Job Description
Are you ready to architect the future of artificial intelligence? Nexus Future Systems is seeking a visionary Head of AI Strategy & Ethics to lead our initiatives toward the 2026 horizon. In this pivotal role, you will define the roadmap for our next-generation AI models, ensuring they are not only technologically superior but also ethically sound and aligned with global standards.
As a leader in our organization, you will bridge the gap between complex technical capabilities and strategic business goals. We are looking for a professional who thrives in ambiguity and possesses the foresight to navigate the evolving landscape of technology. Join us in shaping the digital reality of tomorrow.
Responsibilities
- Define the 2026 Vision: Create and execute a comprehensive long-term AI strategy that aligns with the company’s growth objectives and industry trends.
- Ethical Governance: Establish and oversee robust ethical guidelines and compliance frameworks to ensure responsible AI development and deployment.
- Cross-Functional Leadership: Collaborate with engineering, product, and legal teams to integrate AI solutions that drive innovation while mitigating risk.
- Strategic Partnerships: Identify and cultivate relationships with key stakeholders, academic institutions, and industry leaders to stay ahead of the curve.
- Resource Allocation: Manage the budget for AI research and development, ensuring optimal investment in high-impact areas.
- Thought Leadership: Represent the company at major conferences and publish insights on the future of AI technology.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, Ethics, or a related technical field.
- Experience: Minimum of 10 years of progressive experience in AI, Machine Learning, or technology strategy, with at least 5 years in a leadership or executive capacity.
- Strategic Mindset: Proven track record of developing and implementing successful technology roadmaps.
- Ethical Expertise: Deep understanding of AI ethics, bias mitigation, and regulatory compliance (e.g., GDPR, AI Act).
- Communication: Exceptional ability to articulate complex technical concepts to diverse audiences, from C-suite executives to engineering teams.