Forward-Deployed Engineer - (GSSM)

Job Summary

Forward-Deployed Engineer - Global Sourcing Supply Management (GSSM) Solutions. Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. We're looking for customer-facing Forward-Deployed Engineers (FDEs) who can rapidly identify operational pain points, build practical AI-powered solutions and deploy them in real-world environments.

This role sits at the intersection of Engineering, Product, Data and Customer Success. You'll work directly with users to understand workflows, uncover the highest-impact problems and quickly deliver solutions using AI, automation, APIs, data engineering, ETL/ELT pipelines and cloud tooling. Success in this role requires strong engineering ability, data engineering fundamentals, operational problem-solving, communication skills and the ability to move from ambiguity to implementation quickly. You are not just advising on solutions - you are building and operationalising them.

Responsibilities

Partner directly with business stakeholders, engineers and product managers to understand operational workflows, deployment requirements and process bottlenecks

Translate ambiguous business needs into practical, scalable technical solutions

Identify high-impact operational pain points and rapidly deliver solutions that create measurable value

Scope, design, build and deploy AI-powered internal tools, workflow automations and system integrations across test and production environments

Lead business implementations and deployments as a Forward-Deployed Engineer / Technical Product Manager (FDE/TPM)

Build and maintain integrations across APIs, systems and data platforms

Design and implement data pipelines and ETL/ELT workflows to ingest, clean, transform, validate and prepare data for AI and data-intensive applications

Work with large, complex and heterogeneous datasets across multiple enterprise systems and data sources

Develop data-processing workflows that combine structured and unstructured data, including databases, spreadsheets, documents, APIs and other enterprise data sources

Establish data quality checks, validation processes and monitoring to ensure data is reliable and usable by downstream applications

Troubleshoot data pipelines and investigate issues related to data quality, schema changes, ingestion failures, transformation errors and data availability

Work with engineering teams to design data architectures and pipelines that support scalable AI applications, analytics and automation workflows

Troubleshoot production issues, debug live environments and drive issues through resolution

Guide user adoption, training and iterative improvement as workflows and AI capabilities evolve

Partner closely with product and engineering teams to improve platform capabilities based on real-world operational feedback

Operate effectively in dynamic environments with evolving business and deployment requirements

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.