Job Description
Join Nexus Futuristics at the forefront of technological evolution. We're seeking a visionary 2026 AI Strategy Architect to design and implement the next generation of artificial intelligence frameworks that will redefine industries by 2026. This role combines cutting-edge technical expertise with strategic foresight to build AI systems that anticipate future market shifts, ethical challenges, and human-AI collaboration paradigms.
You'll lead cross-functional teams in developing AI roadmaps that align with our 2026 vision, ensuring scalability, security, and societal impact. Our Austin hub serves as the nerve center for North American AI innovation, offering unparalleled resources to transform ambitious concepts into reality.
Responsibilities
- Architect AI frameworks with 2026-forward capabilities including quantum-integrated machine learning and adaptive neural networks
- Develop strategic AI roadmaps aligned with emerging regulatory landscapes and ethical AI standards
- Lead cross-functional teams in implementing AI solutions for autonomous systems and predictive analytics
- Conduct horizon scanning for AI disruptors and synthesize insights into actionable 2026 strategy
- Collaborate with global R&D teams to standardize AI protocols across international markets
- Present strategic frameworks to C-suite executives and venture capital partners
- Drive innovation in human-AI interaction design and explainable AI methodologies
Qualifications
- PhD in Computer Science, AI, or related field with 5+ years of strategic AI leadership experience
- Proven expertise in developing AI roadmaps with 5+ year implementation horizons
- Deep knowledge of quantum computing, neuromorphic engineering, and generative adversarial networks
- Experience with AI ethics frameworks and regulatory compliance (EU AI Act, NIST AI RMF)
- Strong background in cloud-native AI deployment (AWS SageMaker, Azure ML, GCP Vertex)
- Exceptional strategic communication skills with executive stakeholders and technical teams
- Published research in top-tier AI journals or conference proceedings (NeurIPS, ICML, CVPR)
- Proficiency in Python, TensorFlow, and PyTorch with enterprise-scale system design