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Model Context Protocol Jobs in Texas (NOW HIRING)

The ideal candidate will have practical expertise working with Large Language Models (LLMs), Model Context Protocol (MCP), Lang Graph, and AI extensions/tool integrations. Key Responsibilities Design ...

Senior Cloud Data & AI Architect

Dallas, TX · On-site

$66.50 - $89/hr

... Model Context Protocol (MCPs) to chain reasoning, retrieval, and action models. • Design Agent-to-Agent (A2A) communication protocols for collaborative multi-agent workflows. • Implement ...

Gen AI Security Architect

Plano, TX · On-site

$62.25 - $80.25/hr

... Model Context Protocol (MCP) interactions. • Develop architecture-level mitigations, segmentation strategies, and guardrail controls. • Recommend hardening controls for AI infrastructure ...

AWS MLOps

Houston, TX · On-site

$61.75 - $81.25/hr

... Model Context Protocol or similar concepts) Nice-to-Have Experience with Databricks (data platform exposure) Background in oil & gas / energy Key Traits Builder mindset (not just theoretical ...

Design and implement Model Context Protocol (MCP) servers to enable seamless integration between AI agents, enterprise systems, and external tools * Build user profiling and personalization models to ...

AI Solutions Architect I

Richardson, TX · On-site

$142K - $242K/yr

Build and maintain Model Context Protocol servers and connectors that bridge AI tools to TFS, Azure DevOps, GitHub, and other internal platforms, including the TFS to GitHub mirroring patterns that ...

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

... Develop Model Context Protocol (MCP) servers and related interfaces that connect AI assistants (including Grok) to internal and external go-to-market systems, with an emphasis on reliable, well ...

Design and implement Model Context Protocol (MCP) servers to enable seamless integration between AI agents, enterprise systems, and external tools * Build user profiling and personalization models to ...

Standardize how agents access enterprise data through Model Context Protocol (MCP) servers and equivalent integration patterns Evaluation, Observability & Production Operations * Establish agent ...

Standardize how agents access enterprise data through Model Context Protocol (MCP) servers and equivalent integration patterns Evaluation, Observability & Production Operations * Establish agent ...

Evaluate, harden, and govern the use of Model Context Protocol (MCP) servers that expose enterprise tools and data to AI agents - treating each MCP server as a security boundary requiring ...

Evaluate, harden, and govern the use of Model Context Protocol (MCP) servers that expose enterprise tools and data to AI agents - treating each MCP server as a security boundary requiring ...

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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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What cities in Texas are hiring for Model Context Protocol jobs? Cities in Texas with the most Model Context Protocol job openings:
Infographic showing various Model Context Protocol job openings in Texas as of July 2026, with employment types broken down into 79% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution.

Other

Posted 24 days ago


Job description

Job Description:
We are seeking a talented AI Engineer with hands-on experience building Generative AI applications and intelligent agent systems. The ideal candidate will have practical expertise working with Large Language Models (LLMs), Model Context Protocol (MCP), Lang Graph, and AI extensions/tool integrations.

Key Responsibilities
Design, develop, and deploy AI-powered applications utilizing Large Language Models (LLMs).
Build and integrate AI agents using Lang Graph and agent orchestration frameworks.
Develop and maintain MCP (Model Context Protocol) servers and tool integrations.
Implement Retrieval-Augmented Generation (RAG) pipelines leveraging vector databases and embedding models.
Create AI extensions, custom tools, and function-calling capabilities for intelligent workflows.
Integrate external APIs, enterprise systems, and third-party services into AI applications.
Optimize prompts, evaluate model performance, and improve response quality.
Collaborate with engineering and product teams to deliver scalable AI solutions.
Deploy AI applications using cloud technologies and containerization platforms.

Required Qualifications
1+ years of experience in AI Engineering, Generative AI, or LLM-based application development.
Hands-on experience with LLMs such as GPT, Claude, Gemini, Llama, or similar models.
Experience with MCP (Model Context Protocol).
Strong understanding of Lang Graph and agentic workflows.
Experience building AI extensions, tool integrations, or function-calling applications.
Proficiency in Python and frameworks such as Fast-API.
Knowledge of RAG architectures, embeddings, and vector databases.
Experience with API development and system integrations.
Familiarity with Docker, Kubernetes, and cloud platforms (AWS, Azure, or Google Cloud Platform).