Job Description
We are seeking a visionary Senior AI Architect to spearhead the architectural design of our next-generation AI systems. As a key player in our 2026 roadmap, you will define the core infrastructure that powers our autonomous agents and predictive analytics engines.
In this role, you will bridge the gap between theoretical research and production-grade systems, ensuring scalability, security, and ethical AI deployment.
Responsibilities
- System Design: Lead the end-to-end design of scalable AI infrastructure, including neural network architectures and cloud-native deployment strategies.
- R&D Leadership: Drive research initiatives focused on emerging technologies, specifically Large Language Models (LLMs) and generative AI for 2026.
- Team Mentorship: Mentor a team of data scientists and ML engineers, fostering a culture of innovation and technical excellence.
- Strategic Planning: Define technical roadmaps and align AI capabilities with business objectives to deliver competitive advantages.
- Performance Optimization: Oversee the optimization of model inference speeds and reduce latency in high-traffic environments.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in machine learning engineering, with at least 3 years in a senior architectural or leadership role.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
- Architecture: Proven track record designing large-scale systems using AWS, GCP, or Azure.
- Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts for non-technical stakeholders.