Job Description
Join Nexus Horizon Labs at the forefront of technological evolution as we architect the digital landscape of 2026. We seek a visionary AI Futurist to pioneer next-generation strategies that will redefine industries. This role blends cutting-edge AI research with practical implementation, requiring both deep technical expertise and transformative business acumen. You'll lead cross-functional teams to develop predictive models, ethical frameworks, and scalable solutions that position our clients as market leaders in the rapidly approaching 2026 ecosystem.
Our Austin hub offers an unparalleled environment for innovation, with state-of-the-art labs and collaboration spaces designed for breakthrough thinking. We provide comprehensive benefits including equity participation, flexible work arrangements, and dedicated R&D budgets. If you're passionate about shaping how humanity will interact with intelligent systems in the near future, this is your calling.
Responsibilities
- Develop and implement 2026-focused AI roadmaps for Fortune 500 clients
- Lead research initiatives in quantum-AI convergence and neural network optimization
- Design ethical governance frameworks for autonomous decision systems
- Coordinate with C-suite executives to align technological strategy with business objectives
- Present findings to industry panels and publish thought leadership in peer-reviewed journals
- Mentor cross-functional teams in emerging AI methodologies
- Identify and mitigate existential risks associated with advanced AI deployment
Qualifications
- PhD in Computer Science, AI, or related field with 8+ years experience
- Proven track record of deploying production-level AI systems at scale
- Expertise in transformer architectures, reinforcement learning, and federated learning
- Deep understanding of AI ethics, bias mitigation, and regulatory landscapes
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
- Experience advising C-level executives on technology transformation
- Strong background in predictive analytics and trend forecasting
- Proficiency in Python, TensorFlow, and cloud-based ML deployment