Job Description
Are you ready to architect the future? Nexus Future Systems is seeking a visionary Senior AI Systems Architect to lead the development of scalable, generative AI infrastructure designed for the year 2026 and beyond.
In this pivotal role, you won't just be maintaining legacy systems; you will be building the foundational technology stack that will power the next generation of intelligent applications. We are looking for a thought leader who thrives on ambiguity and has a passion for pushing the boundaries of what is possible in machine learning and cloud computing.
Join a team of elite engineers and researchers dedicated to solving humanity's most complex challenges through advanced artificial intelligence.
Responsibilities
- Design and deploy high-availability, distributed AI infrastructure capable of handling petabyte-scale data processing.
- Lead architectural strategy for next-generation Large Language Models (LLMs) and generative AI agents.
- Collaborate with cross-functional teams to define the technical roadmap for 2026 innovation.
- Optimize model training pipelines for speed and efficiency, reducing inference costs by 40%.
- Establish best practices for MLOps, ensuring reproducibility and scalability of AI models.
- Mentor junior engineers and foster a culture of technical excellence and continuous learning.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
- 7+ years of experience in software engineering, with 3+ years specifically focused on AI/ML systems architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Strong understanding of neural network architectures, transformers, and optimization techniques.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.