Sr Software Engineer, GenAI Platform & Practice

Apple Inc.; Cupertino (CA); On-site; USD 184,700 - 324,800; Full time

Job summary

Apple Inc. in Cupertino is seeking a Sr Software Engineer for GenAI Platform & Practice to advance GenAI‑first development across Apple’s engineering stack.

You will design workflows, judgment frameworks, and validation tools to enable production‑quality code generated by LLMs, aligning with security and compliance. You will collaborate with product teams to scale automation patterns, measure outcomes, and refine the operating model for broad adoption of a privacy‑first, globally scalable GenAI

Qualifications

• 8+ years of software engineering experience.
• 1 year defining and evolving GenAI development automation, templates, and workflow patterns.
• 1 year building, acquiring, and spec’ing validation tools that expand GenAI‑first development.
• 1 year designing and running experiments that push the limits and define metrics.
• 1 year building compliance, security, and quality validations into the automation.
• Bachelor’s degree or equivalent industry experience.

Responsibilities

• Define and evolve GenAI automation patterns and SDLC best practices.
• Build, acquire, or spec validation tools that expand GenAI‑first development automation.
• Design and run experiments that push the limits and define the metrics.
• Build the compliance, security, and quality validations into the automation.
• When teams innovate, help refine and scale those solutions across the org.
• Define the GenAI operating model and engagement with vertical teams.

Skills

GenAI development

Effective communication

Software engineering

CI/CD transformation

Automation pattern design

Education

Bachelor’s degree or equivalent experience

Tools

Validation tools

Automation templates

Experiment design frameworks

Compliance & security tooling

Job description

Sr Software Engineer, GenAI Platform & Practice

Cupertino, California, United States Software and Services

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.

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.

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).
• 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.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

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.

Learn about reasonable accommodations for job applicants.

Apple accepts applications to this posting on an ongoing basis.