Forward-Deployed Engineer - AI and Data Solutions

Apple India Pvt Ltd; Bengaluru; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

Apple India Pvt Ltd is seeking Forward-Deployed Engineers (FDEs) for Global Sourcing & Supply Management to rapidly identify operational pain points and deploy AI-powered solutions in real-world environments.

You'll work at the intersection of Engineering, Product, Data and Customer Success, building and operationalising AI-driven workflows, automations, APIs and data pipelines while collaborating with cross-functional teams across contexts and customers.

Qualifications

• Bachelor's or Master's in CS/SE/EE or related field.
• 4-7 years of relevant experience in software/ data engineering or technical consulting.
• Strong hands-on skills with Python, APIs, and systems integrations.
• Experience with SQL and relational databases.
• Experience building data pipelines and ETL/ELT workflows.

Responsibilities

• Work directly with users to understand workflows and pain points.
• Develop AI-powered solutions using AI/ML, APIs and data pipelines.
• Deploy and operationalize solutions in real-world environments.
• Collaborate across engineering, product, data and customer success teams.
• Move from ambiguity to implementation quickly.

Skills

Python

APIs

Data engineering

ETL/ELT

SQL

Problem-solving

Communication

Education

Bachelors/Master's in CS/SE/EE or related field

Tools

APIs integration

Data pipelines

Job description

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

Solutions 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.

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 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

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