ZipRecruiter

Log In

1

Model Context Protocol Jobs (NOW HIRING)

Enexus Global

Playwright AI Automation

Dublin, CA · Hybrid

In this role, you will design, build, and scale AI Copilots and Agentic Workflows by integrating Large Language Models (LLMs) with browser automation using Model Context Protocol (MCP) and Playwright.

Anblicks

Senior AI Engineer

Dallas, TX

$103K - $142K/yr

Apply advanced prompt engineering and integrate Model Context Protocol (MCP) to connect AI agents with enterprise systems * Own the full AI project lifecycle from data ingestion and preprocessing ...

next page

Showing results 1-20

All JobsModel Context Protocol Jobs

Model Context Protocol information

See salary details

$10

$31

$67

How much do model context protocol jobs pay per hour?

As of Jun 22, 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.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer, AI research director, or data science executive, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These roles usually involve leadership, strategic planning, and cutting-edge development in AI technologies, and they tend to be found in large tech companies or innovative startups.

Is ML a high paying job?

Machine Learning (ML) roles are generally well-paid due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and industry, but many ML positions offer competitive compensation compared to other tech roles.

What can you do with Model Context Protocol?

A Model Context Protocol role involves managing and implementing protocols that enable models to understand and utilize contextual information effectively. This may include designing data workflows, ensuring protocol compliance, and working with AI or machine learning tools to improve model performance in specific environments.

What jobs make 10000 a month without a degree?

Roles such as freelance model, influencer, or content creator can earn $10,000 or more monthly without a formal degree, often through social media platforms, brand partnerships, or personal branding. Success in these fields typically depends on skills, audience size, and marketing ability rather than formal education.
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:
What job categories do people searching Model Context Protocol jobs look for? The top searched job categories for Model Context Protocol jobs are:
Model Context Protocol jobs near you
Infographic showing various Model Context Protocol job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $65,246 per year, or $31.4 per hour.

Lead AI and Data Solution Engineer

U.S. Financial Technology

On-site, Remote

$200K - $215K/yr

Full-time

Medical, Retirement, PTO

Posted 15 days ago

Job description

OVERVIEW

The Company

U.S. Financial Technology (U.S. FinTech) is seeking an experienced Lead AI and Data Solution Engineer to drive the development, integration, and deployment of advanced AI, data engineering, and cloud-based solutions. This is a full-time remote opportunity. 

U.S. FinTech built and operates the largest and most advanced mortgage securitization platform in the world, supporting the Uniform Mortgage-Backed Security (UMBS) of Fannie Mae and Freddie Mac.

Supporting 70% of the mortgage-backed securities in the market, U.S. FinTech provides best-in-class single-family issuance, bond administration, disclosure, and tax services. We support a broad portfolio of products for our clients with full lifecycle management.

Our market-leading, cloud-based, end-to-end platform executes transactions on an extraordinary scale which has bolstered liquidity in the secondary mortgage market, one of the largest and most important financial markets in the world. Our unique approach to securitization combines the best minds in financial services with the know-how, flexibility, and innovation of leading technologists.

RESPONSIBILITIES

Job Information

The ideal candidate will have deep expertise in data engineering, agentic AI systems, large language models (LLMs), and Model Context Protocol (MCP). The preferred candidate will bring deep experience with AWS and Snowflake services, including a strong understanding of security best practices for cloud-based AI and data solutions. This role requires a hands-on leader who can design scalable, secure, and innovative data pipelines and AI solutions that deliver business value. 

Key Job Functions

  • Solution Engineering: Lead the design, development, and deployment of enterprise-scale data and AI solutions, ensuring alignment with business objectives and technical best practices. 
  • LLM and Agentic AI: Architect, implement, and optimize large language models and agentic AI workflows for business automation and decision support. 
  • Framework Expertise: Design and deploy AI solutions using leading frameworks such as LangChain, LangGraph, and n8n for scalable agent orchestration, workflow automation, and integration with business systems 
  • Model Context Protocol (MCP): Develop, integrate, and manage MCP-based solutions to enhance model interpretability, context management, and deployment at scale. 
  • Cloud and Data Engineering: Leverage AWS and Snowflake to build scalable, secure, and efficient data pipelines for structured and unstructured data. 
  • Collaboration: Partner with cross-functional teams, including other technology, business, risk, legal, and compliance stakeholders, to deliver integrated solutions. 
  • Innovation: Stay current with emerging technologies and industry trends in AI, data engineering, and cloud computing, driving continuous improvement and innovation. 
  • Governance and Compliance: Ensure all solutions meet regulatory, security, and compliance requirements relevant to the financial services industry. 
  • Mentorship: Provide technical leadership and mentorship to junior team members. 
QUALIFICATIONS

Education   

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. 

Minimum Experience  

  • 8+ years of experience in data engineering, AI solution development, or related roles. 
  • Proven expertise in large language models (LLMs), agentic AI systems, and Model Context Protocol (MCP). 
  • Good working experience developing and integrating AI solutions using AWS Bedrock, including prompt engineering, RAG, and enterprise application integration. 
  • Strong experience with Snowflake and AWS services (Glue, S3, Lambda, SageMaker, etc.). 
  • Experience in the financial services or mortgage industry is preferred. 
  • Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. U.S. FinTech does not offer sponsorship for this position.

Specialized Knowledge & Skills     

  • Deep understanding of AI/ML frameworks, data pipelines, and cloud-native architectures. 
  • Hands-on experience with LLM deployment, fine-tuning, and integration. 
  • Proficiency in agentic AI design patterns and implementation. 
  • Expertise in Model Context Protocol (MCP) for context-aware model deployment and management. 
  • Strong knowledge of Snowflake, AWS, and advanced data modeling. 
  • Experience with data governance, security, and compliance best practices. 
  • Excellent communication, collaboration, and presentation skills. 
  • Ability to translate complex technical concepts for non-technical stakeholders. 

Pay Range $200,000 to $215,000

U.S. FinTech's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) a candidate's qualifications, skills, competencies, and experience, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. U.S. FinTech offers a competitive total compensation package, which includes a performance bonus, 401k match, healthcare coverage, PTO, and a broad range of other benefits.

Employment

As a condition of employment with U.S. Financial Technology, any successful job applicant will be required to  successfully complete a background investigation, which may also include a credit check for positions in some areas of our business.   

U.S. Financial Technology is an Equal Opportunity Employer.

##LI-Remote

Employment Type: FULL_TIME

Apply