Job Description
Shape the Future of Intelligence
Are you ready to architect the technology landscape of 2026? Apex Horizon Labs is at the forefront of next-generation AI development. We are looking for a visionary Senior AI Architect to lead the design and deployment of our multimodal cognitive systems. If you thrive on pushing the boundaries of what's possible with Large Language Models (LLMs) and edge computing, this is your opportunity to build the foundation for the future.
Why Join Us?
• Work with state-of-the-art hardware and cutting-edge frameworks.
• Competitive equity package and annual bonus structure.
• Flexible remote-first policy with a premium office in the SF Financial District.
• Access to a top-tier research library and continuous learning budget.
Responsibilities
- Design and implement scalable, high-performance AI architectures capable of real-time reasoning.
- Lead the research and development of proprietary generative models tailored for enterprise applications.
- Optimize model inference latency and memory usage for edge deployment scenarios.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate research into production-ready features.
- Establish best practices for MLOps, model governance, and ethical AI compliance.
- Contribute to the academic and technical community through patents and open-source contributions.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field (5+ years of experience in lieu of degree).
- Deep expertise in Python, PyTorch, TensorFlow, and modern deep learning libraries.
- Proven track record of deploying LLMs or Generative Adversarial Networks (GANs) in production environments.
- Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
- Experience with vector databases and RAG (Retrieval-Augmented Generation) architectures.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.