Job Description
Nexus Future Labs is on a mission to architect the intelligence layer of the digital world. We are seeking a visionary Lead AI Architect to spearhead our initiatives for the 2026 era. You will be responsible for designing the neural architectures and computational frameworks that will define the next generation of autonomous systems.
In this role, you will bridge the gap between theoretical AI research and production-grade engineering. You will work with a world-class team of data scientists and engineers to build systems that are not just smart, but adaptable, ethical, and scalable.
Why Join Us?
• Work on cutting-edge Generative AI and AGI infrastructure.
• Competitive compensation and equity packages.
• Remote-first culture with state-of-the-art equipment.
Responsibilities
- Design and deploy scalable neural network architectures for Large Language Models (LLMs) and multimodal systems.
- Optimize model inference for edge computing and high-performance server environments.
- Lead the architecture of MLOps pipelines to ensure robust model lifecycle management.
- Establish best practices for ethical AI, bias mitigation, and data governance.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer products.
- Mentor junior engineers and data scientists, fostering a culture of innovation.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
- 5+ years of professional experience in AI/ML engineering, with at least 2 years in a lead or architect role.
- Deep expertise in Python, PyTorch, TensorFlow, and CUDA.
- Proven experience deploying models to production using Kubernetes and cloud platforms (AWS/GCP).
- Strong understanding of transformer models, attention mechanisms, and vector databases.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.