Job Description
Join Nexus Innovations at the forefront of technological evolution as our AI Strategy Director. Shape the future by leading groundbreaking initiatives in artificial intelligence, machine learning, and predictive analytics. This pivotal role demands visionary leadership to drive innovation across industries while ensuring ethical AI implementation. Collaborate with C-suite executives, research labs, and global partners to develop scalable AI solutions that redefine business paradigms for the 2026 landscape.
We offer an unparalleled environment where your expertise will directly influence the next generation of intelligent systems. Our culture thrives on curiosity, agility, and bold thinking. Enjoy competitive equity packages, flexible work arrangements, and continuous learning opportunities in our state-of-the-art innovation hub.
Responsibilities
- Develop and execute enterprise-wide AI strategy aligned with 2026 market trends and business objectives
- Lead cross-functional teams of AI researchers, data scientists, and engineers in cutting-edge ML/AI projects
- Establish ethical AI frameworks and governance protocols for responsible implementation
- Drive partnerships with tech giants, academia, and government agencies for AI ecosystem expansion
- Present AI transformation roadmaps to stakeholders and secure executive buy-in for $10M+ initiatives
- Mentor AI talent and foster a culture of continuous innovation within the organization
- Monitor emerging AI regulations (e.g., EU AI Act, US AI Bill of Rights) and ensure compliance
Qualifications
- 10+ years in AI/ML leadership with proven experience directing large-scale AI initiatives
- Expertise in generative AI, neural networks, and predictive analytics with deployment success
- Deep understanding of AI ethics, bias mitigation, and responsible AI development
- Track record of translating AI capabilities into measurable business impact (ROI >300%)
- Strong C-suite communication skills with experience presenting complex technical concepts
- PhD in Computer Science, AI, or related field preferred; equivalent industry experience required
- Published research in top-tier AI conferences (NeurIPS, ICML, CVPR) highly desirable
- Proficiency in AI deployment frameworks (TensorFlow, PyTorch) and cloud platforms (AWS GCP, Azure)