AI Innovation Engineer
Amcor · Atlanta, GA
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Jul 13, 2026
Atlanta, GA
Jul 21, 2026
What this job asks for AI summary
This role focuses on designing, building, and prototyping AI-powered products, applications, and automated workflows for a large global manufacturer. Day-to-day work involves developing solutions using large language models, AI agents, Azure cloud services, and data pipelines, while handling security, governance, and CI/CD practices. It suits a software or data engineer with at least two years of experience and hands-on familiarity with modern AI/ML concepts and Microsoft tooling.
Mid level · 2+ years · National · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
No work location is specified in the posting — the CBSA and state fields are left blank. Amcor's US headquarters is in Zurich (global) but its North American HQ is in Northbrook, IL; however, the JD does not name a city or state, so no metro is assumed.
The JD gates on a Bachelor's degree in a related field with no 'or equivalent experience' escape clause, so the degree requirement is set to Bachelors.
The role title 'AI Innovation Engineer' carries no seniority modifier; with only 2+ years required and a scope focused on prototyping and individual/small-team delivery, this maps to Mid-level despite the innovative framing.
Claude Code and Codex are listed together ('Claude Code or Codex') as interchangeable AI-assisted development tools under the required qualifications; they are captured as a single skill with Codex as the alternative.
Azure AI Foundry, Power Platform, and Git appear in a sentence that also calls out manufacturing/supply chain experience as 'preferred,' suggesting the entire clause is preferred context rather than a hard gate.
ETL/ELT pipelines and data modeling appear in the required proficiency list but name no specific tool or platform, so they are not emitted as skills per extraction rules.
Prompt/context engineering, embeddings, copilots, orchestration, and experimentation/evaluation methods are AI concepts listed in the requirements but name no specific tool or platform; they are not emitted as discrete skills.
No compensation figures are provided in the posting.
Read the full posting
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