Job Description
We are seeking a visionary Senior AI Architect (2026 Vision) to lead the next generation of artificial intelligence infrastructure. As we race towards the technological milestones of 2026, you will be responsible for designing scalable, robust, and efficient machine learning pipelines that power our next-gen generative models.
In this high-impact role, you will bridge the gap between theoretical research and production-grade engineering, ensuring our systems are not only state-of-the-art today but are built to scale for the AI revolutions of tomorrow.
Responsibilities
- Architect Scalable ML Pipelines: Design and implement end-to-end machine learning architectures capable of handling petabyte-scale data with low latency.
- Lead Research Integration: Translate cutting-edge research papers into deployable production code, specifically focusing on LLM fine-tuning and multimodal systems.
- Optimize Compute Infrastructure: Engineer solutions that maximize GPU/TPU utilization and reduce inference costs across distributed clusters.
- Define Technical Strategy: Set the architectural roadmap for AI systems, ensuring alignment with long-term product goals and ethical AI guidelines.
- Collaborate Cross-Functionally: Work closely with data scientists, product managers, and software engineers to deliver AI features that delight users.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related quantitative field.
- Experience: 5+ years of professional experience in machine learning engineering or AI architecture.
- Programming: Expert-level proficiency in Python, C++, and deep learning frameworks (PyTorch, TensorFlow, JAX).
- System Design: Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and high-performance computing.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems in the realm of generative AI and large language models.