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Model Context Protocol Jobs in New York (NOW HIRING)

SysMind Tech

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 ...

Virtusa Corporation

Lead Software Engineer

New York, NY · On-site

Build hybrid RAG pipelines and secure data access layers via Model Context Protocol (MCP), APIs, and tools like Jira/ServiceNow. Embedded Enterprise Acceleration: Partner with technical and business ...

Virtusa Corporation

Lead Software Engineer

New York, NY · On-site

Build hybrid RAG pipelines and secure data access layers via Model Context Protocol (MCP), APIs, and tools like Jira/ServiceNow. Embedded Enterprise Acceleration: Partner with technical and business ...

TekCommands Inc

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 ...

Saransh Inc

AI Architect - Remote

New York, NY · On-site

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 ...

SolGenie

AI Engineer

Manhattan, NY · On-site

Design and implement Model Context Protocol (MCP)-based integrations so AI assistants and agents can securely discover and connect to internal systems, databases, and services through standardized ...

GRP SCAN Group

Principal AI Security Engineer

Long Beach, NY · On-site

$125.40 - $181.42/hr

  • Retirement

  • PTO

From securing Model Context Protocol (MCP) implementations to building robust guardrails in Azure AI Foundry, you will be the technical authority ensuring our AI identities and data workflows are ...

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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.

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Model Context Protocol jobs near you
Infographic showing various Model Context Protocol job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution.

Azure DevOps Engineer - AI Foundry

SysMind Tech

Manhattan, NY • On-site

$58 - $79.50/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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

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