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

Halvik

Sr. Security Engineer

Alexandria, VA · On-site

$155K - $165K/yr

... and Model Context Protocol configuration files). The Senior Security Engineer will serve as a technical lead on the program, working closely with customer stakeholders, the COR/CO, and Halvik ...

EchoStar

Senior AI Engineer

Herndon, VA · On-site

$110K - $137K/yr

Build and deploy autonomous AI agents and securely grounded RAG pipelines using Amazon Bedrock, OpenSearch, and Model Context Protocol (MCP) to execute complex business tasks * Implement Guardrails ...

New

Interon IT Solutions

ServiceNow AI Developer

Chantilly, VA · Remote

$55.25 - $76/hr

Integrate Model Context Protocol (MCP) to enable secure contextual AI interactions. * Implement multi-model and multi-agent orchestration frameworks. * Configure and optimize Now Assist, Predictive ...

Tetra Tech

Sr. Security Engineer

Alexandria, VA · On-site

$140 - $190/hr

... and Model Context Protocol configuration files). The Senior Security Engineer will serve as a technical lead on the program, working closely with customer stakeholders, the COR/CO, and Halvik ...

Wsgr

Senior AI Security Engineer

Washington, DC · On-site +1

$129K - $177K/yr

Lead security architecture reviews for MCP (Model Context Protocol) integrations - evaluating tool definitions, server trust boundaries, prompt injection attack surfaces, and tool call authorization ...

EchoStar

Senior AI Engineer

Herndon, VA · On-site

$110K - $137K/yr

Build and deploy autonomous AI agents and securely grounded RAG pipelines using Amazon Bedrock, OpenSearch, and Model Context Protocol (MCP) to execute complex business tasks * Implement Guardrails ...

New

Halvik

Sr. Security Engineer

Alexandria, VA · Hybrid

$122K - $167K/yr

... and Model Context Protocol configuration files). The Senior Security Engineer will serve as a technical lead on the program, working closely with customer stakeholders, the COR/CO, and Halvik ...

Accenture Federal Services

AI Architect

Chantilly, VA · On-site

... with Model Context Protocol • Bachelors degree Company : Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is ...

Halvik

Sr. Security Engineer

Alexandria, VA · On-site

$155K - $165K/yr

... and Model Context Protocol configuration files). The Senior Security Engineer will serve as a technical lead on the program, working closely with customer stakeholders, the COR/CO, and Halvik ...

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Showing results 21-40

All JobsModel Context Protocol JobsModel Context Protocol Jobs in Reston, VA

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.

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Model Context Protocol jobs near you
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.

Sr. Security Engineer

Halvik

Alexandria, VA • On-site

$155K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Job description

Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special!
Position Overview
Halvik is seeking a Senior Security Engineer to support a customer's enterprise initiative that enables secure, compliant adoption of Artificial Intelligence (AI) across their agency's hybrid environment. This role leads the design, implementation, and operationalization of enterprise-scale data discovery and classification, AI governance and protection controls, and detection capabilities for emerging AI-native development artifacts (e.g., Markdown-based prompt files, cursor rules, GitHub Copilot instructions, and Model Context Protocol configuration files). The Senior Security Engineer will serve as a technical lead on the program, working closely with customer stakeholders, the COR/CO, and Halvik delivery leadership to protect sensitive agency and stakeholder information while enabling the agency's AI adoption goals.
This is a Hybrid position requiring work at the customer location in Alexandria, VA.
Core Responsibilities
  • Strategic Execution: Lead the architecture and phased rollout of enterprise data discovery, classification, and AI governance capabilities, prioritizing high-risk repositories and expanding coverage across cloud, on-premises, SaaS, and developer environments.
  • AI Governance & Enforcement: Design and tune policy-based controls (allow, block, alert, redact, route) that monitor AI prompts, responses, and related artifacts in real time or near-real-time to prevent unauthorized disclosure of sensitive information.
  • Emerging AI Artifact Security: Own detection, classification, and protection of AI-native development artifacts, including Markdown prompt files, cursor rules, Copilot instructions, and MCP configuration files, across repositories, shared drives, and developer workspaces.
  • Operational Oversight: Maintain auditable enforcement records, oversee remediation workflows for policy exceptions and exposure events, and ensure timely, traceable resolution of compliance findings.
  • Collaboration: Partner with customer stakeholders, the COR/CO, and cross-functional Halvik teams to align implementation with the agency's cloud migration timeline, security approvals, and AI expansion roadmap.
  • Technical Performance: Architect integrations with enterprise DLP/CASB platforms, SIEM, and identity/access workflows; support early, automated detection of vulnerabilities in code, containers, and infrastructure-as-code templates, including flaws introduced by AI components or data pipelines feeding AI models.
  • Mentorship & Quality: Provide technical guidance and review for mid-level engineers and contribute to deliverables including the Enterprise Architecture and Deployment Plan, Discovery and Classification Configuration, and AI Governance and Enforcement Configuration.
  • Continued Proficiency: Stays current with emerging AI technologies and cybersecurity trends to ensure best-in-class practices.

Minimum Requirements
  • Education: Bachelor's degree in Computer Science, Information Security, or a related field (Master's Degree and 8 years of experience; equivalent experience may be considered in lieu of degree, 14+ years).
  • Experience: Minimum of 10 years of professional cybersecurity engineering experience, including at least 3 years focused on data loss prevention (DLP), data classification, or cloud/enterprise security architecture, ideally within a Federal environment.
  • Technical Proficiency: Advanced knowledge of data discovery/classification and DLP platforms (e.g., Microsoft Purview, Symantec DLP, Varonis), cloud security in AWS/Azure/GovCloud, CASB, and SIEM tooling.
  • Compliance: Working knowledge of NIST SP 800-53, FISMA, and the Risk Management Framework (RMF).
  • Certifications: Current CISSP certification is required.
  • Must be able to obtain and maintain a Public Trust security clearance.

Preferred Expertise
  • Demonstrated success supporting Federal contracts.
  • Hands-on experience securing generative AI and LLM-enabled workflows, including prompt engineering artifacts and Model Context Protocol implementations.
  • Familiarity with Agile/Scrum delivery methodologies and enterprise IT service management practices.
  • Scripting and automation experience (e.g., Python, PowerShell) to support policy tuning and reporting.
  • Strong analytical, written, and verbal communication skills, with the ability to translate technical risk into terms suitable for executive and government stakeholders.
  • Ability to work collaboratively with others and contribute to a team environment.

Halvik offers a competitive full benefits package including:
Company-supported medical, dental, vision, life, STD, and LTD insurance
Benefits include 11 federal holidays and PTO
Eligible employees may receive performance-based incentives in recognition of individual and/or team achievements.
401(k) with company matching
Flexible Spending Accounts for commuter, medical, and dependent care expenses
Tuition Assistance
Charitable Contribution matching
Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
Halvik'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) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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