Job Description
We are at the precipice of a technological renaissance. Nexus Future Labs is seeking a visionary Future Tech AI Architect (Class of 2026) to lead our R&D division. In this role, you will not only build scalable machine learning models but also define the architectural standards for the AI-driven world of tomorrow.
Your mission is to bridge the gap between theoretical breakthroughs and practical application, ensuring our solutions are robust, ethical, and ready for the next generation of computing.
Responsibilities
- Architect Next-Gen AI Systems: Design and deploy scalable machine learning pipelines and neural network architectures optimized for 2026-era hardware.
- Lead Research & Development: Spearhead experimental projects in Generative AI, Quantum Computing interfaces, and Edge AI to stay ahead of market trends.
- Optimize Performance: Engineer high-performance codebases using Python, PyTorch, and TensorFlow to handle massive data throughput.
- Technical Mentorship: Guide a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Strategic Roadmapping: Collaborate with C-level executives to define the 5-year technical roadmap for the company's core products.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of experience in software engineering, with at least 3 years focused on deep learning and AI model deployment.
- Technical Proficiency: Expert-level knowledge of Python, C++, and distributed systems. Proficiency in cloud platforms (AWS/GCP/Azure).
- Frameworks: Extensive experience with PyTorch, TensorFlow, or JAX.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems in unstructured environments.
- Leadership: Proven track record of leading high-performing engineering teams.