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Model Context Protocol Jobs in Reston, VA (NOW HIRING)

Agentic Engineer

Tysons Corner, VA · On-site

$90K - $175K/yr

Implement and leverage the Model Context Protocol (MCP) to seamlessly connect our AI models with external tools, APIs, and data sources. * Move beyond prototypes by building rigorous evaluation ...

Agentic Engineer

Tysons, VA · On-site

$90K - $175K/yr

Implement and leverage the Model Context Protocol (MCP) to seamlessly connect our AI models with external tools, APIs, and data sources. * Move beyond prototypes by building rigorous evaluation ...

Senior Platform Engineer

Washington, DC · On-site

$117K - $161K/yr

Help structure NOS data and design the Model Context Protocol interfaces that let AI agents read and act on platform data safely. • Partner across the squad. Work with data scientists, AI/ML ...

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Model Context Protocol information

See Reston, VA salary details

$10

$32

$69

How much do model context protocol jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for model context protocol in Reston, VA is $32.63, according to ZipRecruiter salary data. Most workers in this role earn between $19.76 and $40.77 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 are popular job titles related to Model Context Protocol jobs in Reston, VA?

For Model Context Protocol jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Model Context Protocol jobs in Reston, VA look for?

The top searched job categories for Model Context Protocol jobs in Reston, VA are:

What cities near Reston, VA are hiring for Model Context Protocol jobs?

Cities near Reston, VA with the most Model Context Protocol job openings:

Infographic showing various Model Context Protocol job openings in Reston, VA as of August 2026, with employment types broken down into 2% As Needed, 81% Full Time, 15% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $67,879 per year, or $32.6 per hour.

Generative AI Engineer/Architect-REmote

HRC Global Services

Reston, VA • Remote

Full-time

Re-posted 27 days ago


Job description

We're looking for a Generative Al Engineer to architect and build next-generation Al products powered by large language models (LLMs), agent frameworks, and agentic pipelines. The role emphasizes building reliable, context-aware systems using Model Context Protocol (MCP) to manage and standardize model context, inputs, and tool interactions across agentic workflows.

Key responsibilities

* Design, prototype, and productionize LLM-based features and conversational agents using modern LLM APIs and frameworks.

* Implement and enforce MCP (Model,Context Protocol) patterns to structure prompts, context windows, tool calls, and metadata for consistent multi-turn and cross-tool behavior.

* Build and orchestrate agentic systems (planners, executors, tool chains) that integrate LLMs with external APis, knowledge bases, and tooling.

* Develop retrieval-augmented generation (RAG) pipelines, embeddings, and document indexing; manage vector DB integrations.

* Create evaluation pipelines and prompt engineering experiments; measure hallucination rates, factuality, latency, and

cost.

* Design and implement safety, guardrails, and monitoring: content filtering, adversarial testing, rate limits, and alerting for model failure modes.

* Optimize inference cost and latency across providers and on-prem hosts (quantized models, batching, caching).

* Build CI/CD and reproducible workflows for model versions, prompt artifacts, and MCP schema migrations; document

MCP conventions and laternal best practices.

Required qualifications

* 3+ years ML engineering or applied Al experience, with 1-2+ years working directly with LLMs and generative systems.

* Hands-on experience with LLM APls and agent frameworks (eg, LangChain, Llamaindex, Haystack, or equivalent).

* Practical experience implementing or following a Model Context Protocol (MCP) - structuring context, metadata, prompt templates, tool interfaces, and context stitching across sessions.

* Strona Pvthon engineerina skills: experience buildina production-arade microservices and APIs.