AI Solutions Architect-W-2 ONLY

United Global Technologies

  • Columbia, SC
  • 1 day ago
  • Remote
  • $80–$90 Per Hour
  • Full-time

Highlights

As an artificial intelligence (AI) subject-matter expert, this position will support the AI Center of Excellence by providing technical expertise for the evaluation and responsible implementation of AI solutions. Work Location: Fully Remote with occasional onsite visits required to South Carolina at the expense of the resource.

Numbers & Facts

LocationColumbia, SC (
Remote
)
Job TypeFull-time
Salary$80–$90 Per Hour

Description

W-2 ONLY NO SUBS, NO SPONSORSHIP

As an artificial intelligence (AI) subject-matter expert, this position will support the AI Center of Excellence by providing technical expertise for the evaluation and responsible implementation of AI solutions.

Work Location: Fully Remote with occasional onsite visits required to South Carolina at the expense of the resource. 

Job Responsibilities

Required Skills

·       Undergraduate degree in computer science, data science, artificial intelligence or related field required.

·       1 year of proven experience with establishing proof of concept success criteria and evaluating AI solutions against criteria

·       2 years of hands-on experience with ChatGPT, Microsoft Copilot, and comparable generative AI platforms

·       2 years of experience designing and implementing AI agents and retrieval-augmented generation (RAG) solutions.

·       1 year of experience using AI-assisted coding tools to accelerate development, testing, debugging, and documentation.

·       1 year of experience defining AI use case success criteria, key performance indicators (KPIs) and production monitoring measures for AI use cases.

·       1 year of experience building dashboards and reporting for AI adoption, performance, cost, risk, and operational outcomes.

·       1 year of hands-on experience integrating AI capabilities with Azure and AWS.

Qualifications

Preferred Skills

·       Background in a variety of programming languages and principals.

·       Familiarity with the foundations of artificial neural networks (ANNs), transformers, natural language processing, image classification and time-series data.

·       Experience with data tools and techniques for storing, retrieving, and cleaning data.

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