Job Description
Are you ready to define the trajectory of artificial intelligence for the next decade? Nexus Horizon is searching for a visionary Senior AI Architect to spearhead our 2026 strategic roadmap. In this pivotal role, you won't just write code; you will architect the very foundations of our next-generation neural systems. If you thrive in a fast-paced, high-impact environment and are passionate about the future of tech, we want to hear from you.
At Nexus Horizon, we believe in pushing boundaries. Our mission is to bridge the gap between current capabilities and the revolutionary potential of 2026 and beyond. As a Senior Architect, you will be the technical voice of our vision, ensuring our solutions are scalable, secure, and future-proof.
Why Join Us?
- Work on cutting-edge Generative AI and Large Language Models.
- Competitive compensation package with equity options.
- Flexible remote-first culture with premium benefits.
- Collaborate with industry-leading experts in AI research.
Responsibilities
- Lead Strategic AI Development: Own the architectural design and implementation of our core AI infrastructure, specifically targeting the 2026 product release cycle.
- Model Optimization: Design and optimize neural networks to achieve sub-millisecond inference times on cloud-scale deployments.
- Tech Stack Governance: Establish and enforce coding standards and architectural patterns to ensure maintainability and scalability across teams.
- Research & Innovation: Stay ahead of the curve by evaluating emerging technologies (e.g., Quantum Computing integration, Neuromorphic chips) and integrating them into our roadmap.
- Cross-Functional Leadership: Collaborate with product managers, data scientists, and engineering leads to translate business goals into technical roadmaps.
- Performance Monitoring: Implement rigorous monitoring and A/B testing strategies to continuously improve model accuracy and user engagement.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 8+ years of professional experience in software engineering, with at least 5 years focused on Artificial Intelligence and Machine Learning systems.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Docker).
- Architectural Skills: Proven track record of designing scalable, fault-tolerant systems for high-traffic applications.
- Strategic Thinking: Ability to think 5+ years into the future and align technical architecture with long-term business objectives.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.