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Mid-level AI engineer title, metro location, and 4+ years requirement increase applicant competition.
Core AI engineering skills are transferable, but enterprise SAP and migration focus narrows industry fit.
Explicit 4+ years requirement plus mandatory AI, Python, Azure, and enterprise integration skills raise filter strictness.
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Design, develop, and maintain AI-powered agents and automation solutions to support SAP migration and enterprise data platform modernization.
Build scalable backend services, APIs, orchestration workflows integrating AI with SAP repositories, DevOps pipelines, and enterprise systems.
Partner with SAP Architects and domain experts to create reusable AI contexts and implement quality controls, security, and governance for AI-generated outputs.
Minimum 4 years experience in Software Engineering, AI Engineering, Data Engineering, Automation, or Enterprise Application Development.
Strong proficiency in Python and experience building production-grade AI applications, APIs, backend services or automation platforms.
Experience with AI applications using LLMs, RAG, tool/function calling, workflow automation, and integration with enterprise applications and DevOps tools.
Experience working with Microsoft Azure cloud services and strong SQL and data analysis skills.
Experienced in integrating AI capabilities with SAP systems and enterprise data platforms, preferably with SAP BW, SAP HANA, or ABAP exposure.
Skilled in developing secure, governed, and scalable AI solutions in enterprise environments following software engineering best practices.
Able to collaborate across diverse teams including AI, Data Engineering, SAP, CloudOps, and enterprise architecture for end-to-end migration and modernization initiatives.