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.
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 modern 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
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
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.
Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.
