Jobs · Engineering · Georgia

AI Innovation Engineer

Amcor · Atlanta, GA · Yesterday
EngineeringFull-time

About the role

The AI Innovation Engineer is responsible for defining, designing, and prototyping AI-enabled products, applications, agents, and intelligent workflows that deliver measurable business value. Working independently or within a small team, the role develops innovative AI solutions while ensuring alignment with enterprise strategy, governance frameworks, scalability requirements, security standards, and responsible AI principles.

Key Job Accountabilities

  • Lead the design, development, and prototype build of AI-enabled products, applications, APIs, and intelligent workflows aligned with the project’s objectives.
  • Integrate development of scalable AI solutions using Azure, Microsoft Fabric, LLMs, AI agents, APIs, semantic models, data pipelines, and orchestration frameworks.
  • Define product requirements, user experiences, experimentation methods, and evaluation frameworks to deliver measurable business value.
  • Implement necessary security, governance, CI/CD, testing, monitoring, observability, documentation, and operational support practices for enterprise AI solutions.
  • Collaborate with business, engineering, and data stakeholders to drive innovation, user engagement, and secure, responsible AI practices.

Qualifications/Requirements

  • Bachelor’s degree in a related technical or business field required; advanced degrees, Microsoft certifications, and AI-assisted development tool experience preferred
  • 2+ years of experience in software engineering, data engineering, or related technical roles.
  • Proficiency in C#, Python, TypeScript/JavaScript, React, APIs, cloud architectures, ETL/ELT pipelines, data modeling, CI/CD, and modern software engineering practices.
  • Proficiency using Claude Code or Codex for application development and data engineering
  • Strong understanding of AI/ML concepts including LLMs, RAG, embeddings, copilots, prompt/context engineering, orchestration, experimentation, evaluation methods, and enterprise AI integration patterns.
  • Experience with Microsoft Azure, Microsoft Fabric, Azure AI Foundry, Power Platform, and Git; manufacturing or supply chain experience in a multinational company is preferred.

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