Job Description
Join Nexus Horizon Labs at the forefront of technological evolution! We're seeking a visionary AI Futurist & Innovation Strategist to architect our 2026 roadmap and pioneer next-generation solutions. As a key architect of our innovation ecosystem, you'll leverage cutting-edge AI to transform industries while shaping the future of human-machine collaboration. This hybrid role combines deep technical expertise with strategic foresight, offering unparalleled impact in a startup environment backed by $500M in venture capital.
Why Nexus Horizon Labs? We're not just predicting the future – we're building it. Our Austin headquarters features a quantum computing lab, immersive VR innovation spaces, and a dedicated ethics think tank. Enjoy competitive equity packages, unlimited learning stipends, and flexible work arrangements designed for peak creativity.
Responsibilities
- Architect and implement the 2026 AI innovation roadmap, aligning with emerging technological trends
- Lead cross-functional R&D teams in developing proprietary AI solutions for healthcare and logistics sectors
- Establish strategic partnerships with quantum computing and neurotech pioneers
- Develop ethical frameworks for autonomous systems and generative AI deployment
- Present future forecasts to C-suite executives and board members quarterly
- Drive patent development for breakthrough AI methodologies
- Mentor junior innovators in future-focused skill development
Qualifications
- PhD or Master's in Computer Science/AI with 8+ years in applied machine learning
- Proven track record in scaling AI initiatives from concept to enterprise deployment
- Deep expertise in generative AI, neural networks, and quantum computing fundamentals
- Published research in top-tier AI/ML conferences (NeurIPS, ICML)
- Experience with ethical AI governance frameworks (EU AI Act, NIST RMF)
- Exceptional strategic communication skills with executive stakeholders
- Portfolio demonstrating 3+ AI innovations with measurable business impact
- Fluency in Python, TensorFlow, and cloud architecture (AWS/GCP)