Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution. We're seeking a visionary AI Futurist to architect our 2026 innovation roadmap and pioneer solutions that will define the next decade. This role blends strategic foresight with hands-on implementation, requiring deep expertise in emerging technologies and human-centric design. You'll lead cross-functional teams to transform abstract concepts into tangible products that solve humanity's most pressing challenges.
Our ideal candidate thrives in ambiguity, possesses insatiable curiosity about AI's ethical implications, and can translate complex technical paradigms into actionable business strategies. You'll collaborate with Nobel laureates, industry disruptors, and government agencies to shape the future of human-machine collaboration.
Responsibilities
- Develop and execute 2026 technology adoption roadmaps for quantum AI and neural interfaces
- Lead cross-disciplinary R&D initiatives merging biotechnology, quantum computing, and generative AI
- Establish ethical frameworks for autonomous systems and cognitive augmentation technologies
- Partner with C-suite executives to align innovation with market disruption opportunities
- Secure $5M+ in research grants and strategic partnerships for future-tech incubation
- Author white papers on AI's societal impact and present at Davos/WEF summits
- Mentor next-gen innovators through our 2026 Tech Fellowship program
Qualifications
- PhD or equivalent in AI, Quantum Computing, or Systems Engineering with 10+ years of applied research
- Proven track record of launching breakthrough technologies (3+ commercialized innovations)
- Deep expertise in neural-symbolic AI and human-computer interaction paradigms
- Published author in Nature/Science or equivalent tier on future-tech topics
- Experience securing government contracts (DARPA, NSF) and venture capital funding
- Fluency in at least two programming languages (Python, R, or Julia preferred)
- Portfolio demonstrating work on ethical AI frameworks or human-machine symbiosis