Job Description
Are you ready to define the future of technology? Nexus Horizon is seeking a visionary Lead AI Architect to spearhead our next-generation initiatives for the 2026 roadmap. In this pivotal role, you will bridge the gap between theoretical innovation and practical application, architecting systems that will power the next decade of intelligent automation.
Join a team of elite engineers and strategists dedicated to pushing the boundaries of what is possible with Artificial Intelligence, Machine Learning, and Generative Models.
Why Nexus Horizon?
- Work on cutting-edge projects that define industry standards.
- Competitive compensation package with equity options.
- Flexible remote-first culture with premium NYC amenities.
Responsibilities
- System Architecture: Design and deploy scalable AI infrastructure tailored for high-volume generative models and autonomous agents.
- Strategic Leadership: Guide a team of ML engineers in translating business goals into technical roadmaps for the 2026 fiscal year.
- Model Optimization: Fine-tune Large Language Models (LLMs) to ensure peak performance, low latency, and high accuracy.
- Ethical AI: Implement rigorous safety protocols, bias mitigation strategies, and explainable AI (XAI) frameworks across all touchpoints.
- Innovation: Explore emerging technologies including quantum computing interfaces and neuromorphic engineering applications.
- Stakeholder Management: Collaborate with product and engineering leaders to define technical specifications and deliverables.
Qualifications
- Experience: 5+ years of experience in software engineering with a deep focus on Artificial Intelligence and Machine Learning.
- Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure).
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
- Soft Skills: Exceptional communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Future-Ready Mindset: Deep understanding of the AI landscape expected in 2026, including predictive analytics and automated decision systems.