Summary

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.

Description

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.

Minimum Qualifications

- Bachelor's or Master's degree in Computer Science, Software Engineering, Electrical Engineering or a related technical field
- 4-7 years of experience in software engineering, solutions engineering, technical consulting, data engineering or other business-facing technical roles
- Strong hands-on engineering skills with Python, APIs, infrastructure platforms and systems integrations
- Strong understanding of data engineering concepts, including data ingestion, cleaning, transformation, ETL/ELT, data validation and pipeline design
- Hands-on experience building or maintaining data pipelines for data-intensive applications
- Experience working with structured and unstructured data and transforming data from multiple sources into formats suitable for downstream applications




- Experience with SQL and relational databases, including querying, data transformation and troubleshooting data-related issues

Preferred Qualifications

- Experience deploying, supporting and troubleshooting production systems in enterprise environments
- Experience building integrations and automating workflows across multiple systems
- Experience working with APIs, databases, files and other data sources to build reliable data ingestion and processing workflows
- Practical experience using LLMs or GenAI APIs to create reliable workflows, automations or internal tools
- Familiarity with up-to-date AI tooling, agent frameworks, prompt engineering and orchestration platforms
- Understanding of the data requirements and challenges involved in building AI/ML applications, including data preparation, retrieval, evaluation and data quality
- Strong problem-solving skills and comfort operating in ambiguous, fast-changing environments
- Demonstrated ability to independently drive solutions from requirements gathering through deployment and iteration
- Proven ability to collaborate cross-functionally across engineering, product, operations, data and business teams
- Japanese language proficiency, with the ability to communicate effectively with Japanese-speaking customers and stakeholders and understand technical and business requirements in Japanese.
- Experience working in startup or high-growth environments with rapidly evolving priorities
- Strong product intuition and business empathy, with the ability to influence product direction based on field feedback

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

📌 Forward-Deployed Engineer - Global Sourcing & Supply Management (GSSM) Solutions (Bengaluru)
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