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Model Context Protocol Jobs (NOW HIRING)

AI security & infrastructure (Model Context Protocol) Compensation: ~$180K base plus performance bonus About the Company Our partner is an early-stage, fast-scaling startup building security ...

Agentic AI Developer

San Jose, CA · On-site

$61.50 - $79.50/hr

Familiarity with Agent Development Kit (ADK), Model Context Protocol (MCP), and agent design in Vertex AI. Cloud Infrastructure: Strong understanding of cloud-native development on Google Cloud ...

Agentic AI Developer

San Jose, CA · On-site

$55 - $60/hr

Familiarity with Agent Development Kit (ADK), Model Context Protocol (MCP), and agent design in Vertex AI. * Strong understanding of cloud-native development on GCP. * Demonstrated ability to lead ...

Senior Gen AI Developer

San Jose, CA · On-site

$142K - $191K/yr

Role - Sr Gen AI Lead Consultant Location - San Jose , CA Onsite only GenAI Engineers build the core intelligence layer--agents, workflows, prompts, and decision logic--that power enterprise AI ...

AI Enterprise Architect

Seattle, WA · On-site

$78.50 - $101.25/hr

... Model Context Protocol (MCP), Agent to Agent Protocols, Google AI Development Kit (ADK), Azure AI Studio or AWS Bedrock. • Integrate large language models (LLMs) such as Llama, Gemini, GPT, and ...

Senior Cloud Database Engineer

Dearborn, MI

$97K - $132K/yr

Define patterns for integrating Model Context Protocol (MCP) with databases for contextual AI interactions. * Intelligent Automation: Identify and implement AI-driven automation across the lifecycle ...

Develop RAG (Retrieval-Augmented Generation) pipelines and implement MCPs (Model Context Protocol / modular AI pipelines) * Ensure performance, scalability, security, and high availability of ...

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Model Context Protocol information

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How much do model context protocol jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for model context protocol in the United States is $31.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $39.18 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.

More about Model Context Protocol jobs
What cities are hiring for Model Context Protocol jobs? Cities with the most Model Context Protocol job openings:
What states have the most Model Context Protocol jobs? States with the most job openings for Model Context Protocol jobs include:
Infographic showing various Model Context Protocol job openings in the United States as of July 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $65,246 per year, or $31.4 per hour.

Founding Support Engineer

talentpluto

New York, NY • On-site

$180K/yr

Full-time

Posted 8 days ago


Job description

Location: New York, NY (remote-friendly; SF or NYC preferred)
Work Model: Hybrid / flexible
Industry: AI security & infrastructure (Model Context Protocol)
Compensation: ~$180K base plus performance bonus
About the Company
Our partner is an early-stage, fast-scaling startup building security infrastructure for the Model Context Protocol, protecting enterprises from data leaks as they adopt AI agents. Founded less than a year ago, they already have a multi-million-dollar pipeline, a deeply technical product, and backing from top-tier investors. The bar is high, the pace is fast, and the problems are genuinely hard.
The Opportunity
As a founding Support / Forward-Deployed Engineer, you'll sit at the intersection of engineering and customers, deploying the product, solving hard technical problems in the field, and making enterprise customers successful. This is a solutions-engineering-heavy role for someone who is both technically excellent and genuinely comfortable in front of people. You'll join an established, professional environment rather than a first-engineer situation, with room to grow toward founder-level ownership.
Responsibilities
  • Deploy and integrate the product into complex enterprise environments
  • Work directly with customers post-sale to ensure technical success
  • Solve hard technical problems across AI agents, MCP integrations, and security tooling
  • Serve as the technical bridge between customers and the engineering team
  • Help shape the forward-deployed / solutions engineering function as an early hire
Requirements
  • 5-6 years in a technical, customer-facing role (solutions engineering, forward-deployed engineering, or similar); exceptional candidates with a couple of years of experience considered
  • Strong computer science or statistics foundation and academic pedigree
  • Startup or consulting background with real time in front of customers
  • Demonstrated software / technical skills and the ability to operate in a professional, fast-moving environment
  • Consistent tenure without a pattern of short stints