Job Description
We are pioneering the next generation of intelligent infrastructure. Nexus Horizon Systems is currently seeking a visionary Senior AI Architect to spearhead our flagship initiative, Project 2026. In this pivotal role, you will define the architectural blueprints for systems that will define the decade ahead.
Our mission is to bridge the gap between current capabilities and the anticipated needs of the year 2026 and beyond. We are looking for a technical leader who is not only proficient in modern machine learning stacks but also capable of envisioning solutions for future scalability and stability. If you possess a deep understanding of AI infrastructure and a passion for building resilient, future-proof ecosystems, we want to hear from you.
Why Join Us?
- Work on cutting-edge AI infrastructure that shapes the future.
- Competitive compensation and comprehensive benefits package.
- Flexible remote and hybrid work options.
- Opportunity to lead a high-impact team of engineers and data scientists.
Responsibilities
- Architect Design: Lead the architectural design and implementation of scalable AI models and infrastructure for Project 2026, ensuring high availability and low latency.
- Team Leadership: Mentor and guide a diverse team of data scientists and software engineers, fostering a culture of innovation and technical excellence.
- Technical Roadmap: Define the technical roadmap for AI initiatives, ensuring alignment with long-term business objectives and industry standards.
- System Optimization: Conduct rigorous testing and validation of systems to ensure they meet future compliance standards and performance benchmarks.
- Cross-Functional Collaboration: Partner with product managers, security experts, and stakeholders to translate complex requirements into robust technical solutions.
- Research Integration: Stay ahead of emerging trends in artificial intelligence, distributed systems, and edge computing to integrate relevant advancements into our projects.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
- Experience: 5+ years of experience designing large-scale distributed systems and AI architectures.
- Programming: Proficiency in Python, TensorFlow, PyTorch, and modern cloud-native technologies (AWS, Azure, or GCP).
- Technical Skills: Strong understanding of neural network optimization, model deployment strategies, and edge computing principles.
- Soft Skills: Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
- Problem Solving: Demonstrated ability to troubleshoot complex system failures and architect resilient solutions.