Job Description
We are building the infrastructure for tomorrow. Nexus Horizon is seeking a visionary Senior 2026 AI Systems Architect to lead the development of our next-generation predictive intelligence platform. In this role, you will define the architectural blueprint for our 2026 roadmap, ensuring scalability, security, and performance at the edge of artificial intelligence. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.
About the Role
As a Senior Architect, you will be at the helm of integrating advanced Large Language Models (LLMs) with real-time data streams. You will work closely with cross-functional teams of engineers, data scientists, and product managers to deliver solutions that are not only robust but also future-proof.
Responsibilities
- Design and implement scalable, fault-tolerant AI architectures tailored for high-volume data processing.
- Lead the architectural strategy for the 2026 product suite, ensuring alignment with business goals and technological trends.
- Optimize existing machine learning pipelines to improve inference speeds and reduce latency by 40%.
- Define technical standards and best practices for AI model deployment and monitoring.
- Conduct deep-dive technical reviews and mentor junior architects and software engineers.
- Collaborate with security teams to ensure compliance with data privacy regulations and robust threat modeling.
- Prototype and validate new technologies (e.g., quantum computing interfaces) to prepare for 2026 adoption.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML infrastructure.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
- Strong proficiency in cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
- Proven track record of leading large-scale technical projects from conception to production.
- Excellent communication skills, with the ability to translate complex technical concepts for non-technical stakeholders.
- Experience with MLOps tools and CI/CD pipelines.