Chief AI Officer (CAIO)

TheHiveCareers; United States; Remote; USD 250,000 - 500,000; Full time

Job summary

eBSI Export Academy is seeking a Chief AI Officer (CAIO) to lead the organization’s AI strategy, build enterprise AI capabilities, and drive measurable business outcomes across functions. You will guide AI governance, ethics, and risk management while partnering with CIO/CTO to ensure scalable, compliant AI platforms.

You will champion AI-driven transformation, oversee ML model deployment, and foster an innovation culture.

Qualifications

• Advanced degree and demonstrated leadership in AI/ML initiatives.
• Strong strategic thinking with experience guiding executives.

Responsibilities

• Define and execute enterprise AI strategy aligned with business goals.
• Oversee development, deployment, and scaling of AI/ML models.
• Establish responsible AI frameworks and ethical guidelines.
• Partner with data and technology leaders on data, infrastructure, and platforms.
• Embed AI into core business processes and drive measurable value.
• Explore cutting‑edge AI technologies and foster innovation.
• Build and lead high‑performing AI and data teams.

Skills

AI/ML expertise

Executive communication

Cross-functional leadership

Education

Bachelor's/Master's in CS/AI/DS

PhD preferred

Job description

Job Title: Chief AI Officer (CAIO)

Role Summary

The Chief AI Officer leads the organization's artificial intelligence strategy, driving adoption of AI/ML to enhance decision-making, automate processes, and create new revenue opportunities. This role ensures AI initiatives are scalable, ethical, and aligned with business objectives, while building enterprise-wide AI capabilities.

Key Responsibilities

1. AI Strategy & Vision

• Define and execute enterprise-wide AI strategy aligned with business goals
• Identify high-impact AI use cases across functions (operations, customer experience, risk, marketing)
• Advise executive leadership on AI opportunities, risks, and investments

2. AI/ML Development & Deployment

• Oversee development, deployment, and scaling of AI/ML models
• Ensure productionization of models with MLOps best practices
• Drive adoption of generative AI, predictive analytics, and automation

3. AI Governance & Ethics

• Establish responsible AI frameworks and ethical guidelines
• Ensure compliance with emerging regulations and standards such as EU AI Act and global AI governance principles
• Manage model risk, bias, explainability, and transparency

4. Data & Technology Collaboration

• Partner with Chief Data Officer, CIO, and CTO on data, infrastructure, and platforms
• Ensure availability of high-quality data for AI initiatives
• Align AI strategy with enterprise architecture and technology stack

5. Business Integration & Value Creation

• Embed AI into core business processes and decision-making workflows
• Drive measurable outcomes (revenue growth, cost reduction, efficiency gains)
• Track ROI and performance of AI initiatives

6. Innovation & Emerging Technologies

• Explore and adopt cutting-edge AI technologies (LLMs, computer vision, NLP)
• Foster a culture of experimentation and continuous innovation
• Build partnerships with AI vendors, startups, and research institutions

7. Talent & Capability Building

• Build and lead high-performing AI, data science, and ML engineering teams
• Upskill the organization on AI literacy and adoption
• Establish AI centers of excellence (CoE)

Qualifications & Experience

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field (PhD preferred for some organizations)
• 15–20+ years of experience in AI, data science, or advanced analytics roles
• Proven track record of delivering AI/ML solutions at scale
• Strong expertise in machine learning, deep learning, and data platforms
• Experience working with executive leadership and cross-functional teams

Key Competencies

• Deep AI/ML technical expertise
• Strategic thinking and innovation mindsetStrong business acumen and value orientation
• Leadership and stakeholder influence
• Ethical and responsible AI awareness