Job Description
Join Nexus Horizon, a pioneering force in the 2026 technology landscape. We are seeking a visionary Senior AI Infrastructure Architect to design the backbone of our next-generation neural networks and scalable AI ecosystems.
In this pivotal role, you will bridge the gap between theoretical AI research and production-grade infrastructure. You will be responsible for architecting systems that are not only powerful but also resilient, ethical, and future-proof.
As we gear up for the next era of digital transformation, your expertise in high-performance computing and large language model (LLM) deployment will be critical to our success.
Responsibilities
- Architect and deploy scalable AI infrastructure for large-scale language models and generative AI applications.
- Optimize cloud-native environments (AWS/Azure/GCP) to maximize inference speed and reduce latency.
- Collaborate with data scientists to translate research prototypes into robust, production-ready systems.
- Implement robust security protocols and ethical AI governance frameworks.
- Lead technical strategy for the integration of quantum-ready computing protocols.
- Conduct performance tuning and load balancing for distributed neural networks.
Qualifications
- Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s degree preferred.
- 7+ years of experience in software engineering, machine learning operations (MLOps), or cloud architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and Keras.
- Proven track record of deploying LLMs at scale with high availability.
- Strong understanding of distributed systems, microservices, and containerization (Docker/Kubernetes).
- Experience with vector databases (Pinecone, Milvus) and RAG architectures.