Job Description
Join Nexus Horizons Inc. at the forefront of technological evolution as our next AI Futurist & Innovation Strategist. We're seeking a visionary thinker to architect the next decade of AI-driven solutions and shape how humanity interacts with emerging technologies. This role blends deep technical expertise with strategic foresight to develop roadmaps for 2026 and beyond. You'll collaborate with quantum computing researchers, neurotech pioneers, and climate AI specialists to build ethical frameworks that accelerate progress while safeguarding humanity's future. Our Austin-based innovation hub offers unparalleled resources including quantum labs, neuro-interface testing suites, and a $50M annual R&D budget.
Responsibilities
- Develop 5-year strategic roadmaps for AI integration across quantum computing, biotech, and climate modeling
- Lead cross-functional teams to prototype AI-human symbiotic systems for 2026 deployment
- Establish ethical governance frameworks for AGI development and neuro-technological applications
- Partner with academic institutions to pioneer research in consciousness emulation and predictive AI
- Design resilience protocols for AI infrastructure in post-quantum security landscapes
- Present innovation blueprints to C-suite executives and global tech summits
- Mentor junior futurists in predictive modeling and scenario planning methodologies
Qualifications
- PhD in Computer Science, Cognitive Science, or related field with 8+ years in AI R&D
- Proven track record developing AI roadmaps for Fortune 500 companies or research institutions
- Expertise in quantum machine learning and neural-symbolic integration
- Published work on AI ethics, AGI alignment, or human-machine collaboration
- Proficiency in predictive modeling using TensorFlow, PyTorch, and quantum frameworks
- Experience with regulatory compliance in AI (EU AI Act, NIST frameworks)
- Demonstrated ability to translate complex technical concepts for executive audiences
- Certifications in AI governance (e.g., CAG, AIGP) preferred