Job Description
Are you ready to define the landscape of technology for the year 2026? Nexus Horizon Labs is seeking a visionary Lead AI Architect to spearhead our next generation of autonomous systems and generative intelligence models. We are not just building software; we are architecting the future. In this pivotal role, you will bridge the gap between theoretical AI advancements and scalable production environments, ensuring our solutions remain at the cutting edge of the 2026 tech stack.
Join a team of elite engineers and data scientists pushing the boundaries of what is possible. We offer a competitive benefits package, remote-first flexibility, and the opportunity to work on projects that will define the next decade of human-computer interaction.
Join a team of elite engineers and data scientists pushing the boundaries of what is possible. We offer a competitive benefits package, remote-first flexibility, and the opportunity to work on projects that will define the next decade of human-computer interaction.
Responsibilities
- Architect and deploy scalable machine learning pipelines designed for the high-performance demands of 2026.
- Lead the research and implementation of cutting-edge Large Language Models (LLMs) and neural network architectures.
- Collaborate with cross-functional teams to translate business requirements into robust AI solutions.
- Define the technical roadmap for AI infrastructure, ensuring security, efficiency, and scalability.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Conduct rigorous code reviews and optimize model performance for edge and cloud deployment.
- Stay ahead of industry trends to ensure our tech stack remains future-proof.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 7 years of experience in software engineering, with at least 4 years specifically focused on AI/ML architecture.
- Deep proficiency in Python, PyTorch, TensorFlow, and modern cloud platforms (AWS, GCP, or Azure).
- Extensive experience with MLOps, model deployment, and data engineering best practices.
- Strong understanding of Natural Language Processing (NLP) and computer vision technologies.
- Proven track record of leading high-performance engineering teams in a fast-paced startup environment.
- Excellent communication skills, capable of articulating complex technical concepts to non-technical stakeholders.