Job Description
We are on a mission to define the technological landscape of the next decade. As we approach the pivotal year of 2026, Horizon 2026 Labs is seeking a visionary Senior AI Architect to spearhead our research and development initiatives. You will be at the forefront of designing scalable, cutting-edge artificial intelligence systems that will power the next generation of global applications. This is a unique opportunity to shape the roadmap for AGI (Artificial General Intelligence) and lead a team of elite engineers.
Why Join Us?
We are a fast-paced, elite research facility dedicated to solving humanity's hardest problems. You will have the autonomy to innovate, the resources to experiment, and the support of a world-class team.
Responsibilities
- Lead Architectural Vision: Define the technical roadmap and architectural blueprints for Horizon 2026’s core AI systems, specifically targeting 2026 milestones.
- Model Deployment: Oversee the end-to-end lifecycle of machine learning models, from research and training to deployment and optimization at scale.
- System Design: Design robust, fault-tolerant, and high-performance distributed systems capable of handling petabyte-scale data.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams to integrate AI solutions into core product offerings.
- Research & Innovation: Stay ahead of industry trends in AI, NLP, and Computer Vision to implement cutting-edge methodologies.
- Talent Development: Mentor junior architects and engineers, fostering a culture of technical excellence and continuous learning.
- Ethical AI Compliance: Ensure all systems adhere to strict ethical guidelines, safety protocols, and data privacy regulations (GDPR/CCPA).
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field from a top-tier institution.
- Experience: Minimum of 7+ years of professional experience in software engineering, with at least 4 years specifically in AI/ML architecture and system design.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, or JAX; experience with distributed computing frameworks (Kubernetes, Apache Spark).
- Leadership: Proven track record of leading high-performance engineering teams and driving technical strategy from conception to execution.
- Problem Solving: Demonstrated ability to tackle complex, ambiguous problems and deliver innovative solutions under tight deadlines.
- Communication: Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.