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SeniorFull-timeMicroservicesAI
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
We have an opening for an AI Solutions Engineer with robust expertise in enhancing business applications with AI capabilities and leveraging Retrieval Augmented Generation (RAG) technologies. In this role, you will help design, develop, and deploy solutions that integrate AI technologies across our business systems application portfolio. You will work closely with application developers, data scientists, product owners, and business analysts to determine how best to AI enable our business applications. This position is in the Enterprise Application Services (EAS) Division which is part of the Computing Directorate, in support of the LivIT Program.
This position offers a hybrid schedule, blending in-person and virtual presence. You will have the flexibility to work from home one or more days per week. 
You will
• Conduct and maintain Retrieval Augmented Generation (RAG) data pipelines by integrating LLMs (for example, OpenAI, Anthropic, etc.) with enterprise document stores and vector databases.
• Collaborate in the development of scalable, secure APIs, microservices, and MCP servers that enable RAG based application access to business system data sources.
• Partner with application development teams to optimize retrieval performance, improve accuracy through prompt engineering and grounding techniques, and reduce LLM token usage to help manage AI related costs.
• Collaborate with data engineering teams to integrate virtualized data sources into AI workflows.
• Build connectors and middleware to access and transform real time operational data for consumption by LLMs and analytics services.
• Partner with application developers and stakeholders across operational areas such as Finance, HR, and Procurement to help identify opportunities to leverage AI tools that reduce manual workflows.
• Monitor AI technology performance and provide solutions to improve usability, explainability, and relevance.
• Perform other duties as assigned.
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About LLNL
Lawrence Livermore National Laboratory (LLNL) is a premier research and development institution dedicated to advancing science and technology for national security and global challenges. Established in 1952 in Livermore, California, LLNL operates under the auspices of the U.S. Department of Energy and is renowned for its interdisciplinary approach, integrating physics, engineering, computer science, and other fields to address complex problems. The laboratory plays a critical role in ensuring national security, developing energy solutions, and conducting cutting-edge scientific research. LLNL’s core activities include scientific discovery, engineering innovation, and the development of advanced technologies. The laboratory specializes in high-performance computing, materials science, nuclear weapons science, and energy systems, among other areas. Key features of LLNL’s work include its use of state-of-the-art facilities, such as the National Ignition Facility, and its collaborative partnerships with academia, industry, and government agencies. The laboratory serves a diverse audience, including policymakers, military leaders, and scientists, providing solutions to pressing issues like climate change, nuclear nonproliferation, and energy sustainability. LLNL has achieved numerous milestones, including pioneering breakthroughs in inertial confinement fusion and developing advanced computational models for national security applications. Its research has led to significant contributions in fields such as nanotechnology, biotechnology, and environmental science. As a leader in scientific innovation, LLNL is distinguished by its commitment to addressing global challenges through rigorous research, technological excellence, and a multidisciplinary approach that leverages the expertise of thousands of scientists and engineers.
