Chief AI Officer

1 month ago

San Francisco CA United States Unreal Gigs Full time

Are you a visionary in artificial intelligence, ready to drive transformative change across industries? Do you have the strategic mindset and technical expertise to lead AI initiatives that unlock new opportunities, optimize processes, and create intelligent solutions for complex challenges? If you’re excited about setting the direction for an organization’s AI strategy and guiding a team of talented engineers and data scientists, our client has the perfect role for you. We’re looking for a Chief AI Officer (aka The AI Visionary) to lead AI innovation and implementation across the organization, making cutting-edge AI solutions a cornerstone of its competitive edge.

As the Chief AI Officer at our client , you’ll be responsible for developing and executing a strategic vision for AI that aligns with business goals, drives innovation, and positions the company as a leader in artificial intelligence. You’ll work closely with executives, product leaders, and AI teams to ensure AI-driven solutions enhance product offerings, improve decision-making, and create meaningful value.

Key Responsibilities:

  1. Develop and Drive the AI Vision and Strategy:
    Set the strategic direction for AI initiatives, creating a roadmap that aligns AI solutions with the organization’s long-term goals. You’ll ensure that AI efforts support scalability, efficiency, and transformative growth across the company.
  2. Lead AI Innovation and Research Initiatives:
    Drive innovation by overseeing research in advanced AI fields, including machine learning, natural language processing, computer vision, and reinforcement learning. You’ll identify emerging AI technologies that have the potential to enhance products and services.
  3. Collaborate with Cross-Functional Leaders to Integrate AI:
    Partner with C-level executives, product leaders, and business unit heads to integrate AI capabilities into various business functions. You’ll work to maximize AI’s impact across departments, ensuring alignment with business objectives and customer needs.
  4. Oversee AI Model Development, Deployment, and Ethics:
    Manage the end-to-end lifecycle of AI models, from development and testing to deployment and maintenance. You’ll also establish ethical AI guidelines, ensuring models are transparent, fair, and align with responsible AI principles.
  5. Build and Lead a High-Performing AI Team:
    Recruit, mentor, and lead a team of data scientists, machine learning engineers, and AI researchers. You’ll foster a culture of collaboration and continuous learning, empowering your team to push boundaries in AI innovation.
  6. Ensure Data Infrastructure and Security for AI:
    Collaborate with IT and data engineering teams to ensure that data infrastructure supports scalable, secure, and compliant AI operations. You’ll work to streamline data flows, maintain data quality, and ensure compliance with privacy and security standards.
  7. Stay at the Forefront of AI Trends and Advancements:
    Keep up-to-date with the latest developments in AI, from research breakthroughs to industry applications. You’ll ensure that the company is always one step ahead in leveraging AI advancements to maintain its competitive advantage.

Required Skills:

  • AI and Machine Learning Expertise: Extensive experience in AI technologies, including machine learning, deep learning, NLP, computer vision, and model development. You understand the technical foundations and strategic applications of AI across business functions.
  • Strategic Vision and Business Acumen: Proven ability to develop a vision for AI initiatives and align them with business objectives. You understand market trends and know how to position AI as a strategic asset within the organization.
  • Leadership and Team Management: Strong leadership skills with experience building and leading high-performing AI teams. You’re adept at motivating talent, fostering innovation, and driving complex projects to success.
  • Data Infrastructure Knowledge: Familiarity with data architecture, cloud computing, and data governance. You understand the data requirements of AI systems and work effectively with IT to maintain scalable and secure data pipelines.
  • Ethics and Responsible AI Practices: Knowledge of AI ethics, transparency, and bias mitigation practices. You’re committed to creating fair, accountable, and explainable AI solutions that uphold responsible AI standards.

Educational Requirements:

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field. Equivalent experience in AI leadership and strategy may be considered.
  • Certifications in AI strategy, data science, or executive management are advantageous.

Experience Requirements:

  • 10+ years of experience in AI and machine learning, with a strong track record of implementing AI solutions in business contexts.
  • 5+ years of experience in executive or senior leadership roles within AI, data science, or technology strategy.
  • Familiarity with AI ethics, regulatory requirements, and data privacy laws is highly desirable.
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