Job Description
Join QuantumLeap Technologies at the forefront of technological evolution as we architect the future of 2026. We seek a visionary AI Futurist to lead our innovation roadmap, blending cutting-edge artificial intelligence with human-centric design to solve tomorrow's challenges today. This pivotal role demands strategic foresight, technical mastery, and a passion for transforming abstract concepts into tangible solutions that will redefine industries by 2026.
As a cornerstone of our R&D division, you'll collaborate with Nobel laureates, Silicon Valley disruptors, and government futurists to pioneer quantum computing applications, neural interfaces, and sustainable AI ecosystems. Your work will directly influence how humanity navigates climate change, space exploration, and digital consciousness in the coming decade.
Responsibilities
- Develop and execute the 2026 AI innovation strategy, aligning technological capabilities with market forecasts
- Lead cross-functional teams in prototyping next-gen AI systems for healthcare, energy, and space exploration
- Establish partnerships with academic institutions and government agencies to shape national AI policies
- Conduct horizon scanning to identify emerging technologies with transformative potential by 2026
- Create predictive models for societal impacts of advanced AI adoption
- Present strategic roadmaps to C-suite executives and venture capital partners
- Drive ethical AI frameworks ensuring responsible development of superintelligent systems
Qualifications
- PhD or equivalent in AI, Computer Science, or Futurism with 8+ years in strategic innovation
- Proven track record of developing and implementing 5-year technology roadmaps
- Expertise in quantum computing, neural networks, and predictive analytics
- Published research in peer-reviewed journals on AI ethics or singularity studies
- Experience with scenario planning and trend analysis methodologies
- Strong stakeholder management skills across technical, business, and government domains
- Deep understanding of regulatory landscapes for autonomous systems and AGI