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Retrieval Augmented Generation Rag Jobs in Arizona

American Express

AI Engineer III

Phoenix, AZ · On-site

$103K - $174K/yr

Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, with an emphasis on correctness and safety. * Contribute to shared AI infrastructure such as LLM ...

American Express

AI Engineer III - Agentic AI

Phoenix, AZ · On-site

$103K - $174K/yr

Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, with an emphasis on correctness and safety. * Contribute to shared AI infrastructure such as LLM ...

Omega Hires

Java AI Developer / Lead

Phoenix, AZ · On-site

Experience implementing RAG (Retrieval-Augmented Generation) solutions using vector databases such as Pinecone, ChromaDB, Weaviate, Milvus, or FAISS . * Experience integrating AI models such as ...

Troon

AI Platform Architect

Scottsdale, AZ

The AI Platform Architect designs and implements the architecture that connects Troon's data platform to AI-enabled applications, including retrieval-augmented generation (RAG) services, document and ...

Troon Golf

AI Platform Architect

Scottsdale, AZ · On-site

The AI Platform Architect designs and implements the architecture that connects Troon's data platform to AI-enabled applications, including retrieval-augmented generation (RAG) services, document and ...

COOLSOFT

Database Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Provide basic architectural guidance for AI-related data patterns , including embeddings, vector databases/vector search, and Retrieval-Augmented Generation (RAG). * Evaluate emerging database, cloud ...

SolutionIT, Inc.

Database Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Provide basic architectural guidance for AI-related data patterns, including embeddings, vector databases/vector search, and Retrieval-Augmented Generation (RAG). * Evaluate emerging database, cloud ...

McCarthy Holdings, Inc.

AI Engineer II

Phoenix, AZ · On-site

$88K - $121K/yr

Prompt engineering, evaluation methodologies, and retrieval-augmented generation (RAG) patterns. * Experience with Palantir Foundry is strongly preferred, including familiarity with: * Ontology ...

McCarthy Holdings, Inc.

AI Engineer II

Phoenix, AZ · On-site

$88K - $121K/yr

Prompt engineering, evaluation methodologies, and retrieval-augmented generation (RAG) patterns. * Experience with Palantir Foundry is strongly preferred, including familiarity with: * Ontology ...

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AI Engineer III

American Express

Phoenix, AZ • On-site

$103K - $174K/yr

Full-time

Re-posted 23 days ago

American Express rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

25th of 152 rated financial services

Job description


Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.
The Technology organization enables and accelerates the company's growth strategies, delivering global capabilities and services in support of Amex's customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.
At American Express, AI is reshaping the future of commerce and redefining the experiences our commercial customers and card members expect. Within Amex Technology, we are building platforms, products, and governance that enable agentic AI systems to operate responsibly and at scale across the enterprise.
Our focus is on agentic AI development: designing intelligent, adaptive systems that can plan, reason, and act across complex workflows with appropriate levels of autonomy. These systems power autonomous workflows, decision support, and customer-facing experiences-while meeting the high standards for security, explainability, reliability, and compliance required in financial services.
We partner closely with product, design, and business teams to deliver agentic capabilities that reduce operational friction, improve decision-making, and transform how customers interact, transact, and grow.
Responsibilities
As an AI Engineer III - Agentic AI, you will be a hands-on builder contributing to the development of production agentic AI systems that operate on real financial data and serve real customers.
You will work alongside experienced engineers, product managers, and designers to design, build, and ship AI-powered features, while learning how to operate within a regulated, customer-facing environment. This role offers strong mentorship and opportunities to grow your technical depth in LLMs, agentic systems, and production AI engineering.
This is not a research-only role. You will write production code, contribute to system design discussions, and help operate what you build after launch, with support and guidance from more senior engineers.
What You'll Do
  • Contribute to the design and implementation of LLM-powered and agentic product features.
  • Build and extend agentic AI workflows that reason over context, call tools, and perform actions under guidance from senior engineers.
  • Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, with an emphasis on correctness and safety.
  • Contribute to shared AI infrastructure such as LLM services, orchestration components, and evaluation or monitoring tooling.
  • Participate in operating AI systems in production, including monitoring, debugging, and improving reliability and performance.
  • Collaborate closely with product and design partners, learning to translate customer needs into technical solutions.

Technical Environment
  • We don't hire to a narrow checklist, but candidates should be excited to grow in a modern, enterprise-scale engineering environment with a focus on agentic AI.

Core engineering stack
  • Languages: Python, Go, TypeScript
  • Cloud and infrastructure: AWS and/or GCP, Kubernetes
  • APIs and services: REST, gRPC
  • Distributed systems: event-driven architectures, including Kafka

Agentic AI and ML
  • Commercial and open-source LLMs integrated into agentic workflows

  • Tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation

  • Schema validation and structured data handling

AI-assisted development
  • Use of AI-assisted and agentic development tools for design, implementation, testing, debugging, and refactoring

  • Learning how to apply these tools responsibly while maintaining production-quality standards

  • All systems are built to meet high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in a financial services environment.

Qualifications
What We're Looking For
  • 4+ years of professional software engineering experience.

  • Some hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems (professional or project-based).

  • Solid engineering fundamentals in at least one backend language (Python, Go, or TypeScript).

  • Familiarity with APIs, basic cloud concepts, and modern development practices.

  • Interest in agentic AI systems, autonomy, and AI-assisted development workflows.

  • Willingness to learn, take feedback, and grow technical ownership over time.

  • Comfort working in collaborative, cross-functional teams.

  • A strong customer mindset and curiosity about real-world problem solving.

Preferred Qualifications
  • Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks through work, coursework, or personal projects.

  • Internship or early-career experience in fintech or other regulated environments.

  • Contributions to open-source projects, hackathons, or side projects related to AI or developer tooling.

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
About Us
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

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