Senior Software Engineer - GenAI Platform & Practice

Summary

Apple’s Wallet, Payments, and Commerce organization builds the financial services that hundreds of millions of people rely on daily — Apple Pay, Apple Card, Apple Cash, Access, Transit, and more. These are regulated, security-critical, privacy-first systems operating at global scale, where availability is table stakes. We’re forming a new enablement team with a specific thesis: GenAI-first development is ready to move from experiment to operating model. We proved this by building a large-scale financial micro-services application in an automated run, and now we need engineers who can make that approach repeatable, rigorous, and accessible across our engineering organization. This role is about engineering judgment applied at a new layer of the GenAI stack — not prompt crafting. It demands more rigor, not less.

Minimum Qualifications

Demonstrated ability to adopt new development paradigms and apply them to real problems with concrete examples (e.g., GenAI-driven development, infrastructure-as-code, test automation frameworks, CI/CD transformation, or comparable shifts in how a team builds software). Deep domain expertise. Clear communication across engineers, engineering leaders, and quality engineering. 8+ years of prior software engineering experience. 1 year experience having defined and evolved GenAI development automation, templates, and workflow patterns. 1 year experience having built, acquired, and spec the validation tools that expand what GenAI-first development can reliably automate. 1 year experience having designed and ran experiments that push the limits of the approach and define the metrics that prove what’s working. 1 year experience having built the compliance, security, and quality validations into the automation. Bachelor’s degree required in a related subject area, or we may consider an equivalent industry experience

Preferred Qualifications

Fluency with GenAI-first development tools such as AI coding assistants, LLM-driven automation frameworks, or similar platforms. Experience in financial services, payments, or regulated technology domains. Automated validation, quality engineering, or test automation at scale. Establishing a new team or function: defining practices, engagement models, and priorities from scratch.

Description

You’ll engineer the workflows, judgment frameworks, and validation tools that let LLMs generate production-quality code — then make this approach accessible to engineering teams across the organization. You’ll build the automated validations that push the boundary of GenAI-first development, concentrate expert judgment, and feed what vertical teams learn back into the platform. Expert judgment is core to this role — knowing when to automate, when to include the expert in the loop, when an approach will scale to the whole org.

Responsibilities

Define and evolve the GenAI development automation, templates, and workflow patterns that encode SDLC best practices and extract expert knowledge from across the engineering organization turning how your best engineers think into reusable, composable automation. Build, acquire, or spec the validation tools that expand what GenAI-first development can reliably automate, including build-vs-buy analysis and new requirements for teams whose systems already partially meet our needs. Design and run experiments that push the limits of the approach and define the metrics that prove what’s working without constraining innovation with premature measurement. Build the compliance, security, and quality validations into the automation working directly with those functions and with vertical product teams to make sure what you ship meets the bar they set. When teams develop their own innovations: new patterns, novel orchestration designs, unexpected applications - help refine and scale those solutions across the org. Define the GenAI operating model: how we engage vertical teams, how we build with AI, and how we measure and communicate what’s working.