Job Description
Are you ready to architect the future of Artificial General Intelligence? Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead our infrastructure for 2026 and beyond.
We are building the foundational operating system for sentient machines. In this role, you won't just write code; you will design the neural pathways, optimize distributed inference, and define the ethical standards for the next generation of autonomous agents. If you are obsessed with pushing the boundaries of what is possible with Large Language Models and Multimodal systems, we want to meet you.
Why Join Nexus Horizon?
• Future-Proofing: Work on projects that are actively shaping the technological landscape of 2026 and beyond.
• Impact: Your work will directly influence how billions of users interact with AI globally.
• Equity Package: Competitive stock options in a high-growth startup environment.
Responsibilities
- Architectural Leadership: Design and implement scalable, high-performance AI inference engines capable of handling billions of requests with sub-millisecond latency.
- Model Optimization: Lead research and development into next-generation Transformer architectures, quantization techniques, and efficient memory management for edge deployment.
- Infrastructure Scaling: Oversee the deployment and management of massive GPU clusters using Kubernetes and distributed computing frameworks to support real-time learning.
- Safety & Ethics: Establish rigorous AI safety frameworks and governance protocols to ensure alignment and mitigate bias in autonomous systems.
- Technical Mentorship: Guide a team of top-tier ML engineers and data scientists, fostering a culture of innovation and continuous learning.
- Strategic Integration: Collaborate with product and engineering teams to seamlessly integrate advanced AI models into complex enterprise ecosystems.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Machine Learning, Mathematics, or a related technical field.
- Experience: 8+ years of professional software engineering experience with at least 4 years specifically in AI/ML architecture.
- Programming: Deep proficiency in Python, C++, and CUDA. Experience with Rust or Go is a strong plus.
- System Design: Extensive experience designing and managing distributed systems, containerization (Docker/Kubernetes), and cloud infrastructure (AWS, GCP, or Azure).
- Technical Depth: Proven track record of deploying and optimizing models serving millions of requests daily.
- Soft Skills: Exceptional problem-solving skills, strategic thinking, and the ability to communicate complex technical concepts to diverse stakeholders.