Job Description
Are you ready to architect the future?
Nebula Core Systems is pioneering the next generation of intelligent infrastructure for the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead the design and implementation of our flagship autonomous systems. If you possess a deep understanding of machine learning paradigms and a passion for solving complex, high-stakes problems, this is your opportunity to shape the trajectory of technology.
In this role, you will be at the forefront of innovation, bridging the gap between theoretical AI research and scalable production environments. You will define the architectural standards for our neural networks and ensure our systems are resilient, ethical, and future-proof.
Responsibilities
- Architect Future-Proof Systems: Design scalable, distributed AI architectures capable of handling next-generation data streams and computational loads.
- Lead R&D Initiatives: Spearhead research into cutting-edge technologies such as Generative AI, Quantum-ready algorithms, and Edge Intelligence.
- Model Optimization: Oversee the end-to-end lifecycle of AI models, from training and fine-tuning to deployment and continuous optimization.
- Technical Strategy: Define technical roadmaps and best practices for AI engineering teams, ensuring alignment with business goals and 2026 vision.
- Mentorship: Cultivate a high-performance engineering culture by mentoring junior developers and senior engineers alike.
- Compliance & Ethics: Ensure all AI implementations adhere to strict ethical guidelines and regulatory standards.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field from a top-tier institution.
- Experience: 8+ years of professional experience in software engineering, with at least 4 years focused on AI/ML architecture.
- Technical Proficiency: Expert-level proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with Large Language Models (LLMs) and transformer architectures is highly preferred.
- Cloud Mastery: Deep understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Problem Solving: Proven track record of solving complex, ambiguous problems with innovative technical solutions.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.