Job Description
Are you ready to architect the future of humanity? Nexus Horizon Technologies is seeking a visionary Senior AI Architect to spearhead our research initiatives aimed at defining the technological landscape of 2026 and beyond.
In this role, you will not just build systems; you will design the frameworks for Artificial General Intelligence (AGI) and its integration with quantum computing infrastructure. We are looking for a pioneer who understands the trajectory of AI development and can translate futuristic concepts into scalable, robust engineering solutions today.
Why Join Us?
We are a venture-backed unicorn at the forefront of next-gen tech. You will work with a team of PhD researchers, quantum physicists, and ethical AI specialists to solve problems that don't even exist yet.
Responsibilities
- Architect Future-Proof Systems: Design and oversee the implementation of scalable AI architectures capable of supporting the computational demands of 2026 and 2030.
- Lead R&D Initiatives: Direct the research and development of advanced machine learning models, specifically focusing on AGI pathways and human-AI symbiosis.
- Quantum Integration: Bridge the gap between classical AI and emerging quantum computing paradigms to create hybrid systems.
- Strategic Roadmapping: Create long-term technical roadmaps that align with the company's 2026 strategic goals and industry trends.
- Mentorship: Foster a culture of innovation by mentoring junior architects and data scientists.
- Performance Optimization: Push the boundaries of deep learning efficiency to achieve real-time processing on decentralized networks.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field from a top-tier institution.
- Experience: 8+ years of experience in AI/ML engineering, with at least 3 years in a senior leadership or architectural role.
- Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, and experience with high-performance computing (HPC) clusters.
- Future Tech Familiarity: Demonstrated interest or experience in quantum computing, neural architecture search (NAS), or synthetic data generation.
- Communication: Exceptional ability to translate complex technical concepts into actionable business strategies for stakeholders.
- Problem Solving: Ability to navigate ambiguity and solve unstructured problems inherent in cutting-edge AI development.