Job Description
We are seeking a visionary Lead AI Architect to spearhead the development of our next-generation artificial intelligence infrastructure. In this pivotal role, you will be the architect of our 2026 strategic roadmap, designing scalable, ethical, and high-performance AI systems that redefine the boundaries of technology. You will work at the intersection of deep learning, generative models, and ethical AI governance to build solutions that are not only advanced today but are future-proofed for the decade ahead.
Why Join Nexus Horizon?
We are a forward-thinking organization dedicated to solving humanity's most complex challenges through technology. Our team consists of industry pioneers, and we offer a culture of innovation, autonomy, and high-impact work. If you are passionate about the future of AI and want to leave a lasting legacy, this is your opportunity.
Responsibilities
- Architect and oversee the end-to-end deployment of enterprise-grade AI solutions, focusing on scalability and real-time processing.
- Lead the research and development of cutting-edge algorithms, specifically in Generative AI and Large Language Models (LLMs), ensuring readiness for 2026 standards.
- Define and enforce AI ethics protocols, ensuring responsible data usage and algorithmic fairness across all products.
- Mentor a team of top-tier engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Collaborate cross-functionally with product, engineering, and executive teams to translate complex technical concepts into business value.
- Stay ahead of industry trends, identifying emerging technologies (e.g., Agentic AI, Spatial Computing) that can be integrated into our roadmap.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- Minimum of 8 years of experience in software engineering, with at least 5 years in a Lead Architect or Senior Engineering role.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, AWS, GCP).
- Proven track record of designing and deploying production-level machine learning models.
- Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Exceptional problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.