Job Description
Join Horizon Dynamics Inc. at the forefront of technological evolution as we pioneer solutions for the 2026 digital landscape. We seek an AI Futurist Strategist to architect tomorrow's intelligent systems today. This role demands visionary thinking to anticipate technological disruptions and design AI frameworks that will redefine industries by 2026. You'll collaborate with quantum computing teams, neuro-symbolic AI researchers, and ethical AI advocates to build sustainable, human-centric solutions that prepare businesses for the next paradigm shift.
Our Austin hub offers an unparalleled environment where cutting-edge research meets real-world application. We provide competitive benefits including equity participation, flexible work arrangements, and access to our state-of-the-art Future Tech Lab. This position is ideal for candidates who thrive at the intersection of AI ethics, predictive modeling, and strategic foresight.
Responsibilities
- Develop 2026 AI roadmaps integrating quantum-resistant algorithms and federated learning frameworks
- Lead cross-functional teams in prototyping next-gen AI systems for autonomous decision-making
- Conduct horizon scanning to identify emerging technologies with 2026 commercialization potential
- Design ethical AI governance frameworks compliant with anticipated 2026 global regulations
- Collaborate with neuroscientists to develop brain-inspired AI architectures
- Present strategic briefings to C-suite executives on AI's 2026 market impact
- Author thought leadership papers on AI's role in climate modeling and sustainable development
Qualifications
- PhD in Computer Science, AI, or Futurism with 5+ years applied research experience
- Proven expertise in quantum machine learning and post-quantum cryptography
- Deep understanding of neuro-symbolic AI and hybrid neural-symbolic systems
- Published research in top-tier AI journals (NeurIPS, ICML, Nature AI) since 2020
- Certification in AI ethics frameworks (IEEE, EU AI Act compliance)
- Experience with federated learning and distributed AI system architectures
- Demonstrated ability to translate complex AI concepts into strategic business initiatives
- Portfolio of implemented AI systems deployed in production environments