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Associate Ai Infrastructure Engineer Jobs in Arizona

American Express

Sr AI Engineer I

Phoenix, AZ · On-site

$123K - $215K/yr

Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and ... Core engineering stack * Languages: Python, Go, TypeScript * Cloud and infrastructure: AWS and/or ...

American Express

Sr AI Engineer I

Phoenix, AZ

$103K - $142K/yr

Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and ... Core engineering stack * Languages: Python, Go, TypeScript * Cloud and infrastructure: AWS and/or ...

American Express

Sr AI Engineer II - Agentic AI

Phoenix, AZ · On-site

$123K - $215K/yr

Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and ... Core engineering stack * Languages: Python, Go, TypeScript * Cloud and infrastructure: AWS and/or ...

Deloitte

Senior AI Engineer - SFL Scientific

Tempe, AZ

$100K - $137K/yr

Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns * Define and lead technology proof of concepts to ensure feasibility of new data and cloud ...

American Express

Senior AI Engineer I

Phoenix, AZ · On-site

$123K - $215K/yr

Senior AI Engineer I - Agentic AI Joining Amex Tech means discovering and shaping your contribution ... Cloud and infrastructure: AWS and/or GCP, Kubernetes. * APIs and services: REST, gRPC.

YO AI Labs

DevOps Expert - Remote

Phoenix, AZ · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform ...

American Express

Sr AI Engineer I

Phoenix, AZ · On-site

$123K - $215K/yr

Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and ... Core engineering stack Languages: Python, Go, TypeScript Cloud and infrastructure: AWS and/or GCP ...

YO AI Labs

Mental Health Expert - Remote

Phoenix, AZ · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure.

American Express

AI Engineer III

Phoenix, AZ · On-site

$57 - $76.75/hr

Contribute to shared AI infrastructure such as LLM services, orchestration components, and ... Core engineering stack * Languages: Python, Go, TypeScript * Cloud and infrastructure: AWS and/or ...

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All JobsAssociate Ai Infrastructure Engineer JobsAssociate Ai Infrastructure Engineer Jobs in Arizona

Associate Ai Infrastructure Engineer information

What is the difference between Associate Ai Infrastructure Engineer vs Data Engineer?

AspectAssociate Ai Infrastructure EngineerData Engineer
Required CredentialsBachelor's in CS, Engineering, or related field; familiarity with cloud platformsBachelor's in CS, Data Science, or related; strong programming skills
Work EnvironmentAI/ML teams, cloud environments, infrastructure setupData pipelines, database management, data processing systems
Employer & Industry UsageTech companies, AI startups, cloud service providersTech firms, finance, healthcare, data-driven industries

Associate Ai Infrastructure Engineers focus on building and maintaining AI infrastructure, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate, but their core responsibilities differ in infrastructure versus data processing.

How much do associate AI infrastructure engineers make?

Associate AI infrastructure engineers typically earn between $70,000 and $100,000 annually, depending on experience, location, and company size. Entry-level roles may start lower, while those with specialized skills in cloud platforms, machine learning tools, or certifications can earn higher salaries.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in Arizona?

The most popular types of Ai Infrastructure Engineer jobs in Arizona are:

What are popular job titles related to Associate Ai Infrastructure Engineer jobs in Arizona?

For Associate Ai Infrastructure Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Associate Ai Infrastructure Engineer jobs in Arizona look for?

The top searched job categories for Associate Ai Infrastructure Engineer jobs in Arizona are:

What cities in Arizona are hiring for Associate Ai Infrastructure Engineer jobs?

Cities in Arizona with the most Associate Ai Infrastructure Engineer job openings:

Associate Ai Infrastructure Engineer jobs near you
Infographic showing various Associate Ai Infrastructure Engineer job openings in Arizona as of June 2026, with employment types broken down into 57% Full Time, 39% Part Time, 2% Temporary, and 2% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution.

Sr AI Engineer I

American Express

Phoenix, AZ • On-site

$123K - $215K/yr

Full-time

Re-posted 24 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 154 rated financial services

Job description


The U.S. Consumer and Digital Technology (USCDT) Team brings together foundational strategic technology capabilities in digital experience engineering (Mobile and Web), AI/ML, marketing technology, enterprise communications, travel and lifestyle, and automation, grounded in our data technology model that prioritizes data governance. It employs a ground-breaking focus with development responsibilities for customer-facing capabilities that deepen and expand digital engagement, as well as core technical capabilities that cut across business lines and customer segments.
American Express Ads, Offers, and Dining Technology (AODT) brings together our advertising, offers, and dining platforms to elevate the Membership experience. The team drives the expansion of Amex Offers, the development of innovative digital advertising capabilities, and leads the end-to-end technology integration and platform development of our dining services-including Resy, Tock, and Rooam - to create seamless connections between diners, restaurants, and the broader American Express Membership ecosystem.
As part of Team Amex, you'll experience a culture built on innovation, shared values, and an unwavering commitment to back our customers and colleagues. You'll have the support, flexibility, and autonomy to make an impact while helping shape the future of how people discover, book, and enjoy dining experiences worldwide.
As a Senior AI Engineer - Agentic AI, you will be a core builder responsible for turning complex, ambiguous problems into production-grade agentic systems that operate on real financial data, serve real customers, and meet real regulatory requirements.
You will work end to end: shaping solutions with product and design, building and shipping production code, and owning what you deliver after launch. The scope of this role spans customer-facing LLM-powered features, agentic systems that automate financial workflows, and internal AI capabilities that enable other engineers to build with AI safely and efficiently.
This is not a research-only role. We are looking for engineers who are comfortable operating with autonomy, exercising sound judgment, and pushing the technical envelope within the realities of a regulated financial environment.
Responsibilities
What You'll Do
  • Design, build, and ship LLM-powered and agentic product features that change how customers manage their finances.

  • Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure.

  • Architect and implement production-grade RAG pipelines over sensitive financial data, with strict requirements for correctness, auditability, and safety.

  • Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation and monitoring tooling, that scales agentic development across Amex Technology.

  • Own the systems you build in production, including reliability, latency, cost, and failure modes.

  • Work closely with product and design partners; engineers in this role are expected to think in terms of customer outcomes, not just technical execution.

Technical Environment
We don't hire to a narrow checklist, but candidates should be comfortable operating in a modern, enterprise-scale environment with a strong emphasis 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

  • Strong schema, validation, and state management practices

AI-assisted development
  • Fluency with AI-assisted and agentic development workflows for design, implementation, testing, debugging, and refactoring

  • Thoughtful use of these tools while maintaining production-quality engineering 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
  • 5+ years of software engineering experience, including meaningful production experience with LLMs or applied ML systems.

  • A track record of shipping AI-powered or agentic systems that real users depend on.

  • Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.

  • Hands-on experience with modern LLM tooling and agentic patterns and architectures.

  • Fluency with AI-assisted and agentic development workflows.

  • Strong sense of ownership and sound technical judgment.

  • Comfort operating with ambiguity and turning it into shipped reliable product.

  • A strong product mindset and customer orientation.

Preferred Qualifications
  • Experience building agentic systems in fintech or other regulated industries.

  • Experience as a founding engineer or early technical contributor in high-growth environments.

  • Demonstrated ability to ship technically complex systems in regulated contexts that customers actively rely on.

  • Meaningful open-source contributions, particularly in AI or developer tooling.

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.

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