AI Solutions Engineer at LLNL in Livermore, CA

companyDescription Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact. jobDescription 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. qualifications Ability to obtain and maintain a U.S. DOE L level security clearance in the future, which requires U.S. citizenship. Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field. Significant experience in leveraging business operations data to support AI RAG efforts. Significant experience building AI powered applications, particularly with leveraging RAG services, vector databases, and LLM APIs. Significant experience in implementing RESTful APIs, microservices, MCP servers, or cloud platform services. Advanced skills in programming languages such as Python, JavaScript/TypeScript, or Java. Advanced knowledge of prompt tuning, feedback loops, and implementing guardrails/safeguards in AI systems design. Advanced verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information and provide advice to management. Qualifications We Desire Experience working within Agile/Scrum environments supporting cross functional development teams. Exposure to vector embeddings, semantic search, and knowledge graph technologies. Familiarity with DevOps, CI/CD pipelines, and containerization. Pay Range $175,530 - $222,564 Annually This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage.  An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. additionalInformation #LI-Hybrid Position Information This is a Career Indefinite position, open to Lab employees and external candidates. Why Lawrence Livermore National Laboratory? Included in 2026 Best Places to Work by Glassdoor! Flexible Benefits Package 401(k) Relocation Assistance Education Reimbursement Program Flexible schedules (*depending on project needs) Our values - visit https://www.llnl.gov/inclusion/our-values Security Clearance This position requires a Department of Energy (DOE) L-level clearance.  If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter.  Also, all L or Q cleared employees are subject to random drug testing.  L-level clearance requires U.S. citizenship. Pre-Employment Drug Test External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor. Wireless and Medical Devices Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession.  This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices. If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas.  Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings. How to identify fake job advertisements Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond. To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf Equal Employment Opportunity We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws. Reasonable Accommodation Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory.  If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. California Privacy Notice The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.