Job Description
We are at the forefront of the technological revolution, and we are looking for a visionary Senior AI Architect to lead our 2026 strategic roadmap. This is a unique opportunity to shape the infrastructure of the future, designing intelligent systems that will define the next generation of digital interaction.
In this role, you will bridge the gap between cutting-edge AI research and scalable production engineering. You will architect robust, high-performance machine learning pipelines that power our core products, ensuring they are resilient, efficient, and ready for global deployment. If you are passionate about the future of technology and want to leave a lasting impact, this is the place for you.
Why Join Us?
We offer a competitive compensation package, comprehensive benefits, and a culture that prioritizes innovation, autonomy, and professional growth. Be part of a team that is not just keeping up with the future, but creating it.
Responsibilities
- Design and implement scalable AI/ML infrastructure pipelines tailored for the 2026 product ecosystem.
- Lead architectural decisions to ensure system high availability, fault tolerance, and low latency.
- Collaborate with product managers and data scientists to define technical requirements and roadmap milestones.
- Mentor junior engineers and conduct rigorous code reviews to maintain the highest engineering standards.
- Optimize existing models for performance, cost-efficiency, and energy consumption in production environments.
- Stay abreast of the latest advancements in AI, deep learning, and cloud technologies to drive innovation.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in AI/ML infrastructure and architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and modern deep learning frameworks.
- Proven experience deploying large-scale ML models on major cloud platforms (AWS, GCP, or Azure).
- Strong understanding of distributed systems, microservices architecture, and containerization (Kubernetes, Docker).
- Master’s degree in Computer Science, Mathematics, or a related technical field (PhD preferred).