Job Description
Are you ready to architect the future of intelligence? Nexus Horizon Systems is seeking a visionary Lead AI Architect to spearhead our flagship 'Project 2026' initiative. In this pivotal role, you will design the foundational neural architectures that will drive our next generation of autonomous systems and generative AI solutions.
We are not just building software; we are defining the technological landscape of the next decade. You will be at the helm of a high-performance team, bridging the gap between theoretical research and scalable production deployment. Join us in shaping the ethical, efficient, and transformative technologies of tomorrow.
Why Join Us?
- Impactful Work: Directly influence the roadmap of our most ambitious project.
- Competitive Compensation: Top-tier salary and equity packages.
- Flexible Environment: Hybrid work model in the heart of Silicon Valley.
Responsibilities
- Architect and design the core infrastructure for the Project 2026 AI ecosystem, ensuring scalability and fault tolerance.
- Lead a multidisciplinary team of data scientists, ML engineers, and researchers to deliver high-impact AI models.
- Define technical strategy, best practices, and standards for machine learning operations (MLOps) and model governance.
- Collaborate with product and engineering leadership to translate business requirements into technical blueprints.
- Optimize existing models for speed, accuracy, and resource efficiency in real-world scenarios.
- Stay ahead of industry trends in Large Language Models (LLMs) and edge computing.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field (or equivalent experience).
- 10+ years of experience in machine learning, AI engineering, or a similar technical leadership role.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Proven track record of deploying production-ready AI systems at scale.
- Strong understanding of MLOps pipelines, data engineering, and cloud architecture (AWS/GCP/Azure).
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.