Job Description
Are you ready to define the future of intelligence? Nexus Horizon AI is at the forefront of the next technological revolution. We are seeking a visionary AI Architect to lead our strategic roadmap through 2026 and beyond. In this role, you won't just maintain systems; you will architect the very fabric of our next-generation machine learning infrastructure.
As we prepare for the paradigm shift of 2026, we need a leader who understands the convergence of Generative AI, Quantum Computing, and Ethical Frameworks. If you thrive in ambiguity and possess the technical prowess to build scalable, secure, and innovative solutions, we want to meet you.
Why Join Us?
- Shape the roadmap for the next major AI breakthrough.
- Work with a world-class team of researchers and engineers.
- Competitive compensation package and equity.
Ready to architect the future? Apply today.
Responsibilities
- Strategic Roadmap Planning: Define and lead the technical architecture for our 2026 product vision, ensuring alignment with business goals and emerging tech trends.
- System Design: Design robust, scalable, and fault-tolerant distributed systems for Large Language Models (LLMs) and neural networks.
- Leadership & Mentorship: Guide a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Technical Governance: Establish best practices for coding, deployment, and model evaluation to ensure high-quality production environments.
- Stakeholder Collaboration: Bridge the gap between technical teams and executive leadership, translating complex concepts into actionable strategies.
Qualifications
- Experience: 7+ years of experience in software engineering, with at least 3 years in a lead architecture role within AI/ML.
- Education: Master’s degree or Ph.D. in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with cloud platforms (AWS/Azure/GCP) is essential.
- Future-Forward Knowledge: Strong understanding of Generative AI, Transformers, and the potential integration of quantum algorithms by 2026.
- Soft Skills: Exceptional communication skills, with the ability to articulate complex technical architectures to non-technical stakeholders.