Job Description
Join the Architects of the Future.
Nexus AI Labs is seeking a visionary Senior AI Architect to spearhead our 2026 strategic roadmap. We are building the infrastructure for the next generation of autonomous intelligent systems. If you want to move beyond traditional machine learning and define the standards for AGI (Artificial General Intelligence) evolution, this is your opportunity.
In this role, you will bridge the gap between theoretical research and production-grade engineering. You will design scalable architectures for large language models (LLMs), autonomous agents, and predictive neural networks. We are looking for a leader who is not just proficient in current tools, but who can anticipate the technological shifts of 2026 and beyond.
Why Join Us?
- Impact: Directly influence the core architecture of the world's next major AI platform.
- Roadmap: Work on cutting-edge initiatives defined for the 2026 horizon.
- Culture: A premium, high-performance environment focused on innovation and autonomy.
Responsibilities
- Architect 2026 Roadmap: Lead the architectural design and implementation of core AI services, specifically focusing on next-generation LLM orchestration and autonomous agent frameworks.
- System Optimization: Design high-throughput, low-latency inference pipelines capable of handling millions of concurrent requests.
- Research Integration: Translate theoretical research papers into robust, production-ready code and infrastructure.
- Team Leadership: Mentor senior engineers and architects, fostering a culture of technical excellence and continuous learning.
- Scalability Strategy: Define strategies for data pipeline scalability, model fine-tuning, and edge deployment.
- Security & Compliance: Implement rigorous security protocols for training and deploying sensitive AI models.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically focused on Machine Learning, Deep Learning, or AI architecture.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep understanding of distributed systems, microservices, and cloud infrastructure (AWS/GCP/Azure).
- Specialization: Proven experience designing and deploying Large Language Models (LLMs) or Generative AI systems.
- Problem Solving: Demonstrated ability to solve complex algorithmic challenges and optimize model performance.
- Leadership: Strong track record of leading cross-functional teams and driving technical roadmaps.