Argonne National Laboratory
ScientificAISolutionsArchitect
“Scientific AI Solutions Architect at Argonne National Laboratory. Skills: AI Solutions, LLMs, Data Workflows. Support design, implementation, advancement of AI solutions. Improve data categorization, processing, storage”
What You'll Achieve.
Improve how experimental data is categorized, processed, and stored; Deliver impactful solutions that meet mission and institutional needs; Streamline experimental data categorization, processing, and storage; Prepare collected data for downstream AI applications; Meet Argonne’s operational, technical, and security requirements; Improve efficiency and effective token/resource usage
Industry & Context.
Ability to use and operate LLMs while safeguarding sensitive and proprietary information, Ability to model Argonne’s core values, Ability to work effectively in a fast-paced environment with changing priorities, Ability to work independently, Background check, Obtain a government access authorization
What They're Looking For.
Must Have
Bachelors and 2+ years of experience, or equivalent
Nice to Have
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, project management and time management skills, with the ability to work independently
What You'll Do.
advancement of AI solutions
Improve data categorization
Partner with scientific domain experts
Prepare data for downstream AI applications
Establish and maintain communication
Lead projects and initiatives
Transform architected workflows into enterprise-class solutions
How You'll Work.
Team & Collaboration
Partnering with experts across research, cybersecurity, and IT; Partner closely with scientific domain experts; Regular written and in-person communication with scientific collaborators, cybersecurity staff, central IT, and team members; Work effectively with peers, staff, and all levels of management; Teamwork
Communication Scope
oral communication skills; written communication skills; interpersonal communication skills
Process & Methodology
Lead significant projects and initiatives, project management, time management
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