Job Description
Are you ready to define the trajectory of Artificial Intelligence for the next decade?
Nexus Horizon is seeking a visionary Future-Proof AI Architect to spearhead our research and development initiatives leading up to and beyond the 2026 technological landscape. In this pivotal role, you will not just build models; you will architect the foundational systems that will power autonomous agents, next-gen generative AI, and ethical machine learning ecosystems.
We are looking for a thought leader who combines deep technical mastery with a strategic mindset to solve complex problems that don't even exist yet. If you are passionate about the future of technology and want to shape the standard for AI in 2026 and beyond, this is your opportunity to join the elite.
Responsibilities
- Design and implement scalable, fault-tolerant AI infrastructure designed for the 2026 computing paradigm.
- Lead the research and development of advanced Large Language Models (LLMs) and multimodal AI systems.
- Define architectural roadmaps for transitioning legacy systems to next-gen neural network architectures.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer and enterprise products.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Ensure all AI deployments adhere to the highest standards of ethical AI, bias mitigation, and data privacy.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field (or equivalent extensive experience).
- 10+ years of experience in software engineering, with at least 5 years specializing in Machine Learning and Deep Learning.
- Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
- Proven experience building and deploying models at scale using cloud infrastructure (AWS, GCP, or Azure).
- Strong understanding of distributed systems, microservices, and MLOps pipelines.
- Experience with Vector Databases (Pinecone, Milvus) and RAG (Retrieval-Augmented Generation) architectures.