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Chief AI Officer (CAIO)

  • Full Time
  • Anywhere

TheHiveCareers

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 mindset
  • Strong business acumen and value orientation
  • Leadership and stakeholder influence
  • Ethical and responsible AI awareness

Originally posted on Himalayas

To apply for this job please visit himalayas.app.

About this role & career path

Working in Suriname

Suriname, officially the Republic of Suriname, is a country in northern South America, also considered as part of the Caribbean and the West Indies. Situated slightly north of the equator, over 90% of its territory is covered by rainforest, the second-highest proportion of forest cover in the world. Suriname is bordered by the Atlantic Ocean to the north, French Guiana to the east, Brazil to the south, and Guyana to the west. It is the smallest country in South America by both population and territory, with around 612,985 inhabitants in 2021 in an area of approximately 165,940 square kilometer

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