Job Description
Are you ready to define the future of technology? Nexus Horizon Technologies is seeking a visionary Lead AI Architect to spearhead our roadmap for the year 2026. We are not just building software; we are architecting the intelligent infrastructure of tomorrow. If you have a passion for pushing the boundaries of what's possible with Artificial General Intelligence (AGI) and autonomous systems, this is your chance to lead the charge.
In this pivotal role, you will bridge the gap between theoretical AI research and scalable production systems. You will guide a team of elite engineers in building the next generation of self-learning algorithms that will power the global economy by 2026. Join us in building the impossible.
Responsibilities
- Define and execute the technical roadmap for Nexus Horizon’s 2026 AI suite, focusing on autonomous agents and predictive analytics.
- Architect high-performance, scalable machine learning pipelines capable of processing exabyte-scale data.
- Lead the engineering team in adopting next-gen frameworks, including JAX, PyTorch, and quantum-ready libraries.
- Collaborate with product strategists to translate futuristic concepts into deployable, high-value software solutions.
- Mentor senior engineers and foster a culture of innovation, technical excellence, and rapid iteration.
- Ensure robust security protocols and ethical AI compliance across all neural network deployments.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- 7+ years of experience in machine learning engineering, with at least 3 years in a leadership or architect role.
- Deep expertise in deep learning architectures, NLP, computer vision, and reinforcement learning.
- Proven track record of deploying large-scale AI models in production environments.
- Strong proficiency in Python, C++, and distributed computing systems (Kubernetes, Apache Spark).
- Exceptional communication skills with the ability to explain complex technical concepts to non-technical stakeholders.