Job Description
We are seeking a visionary Senior AI Architect to lead our Project 2026 initiative. As we prepare to redefine the future of generative intelligence, you will be responsible for architecting the core infrastructure that powers our next-generation neural networks. This is a high-impact role for a leader who thrives on complexity and is passionate about building scalable, ethical, and high-performance AI systems.
Why Join Nexus Horizon?
- Be at the Forefront: Work on cutting-edge technology that sets the standard for 2026 and beyond.
- Competitive Package: Industry-leading salary, equity options, and comprehensive benefits.
- Flexible Culture: Embrace a remote-first culture with a collaborative, inclusive environment.
Responsibilities
- Architecture Design: Design and implement scalable, fault-tolerant AI infrastructure capable of handling petabyte-scale data processing.
- Model Optimization: Lead the research and deployment of large language models (LLMs) and transformer architectures, focusing on latency reduction and inference efficiency.
- Team Leadership: Mentor a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Strategic Roadmapping: Define the technical roadmap for Project 2026, aligning AI capabilities with business goals and long-term vision.
- Security & Compliance: Ensure all AI systems adhere to rigorous security standards, data privacy regulations (GDPR/CCPA), and ethical AI guidelines.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
- Experience: 7+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Kubernetes, Apache Spark).
- System Design: Deep understanding of cloud architecture (AWS/GCP/Azure) and microservices design patterns.
- Soft Skills: Exceptional communication skills, with the ability to translate complex technical concepts to non-technical stakeholders.