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Ai Integration Engineer Jobs in Arizona (NOW HIRING)

State Farm

Lead GenAI Engineer (LLM)

Tempe, AZ · Hybrid

$98K - $129K/yr

Build AI-Integrated APIs -- Develop and maintain robust APIs (REST, FastAPI, etc.) serving as the backbone for AI applications, orchestration, and downstream consumers * Engineer Data & Analytics ...

EMCOR Group, Inc.

AI Security Engineer

Phoenix, AZ · On-site

$134 - $171/hr

Job Summary EMCOR Group, Inc. seeks an AI Security Engineer who will be responsible for securing ... Conduct threat modeling for AI systems and integrations and translate threats into technical ...

New

Intel

IP Enablement Application Engineer

Phoenix, AZ

With a focus on scalability, AI advancement, and shaping the future, we provide an unparalleled ... Key Responsibilities IP Integration & Customer Support * Provide comprehensive technical support to ...

Deloitte

Google AI Architect

Tempe, AZ

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.

Deloitte

Google AI Architect

Gilbert, AZ

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.

Deloitte

Google AI Lead Architect

Tempe, AZ · On-site

$53 - $72.50/hr

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.

Entertainment Partners

AI Engineer

Tempe, AZ · On-site

The AI Engineer is responsible for building, training, evaluating, and deploying AI/ML models and ... LLM Integration & Agentic Systems * Design and implement LLM-powered agentic workflows using ...

Entertainment Partners

AI Engineer

Tempe, AZ · On-site

The AI Engineer is responsible for building, training, evaluating, and deploying AI/ML models and ... LLM Integration & Agentic Systems * Design and implement LLM-powered agentic workflows using ...

Globe Telecom, Inc.

AI Engineer

Globe, AZ · On-site

$92K - $126K/yr

Broad System Integration: Design reusable components and microservices that connect seamlessly with legacy environments and cloud frameworks. * Modern DevOps Handover: Partner with operations and ...

New

Judge Group, Inc.

Software Engineer

Phoenix, AZ · On-site

$53 - $57/hr

Software Engineer - Full Stack .NET Developer We are not accepting C2C or 1099 arrangements ... AI integration initiatives. The selected candidate will work as a core member of an agile ...

Staffingine LLC

AI Engineer

Phoenix, AZ · On-site

... tools Integrate and manage APIs to support AI applications and services Collaborate with ... engineers and stakeholders to ensure project success Continuously monitor and improve AI system ...

Accenture

SCADA Migration & Integration Lead

Scottsdale, AZ · On-site

$71.25 - $92/hr

... AI to create value at speed across the enterprise, bringing together the talent of our ... We are Supply Chain and Engineering: We embed innovation, intelligence, and sustainability in the ...

Trinite Consulting Group LLC

AI/ML Engineer

Phoenix, AZ · On-site

$55/hr

AI/ML Engineer Location: Scottsdale, AZ or Dallas, TX (HYBRID) Duration: Long Term Contract Rate ... This role involves developing MCP servers and agents, integrating LLMs, and implementing RAG ...

Honeywell International, Inc.

Lead AI Engineer

Phoenix, AZ · On-site

$96K - $127K/yr

As a Lead AI Engineer here at Honeywell Aerospace, you will spearhead the design, development, and ... In this role, you will impact the advancement of aerospace technologies by integrating AI-driven ...

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Showing results 21-40

All JobsAi Integration Engineer JobsAi Integration Engineer Jobs in Arizona

Ai Integration Engineer information

See Arizona salary details

$41.5K

$115.8K

$161.7K

How much do ai integration engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for ai integration engineer in Arizona is $115,810.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $130,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by AI integration engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

What are the key skills and qualifications needed to thrive as an AI integration engineer, and why are they important?

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

What is the difference between Ai Integration Engineer vs Data Scientist?

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

What is an AI integration engineer?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.

Are AI Integration Engineers highly paid?

AI Integration Engineers typically earn higher-than-average salaries due to their specialized skills in AI systems, programming, and data analysis. Compensation varies based on experience, location, and industry, but they are generally well-compensated compared to many other engineering roles.

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

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

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

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

What cities in Arizona are hiring for Ai Integration Engineer jobs?

Cities in Arizona with the most Ai Integration Engineer job openings:

Ai Integration Engineer jobs near you
Infographic showing various Ai Integration Engineer job openings in Arizona as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $115,810 per year, or $55.7 per hour.

Lead GenAI Engineer (LLM)

State Farm

Tempe, AZ • Hybrid

$98K - $129K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 21 days ago

State Farm rating

7.3

Company rating: 7.3 out of 10

Based on 1,553 frontline employees who took The Breakroom Quiz

236th of 306 rated insurance

Job description

Overview

Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!

