Job Description
We are looking for a visionary Senior AI Architect to lead the development of next-generation autonomous systems and Generative AI solutions. As we chart our course for the 2026 technology landscape, you will be at the forefront of designing scalable, ethical, and high-performance AI infrastructure that powers the future of enterprise automation.
In this role, you will bridge the gap between theoretical machine learning advancements and practical, real-world implementation, ensuring our products remain cutting-edge in a rapidly evolving ecosystem.
Responsibilities
- Architect and design scalable, fault-tolerant machine learning pipelines and AI models focused on 2026-era requirements.
- Lead the research and implementation of Generative AI (LLMs, diffusion models) to enhance product capabilities.
- Optimize model inference performance and reduce computational overhead for edge and cloud deployments.
- Define technical roadmaps for AI integration, aligning with long-term business goals and 2026 strategic visions.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to drive innovation.
- Establish best practices for MLOps, including CI/CD for machine learning, monitoring, and automated retraining.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of professional experience in software engineering, with at least 5 years focused on AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks.
- Proven experience deploying Large Language Models (LLMs) and managing vector databases.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
- Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.