Senior Solutions Architect, Generative AI
Core
Architecting and delivering end-to-end generative AI solutions, specifically focusing on training Large Language Models (LLMs) and implementing Agentic and RAG-based workflows.
Role type
Senior Solutions Architect (Generative AI)
Builds
Scalable LLM training and inference solutions, RAG-based content generation and retrieval systems
Domain
Generative AI, Large Language Models, GPU Cluster Computing
Deliverable
production ML models
Required skills
LLM training and fine-tuning, RAG workflow design, GPU cluster architecture, distributed computing, model optimization for inference, technical pre-sales and customer workshops
Preferred skills
Containerization (Docker), orchestration (Kubernetes), NVIDIA GPU technologies
Technologies
TensorFlow, PyTorch, Hugging Face Transformers, NVIDIA GPUs
Responsibilities
Architect end-to-end generative AI solutions with a focus on LLMs, Agentic and RAG workflows; Collaborate with customers to understand language-related business challenges and design tailored solutions; Lead workshops and design sessions to define and refine generative AI solutions; Implement strategies for efficient and effective training of LLMs; Design and implement RAG-based workflows to enhance content generation and information retrieval; Provide technical leadership and guidance on best practices for training LLMs and implementing RAG-based solutions
Seniority
Senior, hands-on IC