HYBRID: Qualified candidates must live or relocate within a 180-mile radius of a hub location listed below and should plan to spend time working from home and some time working in the office as part of our hybrid work environment.
HUB LOCATIONS: Bloomington, IL; Dunwoody, GA; Richardson, TX; or Tempe, AZ 

SPONSORSHIP:  Applicants for this position are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity


Grow Your Skills, Grow Your Potential
Responsibilities

State Farm’s contact centers serve as the main connection to customers, agents, and associates, handling 10’s of millions of contacts annually. Our team is building the next generation of AI and GenAI systems that put insights, intelligent applications, and automated workflows into the hands of enterprise leaders. We work at the frontier of large language models, agentic architectures, and cloud-native AI — delivering solutions that are reliable, explainable, and that enhance human decision making. Join us if you want to see your code drive decisions at scale and help customers in their time of greatest need.

In This Role, You Will:

  • Design & Deploy AI/GenAI Solutions — Architect and implement LLM-powered applications, agentic workflows, & RAG pipelines using AWS Bedrock and AgentCore
  • Build AI-Integrated APIs — Develop and maintain robust APIs (REST, FastAPI, etc.) serving as the backbone for AI applications, orchestration, and downstream consumers
  • Engineer Data & Analytics Pipelines — Build pipelines that feed AI/ML systems with clean, governed, and well-structured data from enterprise sources
  • Build on Amazon Bedrock AgentCore primitives — Runtime, Gateway (MCP), Memory, and Code Interpreter — to deliver streaming, stateful, tool-using agents in production.
  • Champion Responsible AI — Apply prompt engineering best practices, implement guardrails, evaluate model outputs (Promptfoo, RAGAS), and ensure compliance with enterprise AI governance standards
  • Drive Full Stack AI Applications — Build and maintain cloud-native web applications that surface AI capabilities to end users, including chat interfaces, dashboards, and automation tools
  • Implement DevSecOps for AI — Integrate AI workloads into CI/CD pipelines, apply secure coding standards, and implement observability for model behavior and inference performance
  • Enhance User Experience — Design intuitive AI-powered interfaces that are accessible, explainable, and trusted by end users
  • Document & Share Knowledge — Author technical documentation, evaluation frameworks, and contribute to internal AI communities of practice
  • Mentor & Lead — Provide technical guidance, code reviews, and foster a culture of responsible AI innovation

Qualifications

Preferred Skills

  • Hands-on experience building LLM-powered applications, RAG pipelines, or agentic systems
  • Strong foundation in software engineering: design, development, testing, and deployment of enterprise-grade applications
  • Experience with cloud architecture (AWS preferred), Git version control, and performance optimization
  • Experience with multi-agent orchestration patterns and tool-use frameworks (function calling, MCP)
  • Proficiency in Python and/or TypeScript for API and AI integration development
  • Familiarity with prompt engineering, model evaluation, and AI safety/guardrails
  • Experience writing clear technical documentation, test cases, and evaluation frameworks
  • Proficiency with AI-assisted development tools (GitHub Copilot) to accelerate delivery
  • Strong communication skills with the ability to explain AI concepts to non-technical stakeholders
  • Demonstrate initiative in learning emerging AI technologies and contributing to team knowledge

Ideal Candidates Also Have

  • Background in insurance, financial services, or regulated industries
  • Familiarity with cloud Contact Center applications
  • Experience productionizing LLMs or GenAI features in regulated industries (insurance, financial services, healthcare)
  • Familiarity with AI governance, responsible AI frameworks, and enterprise

Our Benefits

Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!

  • Potential starting salary range: $81,000 - $142,000 (Starting salary will be based on skills, background, and experience. High end of the range limited to applicants with significant relevant experience.)
  • Potential yearly incentive pay up to 15% of base salary

At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!

  • Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
  • Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
  • Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
  • Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
  • Take a Little “You” Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
  • Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
  • Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.

Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!

Qualifications:

Preferred Skills

  • Hands-on experience building LLM-powered applications, RAG pipelines, or agentic systems
  • Strong foundation in software engineering: design, development, testing, and deployment of enterprise-grade applications
  • Experience with cloud architecture (AWS preferred), Git version control, and performance optimization
  • Experience with multi-agent orchestration patterns and tool-use frameworks (function calling, MCP)
  • Proficiency in Python and/or TypeScript for API and AI integration development
  • Familiarity with prompt engineering, model evaluation, and AI safety/guardrails
  • Experience writing clear technical documentation, test cases, and evaluation frameworks
  • Proficiency with AI-assisted development tools (GitHub Copilot) to accelerate delivery
  • Strong communication skills with the ability to explain AI concepts to non-technical stakeholders
  • Demonstrate initiative in learning emerging AI technologies and contributing to team knowledge

Ideal Candidates Also Have

  • Background in insurance, financial services, or regulated industries
  • Familiarity with cloud Contact Center applications
  • Experience productionizing LLMs or GenAI features in regulated industries (insurance, financial services, healthcare)
  • Familiarity with AI governance, responsible AI frameworks, and enterprise
Education:UNAVAILABLEEmployment Type: FULL_TIME

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