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Model Context Protocol Jobs in Highland, IN (NOW HIRING)

Whiztek Corp

Google Cloud Platform Cloud Engineer

Chicago, IL · On-site

$57.50 - $76.75/hr

Integrate and configure Model Context Protocol (MCP) servers both Google-provided (e.g., Workspace MCP) and custom/third-party as external agent tools * Stand up and manage multi-agent orchestration ...

Fitch Solutions

AI Engineer

Chicago, IL · On-site

$57 - $73.50/hr

Leverage cutting-edge AI innovation - Experiment with cutting-edge LLMs and foundation models, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol ...

Fitch Group

Senior Gen AI Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

Leverage cutting-edge AI innovation - Experiment with cutting-edge LLMs and foundation models, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol ...

Fitch Solutions

Senior Gen AI Software Engineer

Chicago, IL · On-site

$126K - $166K/yr

Leverage cutting-edge AI innovation - Experiment with cutting-edge LLMs and foundation models, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol ...

Fitch Group

AI Engineer

Chicago, IL · On-site

$57 - $73.50/hr

Leverage cutting-edge AI innovation - Experiment with cutting-edge LLMs and foundation models, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol ...

Rothera

AI Specialist

Chicago, IL

$125K - $150K/yr

Evaluate, standardise, and deploy protocol architectures like Model Context Protocol (MCP) to securely connect frontier models with internal databases, tools, and enterprise applications.

Rothera

AI Specialist

Chicago, IL · On-site

$125K - $150K/yr

Evaluate, standardise, and deploy protocol architectures like Model Context Protocol (MCP) to securely connect frontier models with internal databases, tools, and enterprise applications.

Capgemini

Senior Software Engineer

Chicago, IL · On-site

$73K - $174K/yr

Work with MCP (Model Context Protocol) frameworks and related integrations for AI application deployment and orchestration. Required Qualification * 2 to 4 years of experience in Software Engineering ...

Accenture

Mulesoft Developer

Chicago, IL · On-site

$51.75 - $68.75/hr

Experience with Model Context Protocol (MCP), agentic integration patterns, and GenAI-assisted API development, testing, documentation, or code generation. * Experience with enterprise application ...

Tekfortune Inc.

AI Solution Architect

Chicago, IL · On-site

$65 - $85.50/hr

Emerging interoperability standards like Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols . Data & Vector Technologies * Vector databases (e.g., Milvus, Amazon Aurora PostgreSQL) for ...

YO AI Labs

Backend Engineer - Remote

Chicago, IL · 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

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How much do model context protocol jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for model context protocol in Highland, IN is $28.95, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $36.15 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 Highland, IN look for?

The top searched job categories for Model Context Protocol jobs in Highland, IN are:

What cities near Highland, IN are hiring for Model Context Protocol jobs?

Cities near Highland, IN with the most Model Context Protocol job openings:

Model Context Protocol jobs near you

Google Cloud Platform Cloud Engineer / Devops Engineer

Chicago, IL • On-site

Whiztek Corp
Software Development • 11 - 50 employees
Learn more about Whiztek Corpexternal

$57.50 - $76.75/hr

Other

Posted 7 days ago

Job description

Devops Engineer with Google Cloud Platform
Chicago, IL (Hybrid)

We are looking for experienced Google Cloud engineers with hands-on expertise in Gemini Enterprise Agent Platform (GEAP), Google''s managed platform for building, deploying, governing, and scaling enterprise-grade AI agents. This is a hands-on, build-and-deploy role: you will design agent architectures, stand up production hosting infrastructure, integrate Model Context Protocol (MCP) servers and tools, and ensure our agents are secure, observable, and cost-efficient at scale.

What You''ll Do

  • Design, build, and deploy AI agents on GEAP using Google''s Agent Development Kit (ADK) or equivalent frameworks, including both pro-code and low-code (Agent Studio) approaches
  • Deploy agents to GEAP''s fully-managed Agent Runtime, configuring short-term Sessions and long-term Memory Bank integration
  • Integrate and configure Model Context Protocol (MCP) servers — both Google-provided (e.g., Workspace MCP) and custom/third-party — as external agent tools
  • Stand up and manage multi-agent orchestration patterns (e.g., orchestrator/sub-agent graphs, Agent Fabric-style fleets) where specialized agents handle discrete tasks and coordinate via defined protocols
  • Configure Agent Gateway policies, authorization, and Agent Identity for secure, auditable, and traceable agent actions
  • Define and provision the Google Cloud Platform infrastructure needed to host agents: networking (VPC, Private Service Connect, hybrid/on-prem connectivity), IAM, compute (GKE, Agent Platform Endpoints), and OAuth/credential flows for production agent authentication
  • Set up Agent Evaluation, Agent Observability, and Agent Optimizer to monitor drift, trace performance issues, and control compute/token costs in production
  • Advise stakeholders on exactly what''s required — licensing, APIs, IAM roles, network topology, compute sizing — to host AI agents on GEAP, and translate that into clear deployment runbooks
  • Troubleshoot production issues across the agent stack, from model/tool calls to networking and platform-level governance controls

Required Experience

  • Demonstrated hands-on experience with GEAP (or its predecessor, Vertex AI Agent Builder/Vertex AI Pipelines) — not just familiarity from documentation
  • Strong Google Cloud Platform fundamentals: IAM, VPC networking, GKE, Cloud Run or similar compute, Private Service Connect
  • Experience building or integrating MCP (Model Context Protocol) servers and tools
  • Experience with Google''s Agent Development Kit (ADK) or comparable agent frameworks
  • Familiarity with agent orchestration concepts (multi-agent systems, task graphs, tool calling, sessions/memory)
  • Solid understanding of OAuth 2.0 flows and secure credential handling for production, server-side applications
  • Comfortable working with gcloud CLI, Google Cloud Console, and infrastructure-as-code tooling

Nice to Have

  • Experience with Google Workspace MCP servers and the Workspace Developer Preview Program
  • Background in ML/platform engineering or cloud architecture roles
  • Experience with third-party agent interoperability (e.g., Open Agent Network, Salesforce/ServiceNow agent integrations)
  • Google Cloud certifications (Professional Cloud Architect, Professional ML Engineer, etc.)
  • Experience with cost governance/optimization for high-volume agent workloads

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