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Model Context Protocol Jobs in Edison, NJ (NOW HIRING)

Azure DevOps Engineer - AI Foundry

Manhattan, NY · On-site

$58 - $79.50/hr

Leverage Azure MCP (Model Context Protocol) to enable secure context sharing, orchestration, and tool integration for AI agents * Integrate AI agents with enterprise applications, APIs, and data ...

Senior AI Engineers

Hoboken, NJ · On-site

$114K - $157K/yr

Architect Model Context Protocol (MCP) servers and tool schemas that are legible and safe for LLM agents to use * Define human-in-the-loop checkpoints, autonomy boundaries, and rollback strategies ...

Experience with Small Language Models (SLM), Agent-to-Agent (A2A) communication, and Model Context Protocol (MCP). * Proven ability to architect and scale AI solutions for enterprise workloads (1M ...

Experience with cloud computing, machine learning, deep learning algorithms and Model Context Protocol * Experience with platforms like AWS, Azure, or GCP and can help tailor solutions to the unique ...

Deliver demonstrations of Kong's API & AI governance and agentic connectivity capabilities, including Model Context Protocol (MCP) governance, semantic caching, prompt guardrails, and shadow AI ...

Enterprise AI Architect

Manhattan, NY · On-site

$76 - $98/hr

... Model Context Protocol) servers, reusable AI integration frameworks, and secure connectivity patterns that connect enterprise AI platforms with internal systems, APIs, and data sources. • ...

Java Architect

Jersey City, NJ · On-site

$60 - $65/hr

Hands-on experience leveraging GitHub Copilot or Devin, MCP (Model Context Protocol), and other AI-assisted development tools to improve engineering productivity. * Exposure to designing, developing ...

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Java Architect

Jersey City, NJ · On-site

$60 - $65/hr

Hands-on experience leveraging GitHub Copilot or Devin, MCP (Model Context Protocol), and other AI-assisted development tools to improve engineering productivity. * Exposure to designing, developing ...

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Model Context Protocol information

See Edison, NJ salary details

$10

$32

$69

How much do model context protocol jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for model context protocol in Edison, NJ is $32.47, according to ZipRecruiter salary data. Most workers in this role earn between $19.66 and $40.58 per hour, depending on experience, location, and employer.

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 job categories do people searching Model Context Protocol jobs in Edison, NJ look for?

The top searched job categories for Model Context Protocol jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Model Context Protocol jobs?

Cities near Edison, NJ with the most Model Context Protocol job openings:

Azure DevOps Engineer - AI Foundry

SysMind Tech

Manhattan, NY • On-site

$58 - $79.50/hr

Full-time

Re-posted 20 days ago


Job description

Job Description:
We are seeking an Azure Engineer with hands-on experience in deploying and operating AI agents using Azure AI Foundry and Copilot Studio. The ideal candidate will have a strong foundation in identity management, Azure DevOps, and intermediate-level Python and SQL, along with experience in Azure MCP (Model Context Protocol) for building secure, scalable AI agent solutions.
You will work closely with product, engineering, and security teams to design, deploy, and maintain enterprise-ready AI agents that integrate seamlessly with existing systems and workflows.
Key responsibilities
  • Design, build, deploy, and manage AI agents using Azure AI Foundry and Copilot Studio
  • Implement and configure Copilot Studio agents for business workflows, automation, and user interactions
  • Leverage Azure MCP (Model Context Protocol) to enable secure context sharing, orchestration, and tool integration for AI agents
  • Integrate AI agents with enterprise applications, APIs, and data sources
  • Implement identity and access management (IAM) using Azure AD (Entra ID), managed identities, RBAC, and OAuth flows
  • Work with Azure DevOps to:
    • Create and maintain CI/CD pipelines
    • Manage source control, builds, and releases
  • Automate infrastructure and deployment workflows
  • Develop and maintain backend logic and integrations using Python (intermediate proficiency)
  • Write and optimize SQL queries for data access, analytics, and agent context enrichment
  • Monitor, debug, and optimize AI agent performance, reliability, and cost
  • Ensure security, compliance, and responsible AI practices are followed
  • Collaborate with cross-functional teams to translate business requirements into AI-driven solutions
  • Maintain technical documentation and deployment guidelines

Key competencies
Essential skills
  • Hands-on experience deploying AI agents using Azure AI Foundry
  • Experience building and managing agents in Copilot Studio
  • Experience with Azure MCP (Model Context Protocol) for AI agent architectures
  • Strong understanding of Identity Management:
    • Azure AD (Entra ID)
    • Managed identities
    • Authentication & authorization concepts
  • Experience with Azure DevOps (Repos, Pipelines, Boards, CI/CD)
  • Intermediate experience in Python for backend logic, integrations, and automation
  • Intermediate experience in SQL, including performance tuning and complex queries
  • Good understanding of REST APIs and service integrations
  • Experience working in Agile/Scrum environments
  • Strong problem-solving and analytical thinking
  • Ability to work independently and in cross-functional teams
  • Clear communication and documentation skills
  • Proactive mindset with attention to detail

Nice to Have
  • Experience with Azure services such as:
    • Azure Functions
    • Azure Logic Apps
    • Azure API Management
    • Azure OpenAI
  • Familiarity with prompt engineering and agent orchestration patterns
  • Knowledge of monitoring tools (Azure Monitor, Application Insights)
  • Exposure to enterprise security and compliance standards
  • Experience with versioning, testing, and deployment of AI solutions