Job Description
Join QuantumLeap Dynamics as we architect the future! We're seeking an AI Futurist Strategist to pioneer breakthrough solutions that will define 2026 and beyond. This visionary role bridges cutting-edge AI research with enterprise strategy, transforming theoretical possibilities into tangible innovations. You'll collaborate with Nobel laureates and Silicon Valley pioneers in our Austin Innovation Hub, where we're building the infrastructure for humanity's next technological leap.
We offer unparalleled opportunities to shape emerging fields like quantum-AI convergence, neural-symbolic integration, and ethical autonomous systems. Our compensation package includes equity, unlimited PTO, and a $20,000 annual learning stipend. Be part of the team that's not just predicting the future – we're actively creating it.
Responsibilities
- Architect strategic roadmaps for AI adoption across Fortune 500 enterprises targeting 2026 market readiness
- Lead cross-functional R&D initiatives in quantum machine learning and explainable AI systems
- Develop ethical frameworks for autonomous decision-making in regulated industries
- Present visionary briefings to C-suite executives and government technology councils
- Author white papers on the societal impact of AI advancements in next-generation markets
- Mentor a team of 5-7 researchers in emerging AI paradigms
- Forge partnerships with MIT Media Lab and other premier research institutions
Qualifications
- PhD in Computer Science, Cognitive Science, or related field with 8+ years AI research experience
- Published work in top-tier AI/ML conferences (NeurIPS, ICML, ICLR) or equivalent industry impact
- Proven track record of deploying enterprise AI systems generating >$50M revenue
- Deep expertise in transformer architectures, reinforcement learning, and federated learning
- Experience advising Fortune 500 executives on technology transformation
- Strong background in AI ethics, bias mitigation, and regulatory compliance (GDPR, CCPA)
- Exceptional ability to communicate complex concepts to non-technical stakeholders