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

Apple Inc.; India; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Apple Inc. in Bengaluru, Karnataka, India seeks a Forward-Deployed Engineer for GSSM Solutions to swiftly translate operational needs into AI-powered, scalable solutions. You’ll build and deploy internal tooling, automate workflows, and integrate data across enterprise systems.

You will collaborate with product, engineering and business teams to shape data architectures, ensure data quality and drive measurable value for complex, data-intensive environments.

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, data engineering or customer-facing technical roles.
• Hands-on engineering skills with Python, APIs and systems integrations.
• Experience with data ingestion, transformation and pipelines.

Responsibilities

• Partner with stakeholders to understand workflows, deployment requirements, and bottlenecks.
• Translate business needs into practical, scalable technical solutions.
• Design and deploy AI-powered internal tools and data pipelines.
• Lead deployments as Forward-Deployed Engineer / Technical Product Manager.
• Build integrations across APIs, systems and data platforms.
• Develop data processing workflows for structured and unstructured data.

Skills

Python

APIs

Data pipelines

SQL

Cloud platforms

Education

Bachelor's or Master's in CS/Software/Electrical Engineering or related field

Tools

ETL/ELT tooling

Data integration tools

Job description

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

Bengaluru, Karnataka, India Operations and Supply Chain

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.

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

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 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

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