Remote AI & Automation Systems Analyst

ImageTrend

Eagan (MN)

On-site

USD 65,000 - 100,000

Full time

4 days ago
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Benefits offered by this job

Remote work policy
Benefits and perks

Job summary

ImageTrend is seeking an AI Business Systems Analyst to design and support AI-driven solutions across enterprise platforms. You will partner with stakeholders to translate business needs into AI use cases, build AI assistants and workflows, and govern secure, scalable deployments that drive measurable business value.

The role supports AI proofs of concept transitioning to production, with a focus on data governance, security, and responsible AI practices.

Qualifications

  • Bachelor's degree or equivalent in a relevant field or experience in AI-powered applications and enterprise systems
  • Experience with AI-powered applications, automations, or enterprise systems
  • Knowledge of AI concepts including LLMs, prompt engineering, and responsible AI practices

Responsibilities

  • Identify, evaluate, and prioritize AI and automation opportunities with business stakeholders
  • Translate requirements into AI use cases, designs, workflows, data needs and success metrics
  • Design, test, deploy, and support AI assistants, prompts, and AI-enabled deployments
  • Develop prompts and retrieval strategies to improve output quality and user adoption
  • Ensure governance, security, and proper review controls for AI outputs
  • Collaborate across vendors, IT, security, and business teams to deliver integrated solutions

Skills

AI concepts
LLMs
Prompt engineering
RAG
Workflow automation
APIs
Security governance

Education

Bachelor's degree in related field

Tools

Microsoft Copilot Studio
Azure AI
OpenAI
Salesforce Agentforce
Vertex AI
Power Platform

Job description

ImageTrend is seeking an AI Business Systems Analyst to design and support AI-driven solutions across enterprise platforms. You will partner with stakeholders to translate business needs into AI use cases, build AI assistants and workflows, and govern secure, scalable deployments that drive measurable business value.

The role supports AI proofs of concept transitioning to production, with a focus on data governance, security, and responsible AI practices.

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