AI Solutions Engineer
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Job Location:
Livermore, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
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) 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.
- Bachelors 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.
Additional Information :
#LI-Hybrid
Position Information
This is a Career Indefinite position open to Lab employees and external candidates.
Why Lawrence Livermore National Laboratory
- Included in 2025 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 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.
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Remote Work :
No
Employment Type :
Full-time
Key Skills
- Organizational Management
- Presentation Skills
- Agile
- SAFe
- AWS
- Solution Architecture
- Conflict Management
- Data Management
- Scrum
- Team Management
- Pre-sales
- Management Consulting
About Company
Join us and make YOUR mark on the World!Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG idea ... View more
