Job Description
We are looking for a visionary Senior AI Architect to shape the technology landscape of 2026. Nexus Horizon Systems is at the forefront of the next industrial revolution, and we need a leader to architect the scalable, ethical, and robust infrastructure required for the future of Artificial General Intelligence (AGI).
In this role, you will bridge the gap between theoretical AI research and production-grade engineering. You will lead a team of elite engineers in deploying next-generation Large Language Models (LLMs) and autonomous agents. If you are passionate about the future and have a track record of building systems that scale to millions of users, we want to hear from you.
Why Join Us?
- Future-Proof Role: Directly influence the roadmap for 2026 and beyond.
- Top-Tier Compensation: Competitive salary and equity package.
- Global Impact: Work on projects that define the next era of technology.
Ready to build the future? Apply today.
Responsibilities
- Design and architect scalable AI infrastructure capable of handling petabyte-scale data and real-time inference.
- Lead Research and Development (R&D) initiatives focused on the 2026 strategic roadmap, including agentic workflows and multimodal AI.
- Optimize existing machine learning pipelines to improve latency, throughput, and cost-efficiency.
- Establish best practices for model governance, bias mitigation, and ethical AI deployment.
- Collaborate with product managers and data scientists to translate complex business requirements into technical architectures.
- Mentor junior engineers and senior developers, fostering a culture of continuous learning and innovation.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Master’s degree in Computer Science, Mathematics, or a related technical field (PhD preferred).
- Deep expertise in Python, TensorFlow, PyTorch, and Hugging Face ecosystem.
- Proven experience designing distributed systems using Kubernetes, Docker, and cloud platforms (AWS, GCP, or Azure).
- Strong background in Large Language Models (LLMs), fine-tuning, and RAG (Retrieval-Augmented Generation).
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.