Job Description
Join Nexus Innovations as we pioneer the next wave of technological evolution. We're seeking a visionary AI Futurist to architect our 2026 roadmap and transform cutting-edge research into industry-defining solutions. This role sits at the intersection of machine learning, quantum computing, and human-centric design, requiring both strategic foresight and technical mastery. You'll lead cross-disciplinary teams to prototype breakthrough applications while ensuring ethical frameworks guide our innovation journey.
Our culture thrives on intellectual curiosity and rapid prototyping. You'll collaborate with Nobel laureates, venture capitalists, and government agencies to shape policies and products that will define the next decade. The ideal candidate thrives in ambiguity and finds inspiration in solving problems that don't yet have names.
Responsibilities
- Architect 2026 AI innovation roadmap aligning with quantum computing and neuromorphic research
- Lead cross-functional teams in developing prototypes for next-gen human-AI interfaces
- Establish ethical frameworks for autonomous systems and biometric data integration
- Secure strategic partnerships with academic institutions and federal research labs
- Present disruptive technologies to C-suite executives and investment committees
- Drive adoption of explainable AI in regulated industries (healthcare, finance)
- Mentor junior researchers in responsible AI development methodologies
Qualifications
- PhD in Computer Science, Cognitive Science, or related field with 5+ years industry experience
- Published research in Nature/Science journals on quantum machine learning or neuro-symbolic AI
- Proven track record of leading $1M+ R&D initiatives with measurable commercial impact
- Deep expertise in transformer architectures, federated learning, and ethical AI frameworks
- Experience interfacing with regulatory bodies (FDA, SEC, FTC) on tech policy
- Portfolio of deployed AI systems serving 1M+ users in regulated environments
- Exceptional ability to translate complex technical concepts for non-technical stakeholders