Job Description
Are you ready to define the future of technology?
Nexus Future Systems is pioneering the integration of advanced Artificial Intelligence into critical infrastructure. As we approach our strategic launch in 2026, we are seeking a visionary Senior AI Architect to lead the technical design and implementation of our flagship autonomous systems. This is not just a job; it is a mission to bridge the gap between current capabilities and the limitless potential of the 2026 landscape.
In this role, you will architect scalable machine learning pipelines, optimize neural networks for edge computing, and guide a talented team of engineers toward a unified technological vision. If you thrive in high-pressure environments and want to leave a lasting impact on the industry, we want to meet you.
Responsibilities
- Lead the 2026 Technical Roadmap: Define the architectural vision and technical milestones for our 2026 product release, ensuring alignment with business goals and market trends.
- System Architecture: Design robust, fault-tolerant, and scalable AI infrastructure capable of handling millions of data points in real-time.
- Model Optimization: Lead initiatives to optimize deep learning models for reduced latency and increased inference speed on heterogeneous hardware.
- Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation, technical excellence, and continuous learning.
- Cross-Functional Collaboration: Work closely with product managers, researchers, and stakeholders to translate complex requirements into actionable technical solutions.
- Research & Development: Stay ahead of the curve by researching emerging AI paradigms, including Large Language Models (LLMs) and reinforcement learning.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: Minimum of 8+ years of experience in software engineering, with at least 5 years specifically focused on AI/ML architecture.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and C++. Experience with GPU programming (CUDA) and distributed computing frameworks.
- Leadership: Proven track record of leading high-performance engineering teams and delivering complex systems on time.
- Problem Solving: Exceptional ability to troubleshoot complex architectural issues and design scalable solutions for ambiguous problems.
- Communication: Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders.