Job Description
Join Apex Horizon Technologies, a pioneer in next-generation intelligence, as we architect the AI systems of 2026. We are looking for a visionary Senior AI Systems Architect to lead the development of our proprietary neural frameworks. This is not just a job; it is an opportunity to define the technological landscape of the coming decade.
In this pivotal role, you will bridge the gap between theoretical machine learning research and the scalable infrastructure required to power the future. You will oversee the entire machine learning lifecycle, ensuring our models are robust, ethical, and capable of solving the complex challenges of tomorrow.
Why join us? We offer a competitive package, equity in a high-growth unicorn, and the chance to work with the brightest minds in the industry.
Responsibilities
- Architect Scalable Infrastructures: Design and maintain the core distributed computing systems required to train and deploy large-scale AI models.
- Model Optimization: Engineer solutions to reduce latency and computational costs while maximizing inference accuracy.
- Strategic Roadmapping: Define the technical roadmap for AI capabilities, specifically focusing on 2026-era technologies such as generative agents and quantum-ready algorithms.
- Cross-Functional Leadership: Collaborate with data scientists, product managers, and security teams to align AI capabilities with business objectives.
- Ethical AI Compliance: Implement guardrails and safety protocols to ensure responsible AI deployment.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 7+ years of software engineering experience, with at least 3 years in a leadership role within AI/ML infrastructure.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, Docker).
- Specialized Knowledge: Proven track record with Large Language Models (LLMs) and Transformer architectures.
- Problem Solving: Exceptional ability to troubleshoot complex system bottlenecks under pressure.