Job Description
Are you ready to architect the intelligence of tomorrow?
OmniMind Systems is seeking a visionary Senior Generative AI Architect to lead our breakthrough initiatives in Large Language Models (LLMs) and autonomous agents. In this pivotal role, you won't just write code; you will define the architectural framework for the next generation of human-AI interaction. If you are passionate about the ethical, scalable, and transformative power of AI, we want to hear from you.
The Role:
As a Senior Generative AI Architect, you will bridge the gap between theoretical AI research and production-grade engineering. You will design scalable pipelines, optimize model performance, and collaborate with cross-functional teams to deliver products that define the future.
Responsibilities
- Design and deploy scalable Generative AI architectures, specifically focusing on LLMs and Diffusion Models.
- Optimize inference latency and cost-effectiveness in cloud-native environments.
- Establish best practices for data privacy, bias mitigation, and responsible AI.
- Lead technical strategy for integrating Retrieval-Augmented Generation (RAG) into core products.
- Mentor junior engineers and data scientists, fostering a culture of innovation.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field (5+ years of experience required).
- Extensive experience with deep learning frameworks (PyTorch, TensorFlow) and Hugging Face.
- Proven track record in Natural Language Processing (NLP) and Generative AI model training.
- Strong proficiency in Python, SQL, and cloud infrastructure (AWS/GCP/Azure).
- Experience with MLOps tools (MLflow, Kubeflow) and version control (Git).