276 jobs for "Business Systems AI Intern"

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Software Engineer - ACM Platform & AML Services, IS&T Ai & Data Platforms

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Full-Stack Engineer 5 (Python, AWS, AI) (Cloud Operations Resilience Engineering)

At Capital One - McLean · Plano

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Senior Manager, Full-stack Engineer - Finance Tech, AI Powered Platforms

At Capital One - Cambridge · McLean

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Full-stack Engineer 5 (AI Platform & Knowledge Library) (Enterprise Platforms Technology)

At Capital One - New York · McLean

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Apple

Software Engineer, AML, Ai & Data Platforms (AiDP)

Sunnyvale, CA$150,400 – $225,300Posted 20 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

As part of the ACM Platform team, you will design, develop, and operate high-throughput, low-latency distributed services that support more than 1,500 internal users across Apple. You will work closely with engineering, product, fraud analysts, and business partners to build scalable platform capabilities that improve fraud detection and case management.

Description

We are looking for a highly motivated Software Engineer to join the ACM Platform and AML Services team. This role will design and build distributed backend services that power Apple's fraud prevention platform across multiple lines of business, including Apple Store Online, Apple Media Products, Apple Cash Wallet, AppleCare, and other strategic initiatives.

The ideal candidate is a self-starter who enjoys solving complex distributed systems problems, embraces AI-driven development, and is passionate about building scalable cloud-native platforms.

","responsibilities":"Design and develop scalable backend services using Java and distributed system principles.

Build and maintain high-throughput APIs, batch processing pipelines, and Mass Action services for fraud operations and NPI events.

Develop new platform capabilities for ACM Next Gen, Sky Vault, and AML Services.

Lead the engineering work required for compliance, including:

Building ACM infrastructure on Alibaba Cloud.

Supporting Kubernetes, OpenSearch, Solr, Kafka, and other platform components.

Migrating AWS-based services to Alibaba Cloud services including OSS, ACK, and ApsaraMQ.

Replacing AWS SDKs with Alibaba Cloud SDKs.

Implementing China-specific data routing and ingestion logic.

Updating deployment automation, CI/CD pipelines, and load testing for the Alibaba Cloud environment.

Design reliable, scalable, and observable distributed systems with strong operational excellence.

Partner with Product, Architecture, and partner engineering teams to define technical solutions and platform direction.

Use AI tools and modern engineering practices to improve development productivity, code quality, automation, and platform innovation.

Participate in production support, debugging, performance tuning, and operational improvements.

Preferred Qualifications

Experience working with public cloud platforms and SaaS architectures.

Strong understanding of CI/CD, deployment automation, and production operations.

Experience designing high-throughput, low-latency APIs and distributed services.

Familiarity with AI concepts, LLM-based development tools, and AI-assisted software engineering.

Strong problem-solving skills with the ability to independently drive complex technical initiatives.

Excellent communication and collaboration skills across cross-functional teams.

Self-starter with a strong sense of ownership, accountability, and bias for execution.

Experience with Kafka, OpenSearch, or Solr

Experience with Cassandra or any other Nosql DB

Minimum Qualifications

4+ years of software engineering experience building large-scale backend systems.

Strong Java development experience with modern JDK versions.

Deep understanding of distributed systems, concurrency, scalability, and fault-tolerant architectures.

Experience building cloud-native applications on Kubernetes.

BS in Computer Science, Engineering, or a technical related field, or international degree equivalent

Pay & Benefits

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 $150,400 and $225,300, 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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