Specialist Solutions Engineer – AI Focus
Kong Inc.
full-time
Posted on:
Location Type: Remote
Location: New York • United States
Visit company websiteExplore more
Tech Stack
About the role
- Engage with executive leadership, as well as senior AI stakeholders in Kong’s prospects’ and customers’ organizations to help craft their AI journey with Kong technologies.
- Stay at the bleeding edge of AI developments and work with Solution Engineers, and the product management organization to surface market feedback and influence product direction.
- Assist with technical discovery sessions, architecture reviews, and executive-level presentations with clients, translating business requirements into concrete platform solutions.
- Apply expertise in AI/ML technology and tooling — including agentic AI, AI orchestration frameworks, and agent-building — to guide customers on integrating AI capabilities into their API infrastructure.
- Support proof-of-concept exercises and custom technical demonstrations that showcase Kong's capabilities.
- Mentor junior Solutions Engineers and actively contribute to the team's shared technical knowledge base.
- Manage multiple concurrent engagements with strong project discipline, delivering results against defined timelines and commitments.
- Communicate complex technical concepts with clarity and precision to both engineering audiences and executive stakeholders.
- Build and maintain demonstration tooling and environments.
- Produce compelling collateral on AI topics including demos, webinars, documents, and white papers.
Requirements
- 10+ years of experience in solutions engineering, technical architecture, or a comparable customer-facing technical role.
- Demonstrated expertise in API design and API management principles, patterns, and best practices.
- Hands-on experience with AIOps platforms or tooling.
- Strong command of authentication and authorization standards, including OAuth 2.0, OIDC, and JWT, alongside applied knowledge of cybersecurity best practices.
- Proficiency with Linux operating systems and containerization technologies (Docker, Kubernetes).
- Fluency with Git-based workflows and collaborative software development practices.
- Proven application of SRE principles and observability tooling (logging, metrics, tracing) in production environments.
- Experience with infrastructure automation and scripting for deployment and configuration management.
- Exceptional communication and presentation skills; able to adapt technical depth to the audience.
- Bachelor's degree in Computer Science, Engineering, or a related field — or equivalent demonstrated experience.
Benefits
- Employee benefits such as health insurance
- Professional development opportunities
- Flexible work arrangements
- Mentorship opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI/ML technologyAPI designAPI managementAIOps platformsauthentication standardsauthorization standardsOAuth 2.0OIDCJWTLinux
Soft Skills
communication skillspresentation skillsmentoringproject managementtechnical discoveryclarity in communicationcollaborationadaptability
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Engineering