Job Description
Shape the Future of Intelligence
We are looking for a visionary Senior AI Architect to lead the design of our next-generation systems for 2026 and beyond. At Nexus Horizon AI, we are not just adapting to the future; we are building it. You will be at the forefront of integrating Generative AI, Quantum-Ready Algorithms, and Ethical Frameworks into scalable enterprise solutions.
In this pivotal role, you will translate high-level strategic goals into robust technical roadmaps, ensuring our infrastructure remains future-proof as technology evolves. If you are passionate about pushing the boundaries of Artificial General Intelligence (AGI) and want to define the standards of tomorrow, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that define the AI landscape.
- Competitive compensation and equity packages.
- Flexible remote-first culture with state-of-the-art equipment.
- Opportunity to mentor the next generation of AI engineers.
Responsibilities
- Architect and design scalable, high-performance AI infrastructure capable of processing petabyte-scale data.
- Define the technical roadmap for the 2026 release cycle, focusing on LLM integration and autonomous agents.
- Lead the research and implementation of novel machine learning algorithms to improve model accuracy and efficiency.
- Collaborate with cross-functional teams (Data Science, Product, Security) to ensure seamless deployment of AI solutions.
- Establish best practices for code quality, testing, and CI/CD pipelines within the AI engineering department.
- Oversee system reliability and scalability during peak loads and rapid feature iterations.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of experience in software engineering, with at least 5 years in a Lead Architect or Senior Engineering role.
- Deep expertise in Python, C++, and frameworks such as PyTorch, TensorFlow, or JAX.
- Proven experience designing distributed systems and cloud-native applications on AWS or GCP.
- Strong understanding of MLOps, data pipelines, and model versioning strategies.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.