Job Description
We are on the precipice of a technological singularity, and Apex Horizon Systems is building the architecture that will define the next era of human-machine collaboration. We are seeking a visionary Future AI Systems Architect (Class of 2026) to lead the development of autonomous, generative intelligence frameworks.
In this role, you won't just be maintaining legacy systems; you will be architecting the core infrastructure for the year 2026 and beyond. You will bridge the gap between theoretical AI research and scalable, real-world deployment. Join a team of pioneers dedicated to pushing the boundaries of what is possible in neural networks, quantum computing integration, and autonomous agents.
Why join us?
We offer a competitive compensation package, equity options, and the opportunity to work in a state-of-the-art facility in the heart of Silicon Valley.
Responsibilities
- Design & Architect: Lead the end-to-end design of scalable AI infrastructure, focusing on Generative AI, Reinforcement Learning, and Neural Architecture Search.
- Roadmap Strategy: Define the technical roadmap for AI capabilities expected by 2026, ensuring forward compatibility and future-proofing.
- Model Optimization: Oversee the optimization of Large Language Models (LLMs) and multimodal systems for real-time latency and efficiency.
- Interdisciplinary Collaboration: Partner with data scientists, security experts, and product managers to translate research into deployable products.
- Ethical AI Governance: Implement robust guardrails and safety protocols to ensure AI alignment and ethical usage across all platforms.
- System Integration: Integrate emerging quantum computing primitives into classical AI workflows where applicable.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
- Experience: 8+ years of experience in software engineering, with at least 3 years in a senior AI/ML architecture role.
- Technical Stack: Deep proficiency in Python, TensorFlow, PyTorch, and distributed systems (Kubernetes, Docker).
- Specialization: Proven track record of designing systems for LLMs, Computer Vision, or NLP.
- Innovation: Demonstrated ability to research and implement cutting-edge algorithms before they become industry standards.
- Leadership: Experience mentoring junior engineers and leading technical teams through complex architectural transitions.