AI Engineer Jobs in Arizona
AI Engineer jobs in Arizona are in strong demand, concentrated in aerospace and defense, semiconductor manufacturing, financial services, and enterprise software, with openings at every level from entry-level data engineers to senior ML architects. Phoenix, Scottsdale, and Tempe anchor most of the hiring, where established employers like Intel, American Express, and Raytheon Technologies maintain large technology operations. The most sought-after specializations include machine learning infrastructure, natural language processing, and computer vision applied to real-time systems. Find a role that fits below and apply directly.
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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.
The Role
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.
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.
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.
The Role
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.
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.
See All 55 AI Engineer Jobs in Arizona
Find roles in Arizona that match your experience and apply in just a few clicks.
Find AI Engineer JobsAI Engineer Jobs by City in Arizona
Where Arizona roles are concentrated, by current openings.
AI Engineer Job Market in Arizona
A snapshot from current Arizona openings, updated as new roles post.
Who's Hiring
- American Express13
- CNH Industrial3
- Honeywell Aerospace3H
- KLA2
- Cayuse Holdings2
Top Industries Hiring
- Manufacturing
- Hospitality & Tourism
- Technology & Software
- Accounting & Auditing
- Electronics & Hardware
What Arizona Employers Look For
The qualifications that appear most often in AI engineer jobs across Arizona.
- Bachelor's or master's degree in computer science, data science, or a related engineering field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Hands-on experience designing, training, and deploying production machine learning models
- Familiarity with cloud platforms, particularly AWS, Azure, or Google Cloud AI services
- Experience with MLOps practices including model monitoring, versioning, and pipeline automation
- Strong understanding of data structures, algorithms, and statistical modeling principles
AI Engineer Jobs in Arizona: Frequently Asked Questions
How do you become a ai engineer in Arizona?
Most ai engineer roles in Arizona require at least a bachelor's degree in computer science, data science, electrical engineering, or a related technical field, though many employers prefer a master's degree for senior positions. Arizona does not issue a state-specific license for ai engineers, so the path centers on building a portfolio of deployed models, completing relevant certifications from cloud providers like AWS or Google, and targeting the technology, defense, and financial services employers concentrated in the Phoenix metro.
Which companies hire ai engineers in Arizona?
Employers hiring ai engineers in Arizona right now include American Express, CNH Industrial, and Honeywell Aerospace, based on current listings on Migrate Mate as of September 2026. Arizona's mix of semiconductor manufacturers, defense contractors, and major financial institutions means demand reaches well beyond pure technology companies into industries applying AI to hardware, logistics, and customer analytics.
Which Arizona cities have the most ai engineer jobs?
Phoenix, Tempe, and Chandler have the most ai engineer openings in Arizona. Phoenix drives the largest share through its concentration of corporate technology centers, financial services headquarters, and defense contractors, while Scottsdale and Tempe attract demand from fintech firms, university-affiliated research, and the growing startup ecosystem anchored near Arizona State University.
Are there remote ai engineer jobs in Arizona?
Yes, and more than most fields. About 80% of ai engineer openings tied to Arizona are remote or hybrid as of September 2026, reflecting how much of the work involves writing code, training models, and running experiments entirely in cloud environments. Roles focused on model development, research, and data pipeline engineering tend to offer the most remote flexibility, while positions requiring hardware integration or on-site collaboration at defense facilities are typically on-site.
How can I get hired as a ai engineer in Arizona with little or no experience?
The most realistic entry path is through a machine learning or data engineering role at one of Arizona's large technology employers, where new graduates can join rotational or associate programs. Intel's early career programs in Chandler and American Express's technology associate tracks in Phoenix are examples of structured pipelines designed for candidates without professional experience. Building a public GitHub portfolio with end-to-end model projects, earning an entry-level cloud certification, and targeting roles with titles like junior data scientist or ML engineer associate significantly strengthens an application against candidates with more experience.
Where can I find and apply to ai engineer jobs in Arizona?
You can find and apply to ai engineer jobs in Arizona on Migrate Mate, which lists current Arizona openings across industries and experience levels. Find roles that fit your background and apply directly to employers without creating an account or going through an intermediary.
See All 55 AI Engineer Jobs in Arizona
Find roles in Arizona that match your experience and apply in just a few clicks.
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