Job Description
Are you ready to architect the cognitive infrastructure of the future? At Horizon Tech Labs, we are not just building software; we are engineering the bridge to 2026. We are seeking a visionary Strategic 2026 AI Infrastructure Lead to spearhead the development of next-generation Artificial General Intelligence (AGI) systems. As we approach the technological horizon of 2026, the convergence of Generative AI, Quantum Computing, and Neural Interfaces demands a new breed of engineering leadership.
In this pivotal role, you will define the architectural blueprint for systems that can learn, reason, and adapt at superhuman scales. You will work at the intersection of theoretical research and scalable production engineering, ensuring our AI solutions are robust, ethical, and future-proof. Join us in shaping the digital consciousness of tomorrow.
Responsibilities
- Architect Next-Gen Systems: Design and implement scalable neural network architectures capable of handling the computational complexity required for AGI deployment in 2026.
- Quantum Integration: Lead the R&D efforts to integrate quantum-resistant cryptographic protocols and quantum computing primitives into our core AI models.
- Neural Interface Optimization: Oversee the development of low-latency APIs and protocols for direct brain-computer interface (BCI) integration.
- Autonomous Agent Swarms: Engineer the distributed framework that allows multiple AI agents to collaborate, negotiate, and execute complex tasks in real-time environments.
- Ethical AI Governance: Establish and enforce strict guidelines for AI safety, bias mitigation, and alignment with human values.
- Talent Development: Mentor a world-class team of researchers and engineers, fostering a culture of innovation and continuous learning.
Qualifications
- Advanced Degree: PhD or Master’s degree in Computer Science, Computational Neuroscience, Mathematics, or a related field.
- Deep Learning Mastery: Extensive experience with deep learning frameworks (PyTorch, JAX, TensorFlow) and a proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR).
- System Architecture: Proven expertise in designing large-scale distributed systems and high-performance computing (HPC) environments.
- Future-Tech Vision: Demonstrated ability to anticipate emerging trends in AI, quantum computing, and synthetic biology.
- Leadership: 5+ years of experience leading engineering teams and managing cross-functional projects from concept to deployment.
- Coding Proficiency: Expert-level proficiency in Python, C++, and Rust.