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Model Context Protocol Jobs in Massachusetts (NOW HIRING)

We are building a next-generation Agentic AI Framework that integrates Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, Machine Learning, and advanced orchestration on top of our ...

Senior AI Security Engineer

Boston, MA ยท On-site +1

$124K - $170K/yr

Lead security architecture reviews for MCP (Model Context Protocol) integrations - evaluating tool definitions, server trust boundaries, prompt injection attack surfaces, and tool call authorization ...

We are building a next-generation Agentic AI Framework that integrates Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, Machine Learning, and advanced orchestration on top of our ...

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

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

Frontend Developer - Remote

Boston, MA ยท 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 ...

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

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

AI Technical Trainer - Remote

Boston, MA ยท 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 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 Massachusetts?

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

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

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

Infographic showing various Model Context Protocol job openings in Massachusetts as of September 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

AI Development & Agent Ops -- Senior Principal Software Engineer (Hopkinton)

Hopkinton, MA โ€ข On-site

$137K - $190K/yr

Full-time

Posted 21 days ago


Job description

Design and build the services and platforms that enable 9,000 engineers to utilize AI agents at scale within the SDLC. This includes engineering the agentic harness, managing the agent lifecycle framework, and defining technical standards for knowledge base content.

Requirements

Requires over 10 years of software engineering experience with deep expertise in CI/CD, DevOps, and the current AI/agentic landscape. Candidates should have a proven ability to solve ambiguous problems and experience working cross-functionally in large enterprise environments.

Key Skills
  • Software Engineering
  • CI/CD
  • DevOps
  • AI Agent Development
  • Platform Engineering
  • Model Context Protocol (MCP)
  • LLM Token Economics
  • Developer Tooling
  • Agentic SDLC
  • Orchestration
  • Observability
  • Technical Documentation
  • Cross-functional Collaboration
  • AI Governance
  • Release Management
  • System Architecture
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