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Model Context Protocol Jobs in Massachusetts (NOW HIRING)

Kong

Staff Solutions Engineer - Northeast

Boston, MA · On-site

... Model Context Protocol (MCP) governance, semantic caching, prompt guardrails, and shadow AI detection. • Run API & AI-focused Technical Feasibility Workshops (TFWs) to validate Kong's fit for ...

Lorvenk Technologies LLC

AI Engineer

Boston, MA · On-site

W2/C2C This role focuses on developing AI applications powered by large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP) servers, and Agentic AI across the ...

New

SS&C

Director, AI Platform Engineering

Boston, MA · On-site

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 ...

Wsgr

Senior AI Security Engineer

Boston, MA · 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 ...

SS&C

Director, AI Platform Engineering

Waltham, MA · On-site

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 ...

Doist

Senior Software Engineer, Agentic AI

Boston, MA · On-site

$140 - $200/hr

Create Model Context Protocol integrations connecting Octo to security tools, developer environments, and AI coding assistants like Cursor and GitHub Copilot * LLM Prompt Engineering: Develop and ...

New

DigitalOcean

Staff AI Architect

Boston, MA · On-site

Define how agents discover and invoke capabilities, built on open standards such as the Model Context Protocol: versioned, schema-defined tools with clear ownership, and evaluation gates before ...

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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 Massachusetts as of August 2026, with employment types broken down into 2% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Generative AI Engineer - Boston, MA, Hartford, CT, Princeton, NJ, Newark, NJ, New York City, NY.

TechniPros, LLC

Boston, MA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Senior Generative AI Platform Engineer
Location: Boston, MA, Hartford, CT, Princeton, NJ, Newark, NJ, New York City, NY.
Contract: 12+ Months
Looking for W2 candidates. No C2C
Job Summary

·       We are seeking a Senior Generative AI Platform Engineer to build scalable enterprise AI platforms leveraging modern LLMs, AI orchestration frameworks, cloud-native technologies, and Model Context Protocol (MCP).

·       The ideal candidate should have strong experience building production-grade GenAI applications and AI developer platforms.

Key Responsibilities

·        Design enterprise-grade Generative AI platforms.

·        Build AI applications using OpenAI, Claude, Gemini, and Llama models.

·        Develop AI workflows using LangGraph, LangChain, and LlamaIndex.

·        Implement Model Context Protocol (MCP) integrations.

·        Build scalable RAG pipelines using vector databases.

·        Develop REST APIs and FastAPI services.

·        Deploy AI workloads on Azure AI Foundry or Amazon Bedrock.

·        Implement AI monitoring, logging, and observability.

·        Collaborate with platform engineering and DevOps teams.

·        Follow Responsible AI and AI Governance standards.

Required Skills

·        Python

·        Generative AI

·        LLMs

·        LangGraph

·        LangChain

·        LlamaIndex

·        MCP (Model Context Protocol)

·        Prompt Engineering

·        RAG

·        FastAPI

·        REST APIs

·        OpenAI

·        Anthropic Claude

·        Google Gemini

·        Azure AI Foundry

·        Amazon Bedrock

·        Docker

·        Kubernetes

·        GitHub Actions

·        CI/CD

Best Regards:

Peerbhi SK
Phone:
Email:

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