Job Description
We are seeking a visionary Senior AI Architect to lead our research initiatives aimed at defining the technological landscape for the year 2026 and beyond. Nexus Future Labs is at the forefront of integrating generative AI with ethical frameworks to solve complex global challenges. You will be responsible for designing scalable, resilient systems that push the boundaries of what is possible in artificial intelligence.
In this role, you will bridge the gap between theoretical research and practical application, ensuring our models are not only powerful but also responsible and accessible. Join a team of elite engineers and scientists dedicated to building the infrastructure of tomorrow.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable machine learning architectures capable of processing petabytes of data in real-time.
- Lead Research & Development: Spearhead R&D projects focusing on Large Language Models (LLMs), Computer Vision, and autonomous agents.
- Model Optimization: Oversee the fine-tuning, deployment, and optimization of AI models to ensure high performance and low latency.
- Ethical AI Governance: Establish guidelines and best practices to ensure AI fairness, transparency, and safety.
- Technical Mentorship: Guide junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Collaboration: Work closely with product teams to translate complex technical concepts into user-centric solutions.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
- Experience: 8+ years of professional experience in software engineering or data science, with at least 3 years in a senior architecture role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX; deep understanding of distributed systems.
- Domain Knowledge: Proven track record in deploying production-ready AI models and NLP applications.
- Leadership: Strong ability to lead cross-functional teams and communicate complex technical strategies to stakeholders.
- Problem Solving: Demonstrated ability to tackle ambiguous problems and innovate under pressure.