Job Description
Are you ready to build the world of tomorrow? Horizon Nexus Labs is seeking a visionary Lead Architect to spearhead our advanced AI infrastructure projects leading into 2026 and beyond.
In this pivotal role, you will define the technical roadmap for next-generation artificial intelligence systems. We are not just building software; we are architecting the cognitive layer of the digital ecosystem. If you are passionate about pushing the boundaries of what is possible with Generative AI, Quantum Computing integration, and Ethical Machine Learning, this is your chance to lead the charge.
Why Join Us?
- Future-First Technology: Work with cutting-edge tools designed for the post-AGI era.
- Global Impact: Your work will directly influence the trajectory of human-machine collaboration.
- Elite Team: Collaborate with PhDs, researchers, and industry pioneers.
Responsibilities
- Architect Next-Gen Systems: Design scalable, fault-tolerant neural architectures capable of handling exabyte-scale data processing for 2026 applications.
- Quantum Integration: Lead the research and implementation of hybrid quantum-classical algorithms to solve complex optimization problems.
- AGI Alignment: Develop safety protocols and ethical guardrails to ensure advanced AI systems remain beneficial and aligned with human values.
- Technical Vision: Define the long-term technical strategy for our AI R&D department, anticipating trends in autonomous agents and spatial computing.
- Team Leadership: Mentor a high-performing team of ML engineers and data scientists, fostering a culture of innovation and continuous learning.
- Cross-Functional Collaboration: Partner with product, security, and legal teams to integrate AI capabilities into consumer and enterprise products seamlessly.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field (or equivalent extensive industry experience).
- Experience: 8+ years of experience in software engineering and machine learning, with at least 3 years in a senior or leadership capacity.
- Core Tech: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, Docker).
- Emerging Tech: Familiarity with quantum computing frameworks (Qiskit, Cirq) or neuromorphic computing is highly preferred.
- AI Specialization: Proven track record of implementing Large Language Models (LLMs) and Generative AI solutions at scale.
- Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts for non-technical stakeholders.