Take your career to the next level with Amaris Consulting as an AI Enablement Engineer (eCommerce Platform) . Become part of an international team, thrive in a global group with €800M turnover and 1,000+ clients worldwide, and an agile environment by planning the kickoff and follow up on projects. Join Amaris Consulting, where you can develop your potential and make a difference within the company.

WHAT WOULD YOU NEED? ✍️

• Bachelor’s degree in Computer Science, Software Engineering, or equivalent
• Proven experience with AI-assisted software engineering workflows and modern development tooling
• Experience with distributed digital platforms and enterprise integration ecosystems
• Experience with frontend/backend technologies, APIs , cloud-native architectures, microservices, and CI/CD practices
• Strong collaboration and communication skills in distributed engineering organizations
• Ability to train and support teams adopting new engineering practices, tooling, and workflows
• Strong autonomy and ability to proactively identify opportunities and drive initiatives
• Ability to drive adoption and influence engineering practices without direct authority

Nice to have:

• Familiarity with LLM-based automation and enterprise AI tooling evaluation/adoption
• Experience with composable commerce platforms (e.g. commercetools)
• Experience improving developer experience, release quality, automation or observability in large-scale environments

WHAT WILL YOU DO?

• Evaluate and promote AI-assisted engineering tools and workflows aligned with enterprise standards and architecture principles
• Collaborate with Engineering, QA, and DevOps teams to identify automation and productivity opportunities across frontend, backend, APIs, integrations, and CI/CD pipelines
• Drive adoption of AI-assisted development, testing, troubleshooting, documentation, observability, and operational practices
• Support AI-assisted workflows across composable commerce platforms, cloud-native applications, integration layers, and existing eCommerce systems
• Contribute to reusable engineering practices, governance, standards, and knowledge sharing across squads and vendors
• Define and track engineering productivity, QA, and operational metrics to support continuous improvement
• Promote consistent adoption of AI-assisted practices across teams, contributing to engineering governance and shared standards