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Augmented Reality Ai Jobs in Arizona (NOW HIRING)

Lead AI Engineer

Phoenix, AZ · On-site

$147K - $202K/yr

Design and implement production AI platform capabilities, including agents, retrieval-augmented ... Experience with Autodesk construction and building platforms, BIM, geospatial systems, reality ...

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ... experiences like augmented and virtual reality to help build the next evolution in social ...

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ... experiences like augmented and virtual reality to help build the next evolution in social ...

Collaborate with engineering, data center, backbone, AI, and equipment vendors to integrate new ... experiences like augmented and virtual reality to help build the next evolution in social ...

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ... experiences like augmented and virtual reality to help build the next evolution in social ...

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ... experiences like augmented and virtual reality to help build the next evolution in social ...

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ... experiences like augmented and virtual reality to help build the next evolution in social ...

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ... experiences like augmented and virtual reality to help build the next evolution in social ...

Augmented Reality Ai information

What is an augmented reality AI specialist?

An Augmented Reality (AR) AI specialist is a professional who combines artificial intelligence (AI) with augmented reality technologies to create interactive, intelligent digital experiences that overlay information or objects onto the real world. They design and develop AR applications that use AI to recognize images, interpret environments, or personalize user experiences. These specialists typically work in industries like gaming, education, retail, and healthcare, helping to bridge the gap between digital data and the physical world.

What are the key skills and qualifications needed to thrive as an augmented reality AI engineer?

To thrive as an Augmented Reality AI Engineer, you need expertise in computer vision, machine learning, 3D modeling, and programming languages such as Python, C++, or Unity, often supported by a relevant degree in computer science or engineering. Familiarity with AR development platforms (like ARKit, ARCore, or Unity), AI frameworks (such as TensorFlow or PyTorch), and experience with hardware integration are typical requirements. Creativity, problem-solving, and strong collaboration skills help drive innovation and seamless user experiences in AR environments. These combined skills are crucial for developing robust, interactive AR applications that effectively leverage AI technologies.

What are the typical challenges faced when integrating AI into augmented reality projects?

Integrating AI into AR projects often involves navigating challenges such as optimizing performance on mobile devices, ensuring real-time data processing, and maintaining seamless user experiences. Collaboration with cross-functional teams—including software engineers, designers, and data scientists—is essential to address these complexities. Additionally, professionals in this role must adapt to rapidly evolving technologies and troubleshoot unique issues that arise from combining AI models with AR platforms. Staying up-to-date with the latest advancements and fostering strong communication within the team are key to overcoming these challenges.

What is the difference between Augmented Reality Ai vs Augmented Reality Developer?

AspectAugmented Reality AiAugmented Reality Developer
Required CredentialsTypically degrees in AI, computer science, or related fields; certifications in AI and machine learningDegrees in computer science, software engineering, or related fields; experience with AR development tools
Work EnvironmentResearch labs, tech companies, AI-focused startupsDesign studios, tech companies, software development firms
Industry UsageAI integration in AR applications, data analysis, machine learning modelsCreating AR applications, user experience design, app development

Augmented Reality Ai focuses on integrating AI and machine learning into AR systems, often involving data analysis and intelligent features. In contrast, Augmented Reality Developers primarily design and build AR applications, emphasizing programming and user experience. Both roles are essential in AR technology but serve different functions within the industry.

What cities in Arizona are hiring for Augmented Reality Ai jobs?

Cities in Arizona with the most Augmented Reality Ai job openings:

Infographic showing various Augmented Reality Ai job openings in Arizona as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Lead Java Developer - AI & Full Stack Solutions

Cliff Services Inc

Phoenix, AZ • On-site

$52.25 - $67.25/hr

Other

Posted 28 days ago


Job description

Job Title: Lead Java Developer AI & Full Stack Solutions

Location: Phoenix, AZ (Onsite / Hybrid)

Employment Type: Contract

Job Summary

We are looking for a highly skilled Lead Java Developer with expertise in Artificial Intelligence (AI), Generative AI (LLMs, RAG, MCP), and Full Stack Development to design and build next-generation enterprise applications. In this role, you will lead the architecture, engineering, and deployment of resilient, AI-powered enterprise microservices and customer-facing web applications.

The ideal candidate brings strong hands-on experience in Java core platform engineering, integration with modern AI architectures (Retrieval-Augmented Generation, Model Context Protocol, and Large Language Models), and modern frontend frameworks (React/Angular/Node.js).

Key Responsibilities
  • Technical Leadership & Architecture: Lead the end-to-end design, development, and architectural delivery of scalable, secure Java-based backend microservices integrated with advanced AI/LLM capabilities.

  • AI & LLM Integration: Design and implement RAG (Retrieval-Augmented Generation) pipelines, integrate MCP (Model Context Protocol) servers/tools, vector databases, and enterprise LLM orchestration framework (e.g., Spring AI, LangChain4j, Semantic Kernel).

  • Full Stack Execution: Oversee and contribute to full stack development-connecting modern frontend frameworks (React.js, Angular, or Vue.js) with AI-enhanced RESTful and GraphQL APIs.

  • Enterprise Security & Governance: Implement enterprise-grade security, data protection, privacy controls, and API governance suitable for large-scale financial and payment systems.

  • Engineering Best Practices: Drive code reviews, automated unit/integration testing, CI/CD pipeline automation, observability/monitoring, and performance tuning across the cloud stack (AWS/Google Cloud Platform/Azure).

  • Mentorship & Collaboration: Guide and mentor software engineers, partner closely with Data Scientists, AI Engineers, Product Managers, and Solution Architects to translate business requirements into technical reality.

Required Qualifications
  • Education: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

  • Core Java Leadership: 8+ years of hands-on Java engineering experience (Java 17/21, Spring Boot, Spring Cloud, Microservices, Event-driven architecture with Kafka/RabbitMQ).

  • AI / GenAI Expertise: 2+ years of practical experience integrating AI capabilities into enterprise applications:

    • Building RAG pipelines utilizing Vector Databases (e.g., Pinecone, Milvus, pgvector, Qdrant).

    • Hands-on familiarity with MCP (Model Context Protocol) standards, tools, and agentic workflows.

    • Integration with LLM APIs (OpenAI, Anthropic Claude, Llama, Bedrock, Vertex AI) using Spring AI or LangChain4j.

  • Full Stack Development: Proficiency in frontend web technologies (React.js, Angular, TypeScript, HTML5/CSS3) and backend API integrations.

  • Cloud & DevOps: Deep expertise in Cloud platforms (AWS/Azure/Google Cloud Platform), Docker, Kubernetes, CI/CD pipelines (Jenkins/GitHub Actions), and infrastructure-as-code.

  • Location: Based in or willing to work onsite/hybrid in Phoenix, AZ.