Job Description
We are building the future of autonomous computing at 2026 Systems. Join our elite team of engineers and visionaries dedicated to creating the infrastructure that will define the technological landscape of the year 2026 and beyond.
As a Senior AI Systems Architect, you will lead the charge in designing robust, scalable, and secure machine learning pipelines. You will work on high-impact projects that require a deep understanding of distributed systems, cloud-native architecture, and advanced AI integration.
Responsibilities
- Architect and implement scalable ML infrastructure using Kubernetes and cloud-native technologies.
- Optimize deep learning models for production environments, focusing on inference speed and resource efficiency.
- Establish best practices for data governance, security, and compliance in AI workflows.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- Mentor junior engineers and conduct technical code reviews to ensure code quality.
- Research and integrate emerging AI frameworks to stay ahead of the curve.
Qualifications
- 5+ years of experience in backend engineering and machine learning infrastructure.
- Expert proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
- Strong understanding of distributed systems, microservices, and API design.
- Experience with cloud platforms (AWS, GCP) and containerization (Docker, K8s).
- Experience with SQL and NoSQL databases.
- Excellent communication skills and a passion for solving complex problems.