Job Description
Join Nexus Horizon Labs at the forefront of technological evolution as we shape the 2026 digital landscape. We seek an AI Futurist Strategist to architect tomorrow's intelligent systems today. This pivotal role bridges cutting-edge research with market-ready solutions, transforming theoretical AI into tangible business value. You'll collaborate with quantum computing pioneers, neuro-researchers, and sustainable tech innovators to redefine human-machine collaboration.
Our Austin-based innovation hub offers unparalleled resources, including access to quantum processors, neuromorphic computing clusters, and a $500M R&D budget. We provide relocation assistance, equity packages, and flexible work arrangements for top-tier talent shaping 2026's technological paradigm.
Responsibilities
- Architect AI roadmaps for 2026, integrating quantum computing, neuromorphic systems, and ethical AI frameworks
- Lead cross-disciplinary teams to develop next-generation autonomous systems and predictive analytics platforms
- Translate emerging research (AGI, quantum ML, bio-AI) into patent-pending commercial applications
- Design human-AI collaboration protocols optimizing productivity while maintaining ethical oversight
- Partner with Fortune 500 clients to deploy 2026-ready AI solutions in healthcare, logistics, and climate tech
- Author whitepapers on AI's societal impact, influencing global tech policy and industry standards
Qualifications
- PhD in Computer Science, AI, or related field with 5+ years applied research experience
- Published work in top-tier AI/ML conferences (NeurIPS, ICML, ICLR) or equivalent industry impact
- Expertise in quantum algorithms, neuromorphic computing, or generative AI architectures
- Proven track record of translating research into production-scale AI systems
- Deep understanding of ethical AI frameworks and responsible deployment practices
- Experience with full-stack AI development (PyTorch, TensorFlow, quantum SDKs)
- Exceptional strategic communication skills for executive and technical audiences