Job Description
Shape the Future of Technology in 2026
Nexus Future Systems is pioneering the next generation of intelligent computing. As we prepare for the technological landscape of 2026, we are seeking a visionary Senior AI Architect to lead our advanced artificial intelligence initiatives. In this pivotal role, you will design scalable, robust, and ethically sound AI systems that solve complex real-world problems.
We are looking for a thought leader who thrives in ambiguity and has a passion for pushing the boundaries of what is possible in machine learning and neural networks.
Responsibilities
- Define Technical Vision: Architect and lead the technical roadmap for our 2026 AI infrastructure, ensuring scalability, high performance, and future-proofing our solutions.
- Model Development: Design and implement state-of-the-art machine learning models, focusing on deep learning, natural language processing, and generative AI applications.
- Team Leadership: Mentor a high-performing team of data scientists and engineers, fostering a culture of innovation, technical excellence, and continuous learning.
- Stakeholder Collaboration: Translate complex technical concepts into actionable insights for stakeholders, product managers, and executive leadership.
- Optimization & Infrastructure: Continuously monitor, optimize, and fine-tune AI models to improve accuracy, reduce latency, and manage computational costs efficiently.
Qualifications
- Experience: 8+ years of experience in software engineering, machine learning, or data science, with at least 3 years in a senior architectural or lead role.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with cloud platforms (AWS, GCP, or Azure).
- Education: Master’s degree in Computer Science, Data Science, or a related field (PhD preferred).
- System Design: Strong understanding of distributed systems, microservices, large-scale data processing (e.g., Spark, Kafka), and containerization (Docker, Kubernetes).
- Leadership: Demonstrated ability to lead cross-functional teams, drive technical decision-making, and manage high-stakes projects from conception to deployment.