Job Description
We are pioneering the next generation of intelligent systems designed to thrive in the technological landscape of 2026. As a Senior AI Architect, you won't just build models; you will architect the future infrastructure required to support the next wave of generative AI, autonomous agents, and predictive analytics.
In this role, you will bridge the gap between theoretical breakthroughs and scalable production systems. We need a visionary who is obsessed with optimization, security, and ethical AI implementation.
Responsibilities
- Lead the architectural design of scalable AI infrastructure ready for 2026 standards, including LLM optimization and MLOps pipelines.
- Define the technical roadmap for integrating emerging technologies (e.g., Quantum-ready algorithms, Edge AI) into our core platform.
- Collaborate with cross-functional teams to translate business requirements into cutting-edge technical solutions.
- Oversee the deployment and maintenance of deep learning models, ensuring high availability and low latency.
- Establish best practices for data governance and model explainability within the organization.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 7+ years of experience designing and deploying large-scale machine learning systems.
- Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
- Deep understanding of NLP, Computer Vision, or Reinforcement Learning concepts.
- Strong background in cloud architecture (AWS, GCP, or Azure) and containerization technologies.
- Exceptional problem-solving skills with a focus on future-proofing solutions.