Job Description
We are seeking a visionary Senior AI Architect to lead our cutting-edge initiatives for the 2026 technology roadmap. As we pioneer the next generation of generative AI and autonomous systems, we need a technical leader who can bridge the gap between theoretical research and production-scale deployment.
In this role, you will define the architectural standards for our AI infrastructure, mentor a team of talented engineers, and build scalable models that solve complex real-world problems. If you are passionate about the future of technology and want to be at the forefront of the AI revolution, we want to hear from you.
Responsibilities
- Design and implement robust, scalable AI architectures for large-scale deployment.
- Lead the end-to-end lifecycle of machine learning models, from research and prototyping to production release and monitoring.
- Collaborate with cross-functional teams including product managers, data scientists, and engineering leads to define technical requirements.
- Optimize AI models for speed, accuracy, and resource efficiency to meet 2026 performance benchmarks.
- Mentor junior engineers and conduct code reviews to ensure best practices in AI engineering.
- Stay abreast of the latest advancements in AI research and integrate them into our technology stack.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 5+ years of experience in software engineering with a focus on AI/ML.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Proven experience with Large Language Models (LLMs), RAG architectures, and vector databases.
- Deep understanding of cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Experience with MLOps tools and pipelines (MLflow, Kubeflow, Airflow).