Job Description
Shape the Intelligence of Tomorrow
Are you ready to define the future of technology? Nexus Horizon is seeking a visionary Senior AI Architect to lead our breakthrough initiatives for the 2026 Era. We are not just building AI; we are architecting the cognitive infrastructure of tomorrow.
In this pivotal role, you will bridge the gap between theoretical generative models and scalable production systems. You will be responsible for designing the next generation of Agentic AI workflows and Large Language Model (LLM) applications that will power our enterprise clients worldwide.
Why Nexus Horizon? We are a forward-thinking collective of engineers, futurists, and data scientists dedicated to pushing the boundaries of what is possible in 2026 and beyond. You will work in a dynamic, high-performance environment with top-tier talent.
Responsibilities
- Architect Next-Gen Systems: Design and deploy scalable AI architectures focusing on generative models, semantic search, and autonomous agents.
- R&D Leadership: Lead research initiatives to explore emerging AI paradigms, ensuring our stack is ready for the technological leaps of 2026.
- Model Optimization: Fine-tune and optimize large language models for specific enterprise use cases, ensuring latency and accuracy meet production standards.
- System Integration: Integrate AI solutions into existing cloud infrastructures (AWS/Azure) with a focus on security and data privacy.
- Team Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Strategic Planning: Collaborate with product leadership to translate business requirements into cutting-edge technical roadmaps.
Qualifications
- Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
- Technical Proficiency: Strong proficiency in Python, PyTorch, or TensorFlow; experience with LangChain or LlamaIndex.
- Architecture: Deep understanding of distributed systems, microservices, and cloud-native design patterns.
- Education: BS, MS, or PhD in Computer Science, Mathematics, or a related field.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
- Problem Solving: Proven track record of solving complex engineering challenges in high-pressure environments.