Job Description
We are pioneering the next generation of autonomous intelligence. As a Future-Ready AI Systems Architect, you will design the infrastructure that powers the digital ecosystem of 2026 and beyond.
Your mission is to bridge the gap between theoretical AI research and scalable, production-grade software engineering. You will lead a team of innovators in building Agentic AI workflows, optimizing Large Language Models (LLMs), and ensuring ethical AI deployment at scale.
Join us in shaping the future of technology from the heart of Silicon Valley.
Responsibilities
- Design and implement scalable, secure, and high-performance AI system architectures for future-facing applications.
- Lead the development of autonomous agents and multi-modal AI workflows using cutting-edge frameworks.
- Optimize model inference latency and cost efficiency for large-scale deployment.
- Establish MLOps pipelines to automate model training, validation, and deployment cycles.
- Collaborate with cross-functional teams to define product roadmaps aligned with 2026 technological trends.
- Conduct rigorous code reviews and technical architecture assessments.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in software engineering, with at least 2 years in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
- Proven experience designing and deploying LLMs (e.g., GPT, LLaMA) and RAG architectures.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Experience with ethical AI principles, bias mitigation, and data privacy regulations.