Staff Solutions Engineer - AI Specialist

Kong Inc.; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Kong Inc. seeks a Staff Solutions Engineer to be the trusted technical advisor at the center of API and AI connectivity. You will help enterprises architect secure, scalable API ecosystems and guide multi-stakeholder deals from discovery to close.

You’ll leverage Docker, Kubernetes, REST/GraphQL APIs, and cloud-native platforms to validate solutions, run feasibility workshops, and craft governance strategies including MCP and guardrails for AI deployments.

Qualifications

• 7+ years in software or solutions engineering in SaaS/open source/enterprise software.
• Proven track record selling to multi-stakeholder enterprise buyers.
• Hands-on with Docker/Kubernetes and cloud-native platforms.
• Experience with REST/GraphQL APIs, CI/CD, and API security patterns.

Responsibilities

• Support field sales by mapping customer requirements to Kong solutions.
• Lead technical validation, POCs, and stakeholder alignment across accounts.
• Deliver API/AI governance demonstrations and architecture reviews.
• Create technical docs for DevOps, implementations, and services engagements.
• Mentor junior SEs and contribute to thought leadership via blogs and talks.

Skills

Docker

Kubernetes

REST APIs

GraphQL APIs

CI/CD pipelines

OAuth2

OIDC

mTLS

AI tooling

Claude Code

GitHub Copilot

OpenAI Codex

LLM architectures

Model Context Protocol

Job description

Are you ready to unlock intelligence?

About the Role:

Are you ready to sit at the epicenter of the API and AI connectivity revolution? As a Staff Solutions Engineer at the company, you won’t just be selling a platform - you’ll be a trusted technical advisor helping the world’s most innovative enterprises architect secure, scalable API ecosystems while navigating the transition into the agentic AI era. the company sits at the intersection of API management and AI connectivity, and you’ll be the person who makes that story real for customers.

What you’ll be doing:

Support field sales in helping customers understand the value of the the company API and AI connectivity platform. Conduct discovery conversations to understand customer requirements and map them to the company 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 the company’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 the company’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.

What you’ll bring:

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.

About the company:

the company, the AI Connectivity Company, is building the connectivity layer of AI. Trusted by the Fortune 500® and AI-native startups alike, the company’s unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic - on any model, any cloud. For more information, visit www.konghq.com.