Job Description
We are on a mission to define the future of artificial intelligence, targeting the transformative capabilities expected by 2026. Nexus Horizon Labs is seeking a visionary Lead AI Architect to architect the next generation of autonomous AI systems, generative models, and intelligent agents.
In this role, you will bridge the gap between theoretical breakthroughs and production-grade deployment. You will lead a team of elite engineers and data scientists, ensuring our AI infrastructure is scalable, secure, and ready for the massive compute demands of the upcoming era of artificial general intelligence.
Why Join Us?
We offer a competitive compensation package, equity options, and the opportunity to work on projects that will shape the technological landscape for the next decade. If you are passionate about pushing the boundaries of what is possible with AI in 2026 and beyond, we want to hear from you.
Responsibilities
- Design and implement scalable AI architectures for autonomous agents and multi-modal models.
- Lead research and development efforts focused on optimizing Large Language Models (LLMs) for enterprise use cases.
- Collaborate with cross-functional teams to translate complex AI concepts into user-centric products.
- Oversee the end-to-end machine learning lifecycle, from data ingestion to model deployment and monitoring.
- Establish best practices for MLOps, ensuring high availability and fault tolerance of AI services.
- Drive ethical AI initiatives, ensuring fairness, transparency, and safety in all AI deployments.
- Provide technical mentorship and guidance to junior engineers and data scientists.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
- 8+ years of experience in software engineering with a strong focus on machine learning and artificial intelligence.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Proven experience building and deploying production-level LLMs and Generative AI applications.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
- Experience with RAG (Retrieval-Augmented Generation) and vector databases.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, innovative environment.