Job Description
Are you ready to define the technological landscape of 2026? Nexus Horizon is seeking a visionary Senior AI Architect to lead our cutting-edge research and deployment of next-generation artificial intelligence systems.
In this pivotal role, you won't just be maintaining legacy systems; you will be architecting the infrastructure for the future. We are looking for a leader who thrives on complexity, possesses deep expertise in Large Language Models (LLMs), and is obsessed with ethical, scalable AI implementation. Join us in building the core intelligence that will drive our products through the next decade.
Why Nexus Horizon?
- Work on projects that define the 2026 AI standard.
- Competitive equity package and top-tier benefits.
- Collaborate with world-class engineers and researchers.
Apply today to shape the future of technology.
Responsibilities
- Design and oversee the architecture of scalable AI and Machine Learning systems, specifically focusing on the 2026 technological roadmap.
- Lead the integration of Generative AI models into core production environments, ensuring high performance and low latency.
- Establish best practices for MLOps, data governance, and model deployment pipelines.
- Conduct deep technical research to evaluate emerging AI frameworks and select optimal technologies for our ecosystem.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Collaborate with product and engineering teams to translate complex business requirements into robust technical solutions.
Qualifications
- 7+ years of experience in software engineering and machine learning architecture.
- Proven experience designing and deploying Large Language Models (LLMs) or Generative AI solutions.
- Strong proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
- Expertise in cloud architecture (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Experience with vector databases and RAG (Retrieval-Augmented Generation) architectures.
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field is preferred.