Job Description
Are you ready to architect the future? Nexus Horizon Technologies is seeking a visionary Lead AI Architect to spearhead our groundbreaking Project 2026 initiative.
At Nexus Horizon, we don't just predict the future; we build it. We are looking for a pioneer to lead our strategic technology roadmap, defining the AI capabilities that will define the next generation of enterprise solutions. You will be at the intersection of advanced machine learning, scalable cloud architecture, and long-term strategic foresight.
Why Join Us?
- Work on a Project 2026 roadmap that sets industry standards.
- Collaborate with top-tier engineers in a high-impact environment.
- Competitive compensation and equity packages for key contributors.
If you have a passion for pushing the boundaries of what's possible in AI and want to leave a lasting legacy, we want to hear from you.
Responsibilities
- Define the comprehensive technical roadmap and architectural vision for the Project 2026 ecosystem.
- Design and deploy scalable, fault-tolerant machine learning pipelines and large-scale neural networks.
- Lead a cross-functional team of data scientists and ML engineers to translate strategic goals into technical execution.
- Optimize existing AI models for edge computing and real-time inference environments.
- Establish and enforce best practices for MLOps, data governance, and model deployment.
- Conduct rigorous research into emerging AI paradigms to stay ahead of the 2026 curve.
- Partner with product leadership to ensure technical solutions align with long-term business objectives.
Qualifications
- Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
- 10+ years of experience in software engineering, with at least 5 years specializing in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and modern MLOps tools.
- Proven track record of leading complex, high-visibility projects from concept to production.
- Extensive experience with Large Language Models (LLMs), Transformers, and Generative AI technologies.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and distributed systems.
- Excellent leadership and communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.