Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Prompt Engineering Architect in the United States.
This role is a senior technical leadership position focused on defining how large language model (LLM) systems are designed, evaluated, and scaled across multiple production use cases. You will shape organization-wide standards for prompt design, agentic workflows, and retrieval-augmented generation systems that power real-world applications. The environment is highly technical and innovation-driven, requiring deep expertise in LLM behavior, system architecture, and responsible AI practices. You will collaborate with engineering and applied science teams to translate cutting-edge AI capabilities into reusable frameworks and production-ready solutions. This position blends hands-on architecture work with strategic influence, including mentoring engineers and guiding multi-team adoption of LLM best practices. It is ideal for someone who has shipped LLM-powered products and wants to operate at the intersection of research, engineering, and scalable product design.
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Prompt Engineering Architect in the United States.
This role is a senior technical leadership position focused on defining how large language model (LLM) systems are designed, evaluated, and scaled across multiple production use cases. You will shape organization-wide standards for prompt design, agentic workflows, and retrieval-augmented generation systems that power real-world applications. The environment is highly technical and innovation-driven, requiring deep expertise in LLM behavior, system architecture, and responsible AI practices. You will collaborate with engineering and applied science teams to translate cutting-edge AI capabilities into reusable frameworks and production-ready solutions. This position blends hands-on architecture work with strategic influence, including mentoring engineers and guiding multi-team adoption of LLM best practices. It is ideal for someone who has shipped LLM-powered products and wants to operate at the intersection of research, engineering, and scalable product design.
