Job Description
Join Nexus Horizon at the forefront of technological evolution as we prepare for the transformative landscape of 2026. We seek an AI Futurist Strategist to architect next-generation solutions that will redefine industries. This role bridges cutting-edge research with practical implementation, requiring visionary thinking and technical excellence. You'll lead cross-functional teams to develop predictive models, ethical AI frameworks, and immersive digital experiences that will shape the next decade of human-machine interaction.
Our Austin headquarters offers a collaborative environment where innovation thrives, complemented by comprehensive benefits including equity participation, flexible work arrangements, and continuous learning stipends. This position reports directly to our Chief Technology Officer and will have significant impact on our product roadmap and strategic partnerships.
Responsibilities
- Design and implement AI-powered predictive analytics systems for market forecasting and trend analysis
- Lead development of ethical AI governance frameworks ensuring compliance with emerging 2026 regulatory standards
- Architect quantum-resistant cryptographic protocols for next-gen security infrastructure
- Collaborate with product teams to integrate AR/VR interfaces with neural network processing
- Establish industry-wide standards for human-AI collaboration protocols
- Manage research partnerships with leading academic institutions and tech labs
- Present strategic technology roadmaps to executive stakeholders and investors
Qualifications
- PhD in Computer Science, AI, or related field with 5+ years industry experience
- Expertise in advanced machine learning architectures (transformers, GANs, diffusion models)
- Deep understanding of quantum computing principles and quantum machine learning
- Proven track record of deploying ethical AI frameworks in production environments
- Strong background in human-computer interaction and immersive technologies
- Experience with federated learning and decentralized AI systems
- Published research in top-tier AI/ML conferences or journals
- Proficiency in Python, TensorFlow/PyTorch, and cloud platforms (AWS/GCP)