Job Description
Join the Visionaries of Tomorrow
We are seeking a visionary Senior AI Architect to spearhead our R&D division, specifically tasked with architecting the technological infrastructure for the year 2026 and beyond. If you are passionate about pushing the boundaries of Generative AI, Large Language Models (LLMs), and Quantum Computing applications, Nexus Future Labs is the place where your work will define the future of human-machine interaction.
Why Join Us?
We offer a competitive package, equity packages, and the opportunity to work on mission-critical projects that will shape the global technological landscape. You will work in a collaborative environment with industry pioneers, access to cutting-edge hardware, and a culture that rewards innovation over routine.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable, high-performance AI architectures capable of handling petabyte-scale data streams for 2026 applications.
- Lead Research & Development: Spearhead internal research projects focusing on Neural Networks, Reinforcement Learning, and predictive analytics models.
- Model Optimization: Oversee the fine-tuning and optimization of Large Language Models to ensure efficiency and accuracy in real-world deployment scenarios.
- Technical Strategy: Define the long-term technical roadmap for our AI division, aligning engineering capabilities with business goals and future market trends.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and software engineers to integrate AI solutions into core business platforms seamlessly.
- Patent & Publication Strategy: Lead the initiative to publish groundbreaking research and secure patents for novel algorithms and methodologies.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, Physics, or a related field with a focus on Artificial Intelligence.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Apache Spark, Kubernetes).
- Experience: Minimum of 7+ years of experience in AI/ML engineering, with at least 2 years in a senior leadership or architectural role.
- Language Models: Demonstrated experience in training, fine-tuning, and deploying LLMs such as GPT, BERT, or custom foundation models.
- Problem Solving: Proven track record of solving complex, unstructured problems and optimizing algorithms for performance and latency.
- Leadership: Strong mentorship skills with a history of leading high-performing engineering teams and fostering a culture of innovation.