Job Description
We are seeking a visionary Lead AI Architect to spearhead the technological roadmap for 2026. At Nexus Horizon Labs, we are building the infrastructure for the next generation of sentient computing and autonomous decision-making systems. This is a rare opportunity to define the core architecture that will power our products for the next decade.
In this role, you will bridge the gap between theoretical AI research and scalable production engineering. You will be responsible for designing robust, ethical, and high-performance AI systems capable of handling complex, real-time data streams. If you are passionate about the future of technology and want to leave a lasting legacy in the AI industry, we want to hear from you.
Responsibilities
- Design and architect scalable AI infrastructure to support 2026 product goals and long-term scalability requirements.
- Lead a cross-functional team of ML engineers, data scientists, and researchers to implement cutting-edge neural networks.
- Define and enforce architectural standards for data privacy, security, and ethical AI usage.
- Optimize existing models for reduced latency and increased throughput in edge computing environments.
- Conduct deep-dive code reviews and technical mentoring to foster a culture of engineering excellence.
- Stay ahead of industry trends in Generative AI and Autonomous Agents to integrate novel technologies into our stack.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 8+ years of experience in software engineering, with at least 4 years specifically in Machine Learning/AI architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and modern GPU acceleration frameworks.
- Proven track record of deploying production-grade ML systems serving millions of users.
- Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Kubernetes/Docker).
- Experience with Large Language Models (LLMs) and fine-tuning methodologies.