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Model Context Protocol Jobs in Arizona (NOW HIRING)

Test Automation Engineer

Phoenix, AZ · On-site

$44.25 - $58.50/hr

Model Context Protocol (MCP) * BDD Frameworks * TestNG * TestX * Java * API Automation experience * Git and CI/CD knowledge Responsibilities * Design and develop automated test frameworks using ...

Knowledge of MCP (Model Context Protocol) or AI agent architectures. * Experience with Python for AI integration is a plus. * Exposure to LLM observability, AI security, and Responsible AI practices.

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Software Engineer

Phoenix, AZ · On-site

$49 - $53/hr

Develop agent-based solutions using modern AI frameworks, Retrieval-Augmented Generation (RAG), GraphRAG, and Model Context Protocol (MCP). * Create and maintain streaming and batch data pipelines ...

Agentic Software Engineer II

Scottsdale, AZ · On-site

$98K - $134K/yr

Use and improve Model Context Protocol (MCP) integrations and internal agentic workflows that connect AI agents to our tools and services. * Measure what you build: Define success metrics and ...

Senior Agentic Software Engineer

Scottsdale, AZ · On-site

$123K - $162K/yr

Design Model Context Protocol integrations that connect AI agents to internal tools, data, and platform services across the development lifecycle. * Lead distributed systems: Lead improvements to ...

Mulesoft Developer

Scottsdale, AZ · On-site

$50.75 - $67.25/hr

Experience with Model Context Protocol (MCP), agentic integration patterns, and GenAI-assisted API development, testing, documentation, or code generation. * Experience with enterprise application ...

Design Model Context Protocol integrations that connect AI agents to internal tools, data, and platform services across the development lifecycle. * Lead distributed systems: Lead improvements to ...

Build and configure Model Context Protocol (MCP) integrations that connect AI agents to internal tools, data sources, and platform services * Revitalize services and architectures that have outlasted ...

Architect Model Context Protocol (MCP) integrations connecting AI agents to internal tools, data sources, and platform services * Lead improvements to development and operations of an increasingly ...

Build and configure Model Context Protocol (MCP) integrations that link AI agents to internal tools, data sources, and platform services. * Scale the architecture: Contribute to the development and ...

Agentic Software Engineer III

Scottsdale, AZ · On-site

$58 - $77.75/hr

Build and configure Model Context Protocol (MCP) integrations that link AI agents to internal tools, data sources, and platform services. * Scale the architecture: Contribute to the development and ...

AI Trainer - Remote

Phoenix, AZ · Remote

$80 - $120/hr

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

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... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

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... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

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... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

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... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

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Model Context Protocol information

What is the difference between Model Context Protocol vs Data Analyst?

AspectModel Context ProtocolData Analyst
Required CredentialsKnowledge of data modeling, API protocols, and software developmentBachelor's degree in statistics, mathematics, or related field
Work EnvironmentTechnical teams, software development, AI/ML projectsBusiness intelligence, reporting, data visualization
Industry UsageTech, AI, software developmentFinance, marketing, healthcare, business
Search & Comparison IntentUnderstanding technical protocols for AI modelsAnalyzing data for insights and decision-making

The Model Context Protocol focuses on technical data exchange and AI model integration, requiring programming and API knowledge. In contrast, Data Analysts interpret data to generate reports and insights, often working with business tools. Both roles involve data but serve different functions within organizations.

What are popular job titles related to Model Context Protocol jobs in Arizona?

For Model Context Protocol jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Model Context Protocol jobs in Arizona look for?

The top searched job categories for Model Context Protocol jobs in Arizona are:

What cities in Arizona are hiring for Model Context Protocol jobs?

Cities in Arizona with the most Model Context Protocol job openings:

Infographic showing various Model Context Protocol job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Lead Java Developer - AI & Full Stack Solutions

Cliff Services Inc

Phoenix, AZ • On-site

$52.25 - $67.25/hr

Other

Posted 21 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.