Job Description
We are pioneering the technological landscape of the year 2026. Nexus Horizon AI is seeking a visionary Lead AI Strategy Architect to design the next generation of autonomous systems, scalable neural networks, and ethical AI infrastructures. If you are ready to define the future of technology and lead a team of elite engineers, we want to hear from you.
In this role, you will bridge the gap between theoretical AI research and practical, scalable deployment. You will be responsible for the architectural roadmap that ensures our systems remain at the cutting edge of the industry by 2026 and beyond.
Why Join Us?
- Work on projects that define the standard for future AI integration.
- Competitive compensation package and equity options.
- Access to state-of-the-art computing resources and research facilities.
Responsibilities
- Architect and oversee the development of next-generation AI infrastructures capable of exascale computing.
- Define the technical roadmap for General AI integration and autonomous decision-making systems by 2026.
- Collaborate with quantum computing researchers to integrate quantum algorithms into classical AI models.
- Establish best practices for data sovereignty, privacy, and ethical AI compliance.
- Mentor and guide a diverse team of Senior AI Engineers and Data Scientists.
- Optimize deep learning models for low-latency, high-throughput environments.
- Drive the adoption of novel technologies such as Neural Radiance Fields and Generative Adversarial Networks (GANs).
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 15+ years of experience in software engineering, with at least 5 years in a lead architect or engineering management role.
- Deep expertise in Machine Learning frameworks (TensorFlow, PyTorch, JAX) and distributed systems.
- Proven track record of deploying Large Language Models (LLMs) and Generative AI at scale.
- Strong understanding of cloud-native architectures (AWS, GCP, or Azure) and containerization (Kubernetes, Docker).
- Experience with edge computing and IoT device optimization.
- Exceptional communication skills with the ability to translate complex technical concepts for executive stakeholders.