Junior AI Solutions Analyst

MES Service Company.•Miami, FL
•Onsite

About The Position

MES Service Company, LLC is seeking an early-career Junior AI Solutions Analyst to help develop and implement AI tools and processes across the organization. The analyst will work with business and functional teams to understand workflows, identify opportunities for automation and improvement, and build practical AI-enabled solutions. The role also supports testing, documentation, training, and responsible adoption of AI tools. The position is based in Miami, Florida. The analyst will collaborate across technology, operations, finance, human resources, legal, sales, sourcing, and other teams. Success involves identifying meaningful improvement opportunities, translating business needs into practical and user-friendly solutions, building accurate and reliable tools, encouraging adoption, maintaining documentation and safeguards, and improving solutions based on feedback and business results.

Requirements

  • Bachelor's degree or equivalent practical experience required.
  • One to three years of relevant professional experience developing or supporting technology, AI, data, automation, or related solutions; relevant internship, academic, or project experience may also be considered.
  • Familiarity with generative AI tools, large language models, automation platforms, or related technologies.
  • Basic experience with one or more programming or scripting languages, preferably Python or JavaScript.
  • Ability to learn new technologies quickly and apply them to practical business needs.
  • Strong analytical and problem-solving skills.
  • Strong written and verbal communication skills, including the ability to explain technical concepts to nontechnical users.
  • Ability to manage multiple assignments, document work carefully, and follow projects through completion.
  • Good judgment when working with confidential, proprietary, or sensitive information.
  • Collaborative and service-oriented approach to working with employees across different functions and levels of the organization.

Nice To Haves

  • A degree in engineering, computer science, information systems, data science, applied mathematics, or another technical or quantitatively focused field.
  • Experience building AI-enabled applications, chatbots, workflow automations, or internal productivity tools.
  • Familiarity with APIs, databases, data preparation, or system integrations.
  • Experience with Microsoft 365, Power Platform, Azure, OpenAI technologies, or comparable platforms.
  • Familiarity with version-control tools such as Git.
  • Experience developing dashboards, reports, or data visualizations.
  • Exposure to enterprise resource planning, customer relationship management, human resources, finance, distribution, or supply-chain systems.
  • A portfolio, academic project, internship, or other example demonstrating the practical use of AI or automation.

Responsibilities

  • Partner with employees and business leaders to understand workflows, recurring challenges, and opportunities for AI or automation.
  • Assist in designing, building, testing, and deploying internal AI tools, applications, agents, and automated workflows.
  • Develop prototypes and proofs of concept to demonstrate how AI can improve productivity, decision-making, customer service, or operational performance.
  • Help integrate AI solutions with existing business systems, data sources, and applications.
  • Create and refine prompts, instructions, knowledge bases, and workflow logic for generative AI tools.
  • Evaluate AI-generated outputs for accuracy, reliability, consistency, and business usefulness.
  • Support testing and quality assurance of new tools before broader implementation.
  • Monitor the performance and adoption of deployed solutions and recommend improvements.
  • Document system requirements, workflows, testing results, operating procedures, and user instructions.
  • Develop training materials and provide hands-on support to employees using new AI tools.
  • Research emerging AI technologies and recommend practical applications relevant to MES.
  • Support responsible AI practices, including appropriate treatment of confidential information, data privacy, security, human review, and access controls.
  • Collaborate with technology, operations, finance, human resources, legal, sales, sourcing, and other teams on cross-functional projects.
  • Perform other related duties and participate in special projects as assigned.

Benefits

  • Competitive compensation package, including base salary and performance-based incentive compensation.
  • Comprehensive benefits program.
  • Professional development opportunities.
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