Job Description
We are at the forefront of defining the technological landscape for 2026. As a Senior AI Architect, you will lead the charge in building scalable, intelligent systems that anticipate the needs of tomorrow. We are looking for a visionary engineer to bridge the gap between advanced machine learning research and production-grade infrastructure.
In this role, you will architect the core neural networks that power our next-gen platforms, ensuring they are robust, efficient, and ready for the exponential growth of the AI era.
What You'll Do:
- Design and implement end-to-end AI infrastructure for 2026-ready applications.
- Lead the technical strategy for Large Language Models (LLMs) and generative AI workflows.
- Optimize model inference and training pipelines for maximum efficiency.
- Collaborate with product leaders to translate business goals into technical solutions.
- Mentor a team of brilliant engineers and foster a culture of innovation.
- Ensure compliance with data privacy and ethical AI standards.
Qualifications:
- 10+ years of experience in software engineering and machine learning.
- Deep expertise in Python, PyTorch, and TensorFlow.
- Strong background in distributed systems and cloud architecture (AWS/GCP).
- Proven track record of deploying production-level AI models.
- Experience with MLOps and model versioning tools.
- Excellent problem-solving skills and communication abilities.
Responsibilities
- Architect scalable machine learning pipelines optimized for high-throughput environments.
- Lead the research and implementation of novel AI architectures.
- Define technical roadmaps for the 2026 product cycle.
- Conduct code reviews and technical architecture reviews.
- Drive the integration of edge computing with cloud-based AI models.
Qualifications
- PhD or Master's degree in Computer Science, AI, or a related field.
- Extensive experience in Natural Language Processing (NLP) and Computer Vision.
- Hands-on experience with Kubernetes and containerization.
- Ability to thrive in a fast-paced, startup-like environment.
- Strong understanding of system scalability and reliability engineering.