Job Description
We are pioneering the next generation of artificial intelligence, specifically focused on the breakthrough technologies expected to define the year 2026. Nexus Future Systems is seeking a visionary Lead AI Architect to design scalable, robust, and ethical neural architectures that will power the next decade of digital transformation.
In this role, you won't just maintain existing systems; you will architect the future. You will lead a team of world-class researchers and engineers, pushing the boundaries of Generative AI, Large Language Models, and Autonomous Agents. If you are passionate about the technological horizon and want to build the infrastructure for tomorrow, apply today.
Responsibilities
- Architect Future-Proof AI Solutions: Design and implement high-performance, scalable machine learning pipelines capable of handling petabyte-scale data streams.
- Lead R&D Strategy: Define the technical roadmap for AI capabilities, identifying emerging trends in 2026 to maintain a competitive edge.
- Model Optimization: Lead efforts in model pruning, quantization, and inference optimization to ensure real-time performance on edge devices and cloud environments.
- Mentorship: Guide a diverse team of AI engineers and data scientists, fostering a culture of innovation, technical excellence, and continuous learning.
- Collaboration: Work closely with product managers and stakeholders to translate complex technical concepts into actionable business strategies.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- Experience: Minimum of 7 years of professional experience in AI/ML engineering, with at least 3 years in a leadership or architect role.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- System Design: Proven track record of designing distributed systems and microservices architectures for AI workloads.
- Innovation: Demonstrated ability to innovate in the face of complex problems and stay ahead of rapid technological shifts.