Join Argonne National Laboratory and help shape the future of AI-enabled scientific data workflows. We are seeking a technically strong and collaborative professional to support the design, implementation, and advancement of enterprise-class AI solutions that improve how experimental data is categorized, processed, and stored. This is an opportunity to work at the intersection of science, technology, and operations while partnering with experts across research, cybersecurity, and IT to deliver impactful solutions that meet mission and institutional needs.
Serve as a subject matter expert in the design, implementation, enhancement, and maintenance of directorate-wide, AI-enabled solutions that streamline experimental data categorization, processing, and storage. Partner closely with scientific domain experts to develop solutions that prepare collected data for downstream AI applications, including model training and related analytical workflows.
This role requires a strong understanding of data structure, provenance, labeling, and intended processing methods. The successful candidate will establish and maintain regular written and in-person communication with scientific collaborators, cybersecurity staff, central IT, and team members regarding technical issues, system updates, and planned changes.
In addition, this position will lead significant projects and initiatives focused on transforming architected workflows into enterprise-class solutions that meet Argonne’s operational, technical, and security requirements.
Position Requirements
Experience analyzing, designing, implementing, and maintaining AI workflows using on-premises tools such as Dify
Knowledge of large language models (LLMs), including model selection and training approaches for localized or on-premises deployments
Expertise in prompt engineering, refinement, and optimization to improve efficiency and effective token/resource usage
Strong understanding of the software development lifecycle, including scripting, documentation, version control, and sound coding practices
Ability to use and operate LLMs while safeguarding sensitive and proprietary information
Strong oral, written, and interpersonal communication skills, with the ability to work effectively with peers, staff, and all levels of management
Ability to learn and follow Laboratory and Department of Energy policies and procedures
Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork
Desired Knowledge, Skills, and Experience
Knowledge of automation tools and core technology principles
Familiarity with Globus, including Data Transfer Nodes (DTNs), storage gateways, and collections
Knowledge of object storage technologies, including Amazon S3-compatible platforms, and familiarity with the HDF5 file format
Ability to quickly learn and adapt to new technologies and techniques in a rapidly evolving market
Ability to work effectively in a fast-paced environment with changing priorities
Strong project management and time management skills, with the ability to work independently
PT2: Bachelors and 2+ years of experience, or equivalent
Job Family
Professional Technical (PT)
Job Profile
IT Multi-Functional 2
Worker Type
Regular
Time Type
Full timeThe expected hiring range for this position is $69,750.00 - $108,810.00.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
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As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.
Argonne National Laboratory, one of the U.S. Department of Energy's national laboratories for science and engineering research, employs 3,400 employees, including 1,400 scientists and engineers, three-quarters of whom hold doctoral degrees. Argonne's annual operating budget of around $1 billion supports upwards of 200 research projects. Since 1990, Argonne has worked with more than 600 companies and numerous federal agencies and other organizations.
Argonne's mission is to apply a unique mix of world-class science, engineering and user facilities to deliver innovative research and technologies. We create new knowledge that addresses the most important scientific and societal needs of our nation.
We actively seek opportunities to work with industry to transfer our technologies to the marketplace through licensing, joint research and many other collaborative relationships.
Argonne is managed by UChicago Argonne, LLC, for the U.S. Department of Energy's Office of Science. We are located on 1,500 acres (6.9 sq. km) in southwest DuPage County, Illinois 25 miles (40 km) southwest of Chicago. The site is completely encircled by the beautiful Waterfall Glen Forest Preserve.
