Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer the next generation of AI-driven solutions. We're seeking a visionary AI Innovation Lead to architect our 2026 roadmap and transform cutting-edge research into industry-defining products. This role combines strategic foresight with hands-on leadership in a dynamic, cross-functional environment where your work will directly shape the future of human-AI collaboration.
Our ideal candidate thrives at the intersection of machine learning, human-computer interaction, and scalable systems architecture. You'll lead a dedicated team of researchers and engineers while collaborating with executive stakeholders to align AI initiatives with business objectives. This is your opportunity to build the technologies that will define the next decade.
Responsibilities
- Architect and execute the 2026 AI innovation roadmap, aligning with emerging technological trends and market demands
- Lead a cross-functional team of ML engineers, data scientists, and UX researchers to deliver breakthrough AI solutions
- Establish strategic partnerships with academia and industry pioneers to accelerate research-to-production cycles
- Drive ethical AI framework development, ensuring responsible innovation and regulatory compliance
- Translate complex technical concepts into actionable business strategies for C-suite stakeholders
- Mentor talent and cultivate a culture of experimentation within the AI innovation lab
- Monitor competitive landscape and identify disruptive opportunities in adjacent technology domains
Qualifications
- 10+ years in AI/ML development with 5+ years in leadership roles at tech-forward organizations
- Proven track record of shipping production AI systems with measurable business impact
- Expertise in transformer architectures, generative AI, and human-AI interaction paradigms
- Strong background in scaling ML systems to enterprise-level deployments
- Demonstrated ability to translate technical vision into executable roadmaps
- PhD or Master's in Computer Science, AI, or related field preferred
- Published research in top-tier AI conferences (NeurIPS, ICML, CVPR) highly valued
- Experience with AI ethics frameworks and responsible AI governance