Job Description
Are you ready to define the technology landscape for 2026 and beyond? Horizon Nexus is seeking a visionary Senior AI Architect to lead our cutting-edge research division.
In this role, you won't just be building software; you will be architecting the intelligence that will power the next generation of global enterprises. We are looking for a thought leader who is obsessed with the intersection of Generative AI, Predictive Modeling, and Ethical Computing.
Why Join Horizon Nexus?
We are building the infrastructure for the future. Our team is dedicated to pushing the boundaries of what is possible with Artificial General Intelligence (AGI) and next-gen neural networks. You will have the autonomy to experiment, the resources to innovate, and the impact to change the world.
Responsibilities
- Architect Future-Ready Systems: Design and deploy scalable AI infrastructures optimized for 2026 and beyond, focusing on low-latency processing and massive scalability.
- Lead R&D Initiatives: Spearhead research in Large Language Models (LLMs), Multimodal AI, and autonomous agents to solve complex, unsolved problems.
- Strategic Implementation: Translate high-level technical concepts into concrete architectural blueprints and guide engineering teams through execution.
- Ethical AI Governance: Establish robust frameworks for AI safety, bias mitigation, and responsible deployment in sensitive environments.
- Cross-Functional Collaboration: Partner with product managers, designers, and business stakeholders to align AI capabilities with organizational goals.
- Talent Development: Mentor junior architects and data scientists, fostering a culture of continuous learning and technical excellence.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience: 10+ years of experience in software engineering, with at least 5 years focused on AI/ML architecture.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, Docker).
- Problem Solving: Proven track record of delivering production-ready AI products that handle millions of transactions and complex data patterns.
- Strategic Vision: Strong understanding of the ethical implications of AI and the ability to anticipate future trends in technology.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.