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Model Context Protocol Jobs in Danvers, MA (NOW HIRING)

... Model Context Protocol (MCP) governance, semantic caching, prompt guardrails, and shadow AI detection. • Run API & AI-focused Technical Feasibility Workshops (TFWs) to validate Kong's fit for ...

Deliver demonstrations of Kong's API & AI governance and agentic connectivity capabilities, including Model Context Protocol (MCP) governance, semantic caching, prompt guardrails, and shadow AI ...

We are building a next-generation Agentic AI Framework that integrates Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, Machine Learning, and advanced orchestration on top of our ...

New

Senior AI Security Engineer

Boston, MA · On-site +1

$124K - $170K/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 ...

We are building a next-generation Agentic AI Framework that integrates Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, Machine Learning, and advanced orchestration on top of our ...

New

Data Architect (Remote)

Boston, MA · On-site +1

$69.25 - $89/hr

Participate collaboratively in the design and implementation of Model Context Protocol integrations, enabling AI tooling to access Axiom's information assets. * Administer and govern the Databricks ...

Experience with Model Context Protocol (MCP) servers, agentic harness frameworks, or tool-use orchestration * Experience designing evaluation frameworks or quality gates for AI system output * Proven ...

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Model Context Protocol information

See Danvers, MA salary details

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How much do model context protocol jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for model context protocol in Danvers, MA is $33.17, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $41.44 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 Danvers, MA? For Model Context Protocol jobs in Danvers, MA, the most frequently searched job titles are:
What job categories do people searching Model Context Protocol jobs in Danvers, MA look for? The top searched job categories for Model Context Protocol jobs in Danvers, MA are:
What cities near Danvers, MA are hiring for Model Context Protocol jobs? Cities near Danvers, MA with the most Model Context Protocol job openings:
Infographic showing various Model Context Protocol job openings in Danvers, MA as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $68,992 per year, or $33.2 per hour.

Staff Solutions Engineer - Northeast

Kong

Boston, MA • On-site

Full-time

Re-posted 9 hours ago


Job description

Job Summary:
Kong Inc. is a leading developer of API and AI connectivity technologies, building the infrastructure that powers the agentic era. As a Staff Solutions Engineer, you will act as a trusted technical advisor, helping enterprises architect secure, scalable API ecosystems while navigating the transition into the agentic AI era.
Responsibilities:
• Support field sales in helping customers understand the value of the Kong API and AI connectivity platform.
• Conduct discovery conversations to understand customer requirements and map them to Kong solutions, from initial product reviews through to production.
• Support POCs throughout the entire evaluation process, owning technical validation and stakeholder alignment.
• Ensure customer satisfaction across your assigned set of accounts.
• Collaborate with support, product, and engineering teams to advocate for customer needs.
• Create technical documentation for DevOps, implementations, and services engagements.
• Lead and support API Management and AI Goverance evaluations, including scoping API/AI use cases, LLM traffic management, and governance requirements.
• Deliver demonstrations of Kong’s API & AI governance and agentic connectivity capabilities, including Model Context Protocol (MCP) governance, semantic caching, prompt guardrails, and shadow AI detection.
• Run API & AI-focused Technical Feasibility Workshops (TFWs) to validate Kong’s fit for modern and/or AI/agentic architectures.
• Own the technical strategy for complex, multi-stakeholder enterprise deals from qualification through close.
• Mentor and coach junior SEs on technical skills, discovery methods, and deal strategy.
• Drive thought leadership by authoring technical blogs, hosting webinars, speaking at industry events and conferences such as AWS re:Invent, Google Next, API & AI summit, and regional events.
• Influence product direction by synthesizing customer feedback and market signals into actionable input for the product team.
• And any additional tasks required by manager.
Qualifications:
Required:
• 7+ years of software engineering and/or solutions engineering experience at a SaaS, open source, or enterprise software company.
• Proven track record owning complex, enterprise-level deals with multiple technical and executive stakeholders.
• Experience mentoring or coaching other SEs or technical team members.
• Experience with Docker, Kubernetes, and cloud-native platforms.
• Experience with REST and GraphQL APIs, CI/CD pipelines, and API security patterns (OAuth2, OIDC, mTLS).
• Hands-on experience with AI-assisted development tooling — Claude Code, GitHub Copilot, OpenAI Codex, or equivalent is required.
• Working knowledge of AI/LLM architectures, including model routing, rate limiting, semantic caching, and prompt governance.
• Familiarity with Model Context Protocol (MCP) and agentic AI patterns.
• Solid understanding of cloud computing trends and open source business models.
• Strong listener and communicator — you can confidently lead discussions with engineers, architects, and executives.
• Enthusiasm for working in a high-profile, fast-paced environment at the intersection of API and AI connectivity.
Company:
Kong Inc. is the AI connectivity company building the layer AI needs to reach its full potential with AI governance from day one. Founded in 2017, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.