Job Description
We are seeking a visionary Senior AI Architect to define the technological landscape for the 2026 horizon. In this pivotal role, you will lead the development of cutting-edge Artificial Intelligence systems designed to revolutionize enterprise operations and user experiences. You will work at the intersection of deep learning, scalable infrastructure, and ethical AI principles.
Why Join Us?
We are a forward-thinking organization committed to building the future. You will have the autonomy to experiment with emerging technologies, mentor a world-class engineering team, and see your work deployed globally. If you are passionate about pushing the boundaries of what's possible in AI, this is your opportunity to lead the charge.
Responsibilities
- Architect and deploy scalable machine learning models tailored for the 2026 technological landscape, focusing on Generative AI and Large Language Models.
- Lead the design of high-performance computing infrastructure and optimize neural network training pipelines for speed and accuracy.
- Define best practices for data governance, model monitoring, and ethical AI implementation across the organization.
- Collaborate closely with product managers and data scientists to translate complex business requirements into robust technical solutions.
- Mentor junior engineers and senior staff, fostering a culture of continuous learning and technical excellence.
- Research and evaluate new frameworks and hardware accelerators (e.g., TPUs, GPUs) to maintain a competitive edge.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 5 years of professional experience in AI/ML engineering, with at least 2 years in a lead or architect role.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Proven track record of deploying production-ready AI systems at scale.
- Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.