, data science, product development, and operations to align AI strategies with business goals. They often facilitate cross-functional teams to identify opportunities for AI integration, oversee pilot projects, and ensure ethical standards are maintained. Regular communication with stakeholders is essential to address challenges, manage expectations, and measure the impact of AI solutions. This collaborative approach helps ensure that AI initiatives are both technically sound and aligned with organizational needs.

What are the key skills and qualifications needed to thrive as a full time chief artificial intelligence officer, and why are they important?

To thrive as a Full Time Chief Artificial Intelligence Officer, you need deep expertise in AI, machine learning, data science, and a strong background in computer science or a related field, often supported by advanced degrees. Familiarity with AI development frameworks (such as TensorFlow or PyTorch), cloud platforms, and certifications in AI or data analytics is typically required. Exceptional leadership, strategic vision, and communication skills set top candidates apart in guiding teams and aligning AI initiatives with business goals. These skills and qualities are crucial for driving innovation, ensuring ethical AI deployment, and maintaining a competitive edge within the organization.

What is the difference between Full Time Chief Artificial Intelligence Officer vs Data Scientist?

AspectFull Time Chief Artificial Intelligence OfficerData Scientist
CredentialsAdvanced degrees in AI, Computer Science, or related fields; leadership experienceDegree in Data Science, Statistics, Computer Science, or related fields
Work EnvironmentExecutive leadership, strategic planning, cross-department collaborationData analysis, model development, data visualization in teams
Industry UsageUsed in large corporations, tech firms, and organizations with AI-driven strategies

The Full Time Chief Artificial Intelligence Officer focuses on strategic AI leadership, overseeing AI initiatives at an organizational level, while Data Scientists primarily analyze data, develop models, and support AI projects through technical expertise. Both roles require strong technical backgrounds, but the CIO role emphasizes leadership and strategy, whereas Data Scientists focus on hands-on data work.

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Full Time Chief Artificial Intelligence Officer jobs near you
Infographic showing various Full Time Chief Artificial Intelligence Officer job openings in the United States as of August 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $124,409 per year, or $59.8 per hour.

Chief Artifical Intelligence Officer (CAIO)

City National Bank of Florida

Coral Gables, FL • On-site

Full-time

Re-posted 7 days ago

Job description

Overview
The Chief Artificial Intelligence Officer (CAIO) is responsible for defining and executing the Bank's enterprise artificial intelligence strategy to drive operational efficiency, enhance risk management, and improve client experience.
This role operates as a core member of the leadership team, directly supporting the Chief Operations Officer in transforming the Bank's operating model through the disciplined adoption of artificial intelligence, advanced analytics, and intelligent automation.
The CAIO is accountable for translating AI capabilities into measurable business outcomes by embedding AI into core workflows, decision-making processes, and customer interactions, while ensuring appropriate governance, control, and regulatory alignment within a highly regulated banking environment.
What You'll Do:
Enterprise AI Strategy and Execution
  • Define and lead the Bank's AI strategy aligned with business priorities, growth objectives, and operational efficiency goals
  • Translate strategy into a prioritized portfolio of initiatives with clear business cases and measurable ROI
  • Drive enterprise-wide adoption of AI across operations, credit, risk, fraud, compliance, and client-facing functions
  • Establish clear success metrics tied to productivity, cost reduction, revenue enhancement, and risk mitigation

Operating Model Transformation
  • Redesign core business processes to incorporate AI-driven decisioning and automation
  • Lead the development and deployment of AI-enabled workflows and digital agents across the enterprise
  • Identify and eliminate manual, repetitive tasks through automation and intelligent process redesign
  • Partner with business leaders to embed AI into day-to-day operations

AI Platform and Infrastructure
  • Define the Bank's AI and data architecture strategy in partnership with Technology
  • Oversee the development and deployment of scalable AI platforms, tools, and environments
  • Establish standards for model development, testing, deployment, and monitoring
  • Ensure seamless integration of AI capabilities into existing systems and workflows

Governance, Risk, and Control
  • Establish and maintain an enterprise AI governance framework, including policies, standards, and controls
  • Ensure all AI use cases comply with regulatory expectations and internal risk management standards
  • Partner with Risk, Compliance, and Legal to address model risk, data usage, and decision transparency
  • Implement controls to manage bias, explainability, data quality, and output reliability

Business Use Case Delivery
  • Identify high-impact AI opportunities and lead end-to-end execution from concept through deployment
  • Prioritize initiatives based on financial impact, feasibility, and risk considerations
  • Partner closely with business units to ensure adoption and sustained utilization
  • Track and report realized value from AI initiatives

Data and Decision Intelligence
  • Ensure AI initiatives are supported by high-quality, well-governed data
  • Promote the use of advanced analytics to enhance decision-making across the Bank
  • Partner with data and technology teams to improve access, usability, and reliability of data assets

Talent and Capability Development
  • Build and lead a high-performing AI organization, including data science, engineering, and AI product management
  • Develop enterprise-wide AI literacy to enable adoption across all levels of the organization
  • Attract, develop, and retain specialized talent in AI and advanced analytics
  • Foster a culture of innovation with strong execution discipline

Executive Alignment and Reporting
  • Provide regular updates to the Chief Operating Officer and executive team on AI initiatives, performance, and risks
  • Support executive-level and Board reporting through the COO as required
  • Align AI investments and initiatives with overall enterprise priorities and resource planning

Qualifications
  • 10+ years in technology , data, AI, or analytics leadership roles required.
  • Deep expertise in artificial intelligence, machine learning, and automation technologies
  • Strong business acumen with ability to link AI initiatives to financial outcomes
  • Experience scaling AI solutions across complex organizations
  • Understanding of AI governance, model risk, and regulatory considerations
  • Executive-level communication and stakeholder management skills
  • Ability to operate at both strategic and execution levels
  • Enterprise level experience including managing and successfully delivering cross functional initiatives.
  • Experience in leading projects and multi-tasking with diverse groups and locations.
  • Demonstrable experience in implementing strategic plans and managing programs.
  • Exceptional and proven leadership capabilities - communication, influence & negotiation, conflict resolution, people management, relationship management (internal/external), and team building.
  • Proven ability to successfully partner with internal clients and vendors to align strategy with deliverables, identify business challenges and develop alternatives to mitigate.
  • Strong service management and service delivery orientation.
  • Excellent written, oral, and interpersonal communication skills.
  • Ability to present ideas in at appropriate levels for different audiences.
  • Proven ability to work within a changing environment and lead the implementation of change.
  • Ability to apply change management principles to initiatives of variable sizes and degrees of complexities.
  • Ability to assess the impact or potential impact of change management initiatives of various sizes and degrees of complexities on business financial and performance.
  • Advanced level of creativity, strategic thinking and problem management skills.
  • Ability to conduct and direct research into information security issues.
  • Self-motivated, self-directed, attentive to detail, and able to multi-task.
  • Ability to effectively prioritize and execute tasks in a high-pressure environment.

Education
  • Bachelor's Degree in computer science, data science, engineering, applied mathematics/statistics, information systems, or a related quantitative field (or equivalent combination of education and experience).
  • Master's Degree preferred.

Special Instructions to Candidates
Equal Opportunity
City National Bank of Florida is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, protected veteran status, or any status protected by federal, state, or Florida law. We comply with the ADA and applicable Florida laws.
Interview Guidelines
To ensure a fair interview process, the use of AI wearables, AT tools, AI applications, or other external assistance is strickly prohibited.
Accommodations
If you require a reasonable accommodation to apply or participate in the hiring process, please contact our Talent Attraction team at talent.attraction@citynational.com

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