Job Description
We are building the infrastructure for the future. As a Lead AI Architect, you will define the technical roadmap for our flagship 2026 product suite. This is a rare opportunity to shape the trajectory of autonomous systems and predictive analytics in a high-impact environment.
We are seeking a visionary engineer who is not just proficient in current technologies but is already envisioning the paradigms of the 2026 landscape. You will be at the forefront of integrating next-generation Generative AI with Edge Computing to deliver real-time, hyper-personalized solutions.
Join us in revolutionizing how industries interact with intelligent systems.
Responsibilities
- Architect and deploy state-of-the-art Machine Learning models tailored for the 2026 market landscape.
- Lead a team of data scientists and engineers in researching emerging paradigms in Neural Networks and Large Language Models (LLMs).
- Collaborate with cross-functional product teams to translate complex technical concepts into scalable, user-centric features.
- Optimize existing data pipelines for reduced latency, increased throughput, and energy efficiency.
- Establish best practices for model monitoring, versioning, and ethical AI deployment.
- Stay ahead of the curve by evaluating and integrating cutting-edge frameworks and libraries.
- Drive technical decision-making for the long-term scalability of our 2026 roadmap.
Qualifications
- Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- Proven experience (7+ years) in designing and deploying production-level AI systems at scale.
- Deep expertise in Python, PyTorch, TensorFlow, and Scikit-learn.
- Strong proficiency in cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Experience with MLOps, CI/CD pipelines, and data orchestration tools (Airflow, Prefect).
- Strong understanding of ethical AI, bias mitigation, and responsible machine learning deployment.