Job Description
We are pioneering the next generation of autonomous intelligence. Nexus Horizon Labs is seeking a visionary Future-Ready AI Architect to define the technological roadmap for the year 2026 and beyond. In this pivotal role, you will bridge the gap between theoretical breakthroughs and scalable enterprise solutions, leading a team of elite engineers to build systems that do not just assist humans, but augment them.
If you are obsessed with the future of AI, possess a deep understanding of neural architectures, and want to shape the digital landscape of tomorrow, apply today.
Responsibilities
- Define the 2026 Roadmap: Spearhead the architectural vision for next-generation machine learning models, ensuring scalability, security, and ethical AI compliance.
- System Design: Lead the end-to-end design of complex AI systems, from data ingestion pipelines to inference engines running on quantum-ready hardware.
- Team Leadership: Mentor a diverse team of data scientists and engineers, fostering a culture of innovation and technical excellence.
- Cross-Functional Collaboration: Partner with product managers and stakeholders to translate complex technical concepts into actionable business strategies.
- Performance Optimization: Drive the optimization of model latency and throughput, ensuring real-time decision-making capabilities.
- R&D Strategy: Identify emerging technologies (e.g., Neuromorphic Computing, Synthetic Data) and evaluate their potential for integration into our core stack.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software engineering, with at least 5 years in leading AI/ML architecture and development.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems. Familiarity with Generative AI and Large Language Models (LLMs).
- Innovation Mindset: Proven track record of delivering innovative solutions in a fast-paced, startup-like environment.
- Leadership: Strong track record of managing high-performing engineering teams and driving project success.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.