Applied AI Analyst — Hybrid, Low-Code AI Projects

Invenergy; Chicago (IL); Hybrid; USD 70,000 - 82,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k

Paid time off

Job summary

Invenergy, headquartered in Chicago, seeks an Analyst, Applied AI (Enterprise Analytics & AI) to help apply enterprise AI tools and build low-code AI solutions. The role supports teams integrating AI into workflows, with a hybrid schedule (office Mon-Thu, remote Fri).

Bachelor’s in a technical field; no prior experience required; strong MS365, communication, and learning mindset are essential. Responsibilities include configuring AI agents, documenting workflows, evaluating AI apps, gathering

Qualifications

• Bachelor’s degree in a technical or quantitative field.
• No prior professional experience required.
• Clear and professional written and verbal communication.
• Familiar with Microsoft 365 tools and a curiosity for new technologies.

Responsibilities

• Assist in configuring and testing low-code AI agents and custom AI solutions.
• Document workflows and gather information to identify AI use cases.
• Develop familiarity with enterprise AI platforms and features.
• Evaluate third-party AI applications and organize findings.
• Collect AI usage data to support reporting and analysis.
• Help prepare training content and user guidelines for responsible AI use.
• Monitor emerging AI capabilities and share observations.

Skills

Microsoft 365

Communication skills

Organizational skills

Curiosity & learning mindset

Team collaboration

Education

Bachelor's degree in a technical or quantitative field

Tools

Microsoft Copilot Studio

Power Platform

Azure AI services

Python

SQL

Job description

Invenergy, headquartered in Chicago, seeks an Analyst, Applied AI (Enterprise Analytics & AI) to help apply enterprise AI tools and build low-code AI solutions. The role supports teams integrating AI into workflows, with a hybrid schedule (office Mon-Thu, remote Fri).

Bachelor’s in a technical field; no prior experience required; strong MS365, communication, and learning mindset are essential. Responsibilities include configuring AI agents, documenting workflows, evaluating AI apps, gathering