Leads customer implementations of LLM and generative-AI systems from architecture through production, building full-stack solutions and improving model quality.
About this role
This AI and data engineering role sits within the corporate business system integration organization, supporting enterprise customers with technology-led business and operational improvements. The work covers customer-facing system development and technical assistance across AI, data platforms, cloud services, and business intelligence.
The engineer leads projects from proposals and requirements definition through design, implementation, and deployment. Responsibilities include building data integration platforms spanning governance, preparation, data lakes, data warehouses, BI, and AI use; managing schedules, quality, risks, documentation, and customer discussions; and coordinating internal and external partners. Python, generative AI, cloud, data integration, BI, and related AI technologies are named in the posting.
Applicants need at least five years of practical experience in corporate-customer system development, technical or implementation support, or project delivery involving requirements organization and customer negotiation. They also need experience in an AI or data-related project, around three years of Python use, foundational knowledge of mathematics, statistics, and AI, and demonstrated ability to organize requirements, create project documents, and drive stakeholder coordination.
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