137 jobs for "AI Engineer - Finance"

Data Engineer (Agentic AI, LLM Training), G&A Solutions Engineering (GSE)

At Apple - Austin

Posted on Oct 19

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AI Finops Development Engineer

At Charles Schwab - Southlake

Posted on Oct 30

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Systems Engineer / Level 6 or Level 7

At Salesforce - Dallas · Indianapolis

Posted on Oct 30

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Finance Machine Learning Engineer - Tech Lead

At Apple - Austin

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Software Engineer III (Java)

At JPMorgan Chase - Jersey City

Posted on Nov 2

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Forward Deployed Secuirty Engineer, Sr

At Toyota North America - Plano

Posted on Oct 13

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AI Security Engineer

At Charles Schwab - Southlake

Posted on Oct 28

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Software Engineer III - iOS Developer- Business Banking

At JPMorgan Chase - Plano

Posted on Oct 30

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AI/ML Engineer (GenAI), G&A Solutions Engineering (GSE)

At Apple - Austin

Posted on Oct 14

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Software Engineer III - Android Developer- Business Banking

At JPMorgan Chase - Plano

Posted on Oct 30

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Lead AI Engineer

At Alight Solutions LLC - Kochi

Posted on Oct 24

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Finops Staff Software Engineer- Eng

At UKG - Noida

Posted on Oct 15

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Senior AI Operations Engineer, Enterprise Tech

At Robinhood - Bellevue · Menlo Park

Posted on Nov 2

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Senior Forward Deployed Engineer (AI Enablement)

At Reddit - Remote / Flexible

Posted on Oct 19

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Lead Forward Deployed Engineer (AI Enablement)

At Reddit - Remote / Flexible

Posted on Oct 19

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Senior Software Engineer, AI Security

At Robinhood - Bellevue · Menlo Park

Posted on Oct 29

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Staff/Sr. Staff AI Engineer - Enterprise AI Solutions

At Palo Alto Networks - Santa Clara

Posted on Apr 24

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PROJECT - Lead Analytics and Insights Engineer II

At Deloitte - Rosslyn

Posted on Sep 1

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AI Automation Engineer

At Hitachi Energy - Bengaluru

Posted on Aug 18

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Software Developer in Test - Assistant Vice President / Vice President

At iCapital - New York

Posted on Jul 14

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Apple

Data Engineer (Agentic AI, LLM Training), G&A Solutions Engineering (GSE)

Austin, TXPosted 19 days ago

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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. The G&A Solutions Engineering organization at Apple primarily focuses on creative ways to engineer business solutions to meet growing needs of Apple's Finance, iTunes, Sales, Retail, and Services organizations. At core, our portfolio comprises of engineered custom solutions to process high volume transactions from Apple Pay, iTunes, Ads, App Store, iPhone Activations to Sales from Retail, Online, and Resellers. These solutions are based on cutting edge enterprise technologies ranging from Distributed Systems, Microservices, Java, Spring/Boot, Oracle, MongoDB, AWS services to AI/ML, Generative AI, and Blockchain. Accurately processing such high volume transactions is our core strength.

Description

The iRecon Payments team is seeking a highly motivated Data Engineer with a strong background in Data Science to drive our Agentic AI initiatives. In this role, you will build robust data pipelines, extract features, and curate high-quality datasets to train custom LLMs. You will navigate complex financial ecosystems to modernize data flows, ensuring accurate reconciliation, invoicing, and payments. You will play a critical role in building GenAI-powered solutions that improve user productivity and operational efficiency.","responsibilities":"Design and build scalable data pipelines to enable Agentic AI solutions and custom LLM training

Perform advanced feature engineering and dataset curation to optimize model performance

Build upstream/downstream integrations with MCP (Model Context Protocol), Knowledge Graphs, and Vector

Databases to support context engineering and retrieval (RAG)

Work with large-scale financial transaction data to ensure precision in reconciliation, disbursements, and receipts

Partner with cross-functional teams to translate business requirements into technical AI solutions

Preferred Qualifications

3+ years of experience building production-grade AI/ML solutions in the FinTech domain

Strong written and verbal communication skills with the ability to articulate complex technical concepts

Demonstrated ability to modernize legacy data systems and adapt to new AI architectures

Experience with "Human-in-the-loop" data workflows for financial operations

Demonstrated ability to quickly learn and adapt to new technologies and tools

Minimum Qualifications

2+ years of experience building machine learning solutions using supervised/unsupervised learning, classification, recommendation systems, and clustering algorithms

In-depth knowledge of transformer architecture, LLMs, and Agentic AI concepts

Hands-on experience fine-tuning Large Language Models (LLMs) using PEFT/LoRA for domain-specific tasks

Proven experience building and extending RAG, MCP (Model Context Protocol), or multi-agent frameworks (e.g., LangChain, LlamaIndex, AutoGen)

Bachelor's degree in Computer Science, AI, Machine Learning, or relevant work experience

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

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