Job Description
We are building the operating system for the next decade. Nexus Future Tech is seeking a visionary Senior AI Architect to lead the development of the generative intelligence systems that will define the landscape of 2026. You will be responsible for designing scalable, secure, and high-performance machine learning infrastructure that powers our core product suite.
In this role, you will bridge the gap between theoretical research and production deployment, ensuring our AI solutions are robust, ethical, and future-proof. If you are passionate about the trajectory of AI and want to architect the technologies of tomorrow, we want to hear from you.
Responsibilities
- Architect Design: Design and implement end-to-end machine learning pipelines and infrastructure using cloud-native technologies (AWS/GCP).
- LLM Strategy: Lead the research and integration of Large Language Models (LLMs) and Agentic AI workflows to enhance product capabilities.
- System Optimization: Optimize model inference speeds and reduce latency to ensure real-time user experiences.
- Team Leadership: Mentor a team of ML engineers and data scientists, fostering a culture of innovation and technical excellence.
- R&D Collaboration: Partner with product and research teams to define technical roadmaps for upcoming features.
- Best Practices: Establish and enforce coding standards, security protocols, and deployment strategies (CI/CD).
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field (or equivalent industry experience).
- Experience: 7+ years of experience in software engineering, with at least 3 years in a senior AI/ML architecture role.
- Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
- Cloud Mastery: Extensive experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
- Model Ops: Strong background in MLOps, model versioning, and A/B testing frameworks.
- Problem Solving: Proven track record of solving complex technical challenges in high-scale environments.