Job Description
We are seeking a visionary Lead AI Architect to spearhead the development of next-generation artificial intelligence systems for the 2026 era. At Apex Horizon Systems, we don't just predict the future; we build it. You will be at the forefront of deploying scalable, ethical, and high-performance AI models that redefine human-machine interaction. Join a world-class team dedicated to pushing the boundaries of generative AI, predictive analytics, and autonomous systems.
Why Join Us?
- Work on cutting-edge technology that shapes the 2026 landscape.
- Competitive compensation and equity package.
- Flexible remote-first culture with premium San Francisco office access.
Responsibilities
- Architect 2026-Ready AI Systems: Design and implement robust, scalable neural network architectures capable of handling next-generation data volumes and complexity.
- Generative AI Leadership: Lead the research and deployment of advanced Large Language Models (LLMs) and multimodal AI systems.
- Model Optimization: Fine-tune and optimize AI models for edge computing environments and low-latency applications.
- Technical Strategy: Define the technical roadmap for AI infrastructure, ensuring alignment with long-term business goals.
- Ethical AI Governance: Establish frameworks for responsible AI, ensuring fairness, transparency, and bias mitigation in all models.
- Team Mentorship: Mentor a team of junior engineers and data scientists, fostering a culture of continuous learning and innovation.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 7+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture and model development.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, AWS/GCP/Azure).
- AI Proficiency: Proven track record of working with Large Language Models (GPT, LLaMA, etc.) and Generative Adversarial Networks (GANs).
- Problem Solving: Exceptional ability to troubleshoot complex system issues and optimize performance bottlenecks.
- Communication: Strong written and verbal communication skills, capable of translating complex technical concepts for diverse stakeholders.