Job Description
We are pioneering the next evolution of artificial intelligence, specifically targeting the 2026 tech stack standards. We are looking for a visionary Senior Generative AI Architect to lead the development of autonomous reasoning agents and multimodal foundation models.
In this role, you won't just be building models; you will be architecting the infrastructure that will define the next decade of human-machine interaction. You will work at the intersection of deep learning, distributed systems, and cognitive science.
Responsibilities
- Design and deploy scalable Generative AI pipelines using the latest 2026-era frameworks (e.g., advanced diffusion models and agentic workflows).
- Optimize model inference latency and cost-efficiency for production environments at scale.
- Lead the R&D efforts in fine-tuning large language models (LLMs) for specialized industry applications.
- Collaborate with product teams to translate complex AI capabilities into user-centric features.
- Establish best practices for AI ethics, safety, and bias mitigation in model training.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
- 5+ years of experience in building production-grade machine learning systems.
- Expert proficiency in Python, PyTorch, and deep learning frameworks.
- Proven track record of deploying Large Language Models (LLMs) and Generative Adversarial Networks (GANs).
- Experience with distributed computing (Kubernetes, Spark) and cloud infrastructure (AWS/GCP).