Job Description
Join InnovateX Labs at the forefront of technological evolution as we shape the future of human-AI collaboration. We seek a visionary AI Futurist Lead to architect transformative solutions for 2026 and beyond. This role blends cutting-edge machine learning with strategic foresight to solve humanity's most pressing challenges. You'll lead a multidisciplinary team in developing autonomous systems, ethical AI frameworks, and next-generation neural interfaces while ensuring alignment with sustainable development goals.
Our ideal candidate thrives at the intersection of innovation and practicality, translating complex theoretical concepts into scalable products. You'll collaborate with quantum computing researchers, neuroscientists, and policy experts to pioneer breakthroughs that redefine human potential. This is your opportunity to leave an indelible mark on the technological landscape while championing responsible AI development.
Responsibilities
- Architect and deploy next-gen AI systems for 2026+ applications including autonomous decision engines and predictive neural networks
- Lead cross-functional teams of ML engineers, ethicists, and domain experts to deliver breakthrough AI solutions
- Develop ethical AI frameworks ensuring alignment with UN SDGs and emerging global regulations
- Pioneer human-AI symbiosis technologies through neural interface and brain-computer interface innovations
- Conduct horizon scanning to identify emerging AI risks and opportunities shaping 2026 technological landscape
- Translate theoretical AI advancements into commercial applications with measurable societal impact
- Represent InnovateX at global AI governance forums and shape industry standards for future technologies
Qualifications
- PhD in Computer Science, AI, Cognitive Science, or related field with 8+ years of research leadership
- Proven track record in deploying production-level AI systems with measurable societal impact
- Expertise in quantum machine learning, neuromorphic computing, or ethical AI frameworks
- Deep understanding of emerging AI risks including alignment problems and existential safety
- Demonstrated ability to lead multidisciplinary teams across technical and non-technical domains
- Published research in top-tier AI/ML journals or conferences (NeurIPS, ICML, Nature AI)
- Experience with AI governance frameworks (EU AI Act, NIST AI RMF) and policy development
- Exceptional communication skills for translating complex AI concepts to diverse stakeholders