Technical Solution Architect

About US

ConvoZen AI builds conversational intelligence and automation products that help organizations deliver friction-less, human-grade customer experiences at scale. Our platform blends LLM-powered natural-language capabilities with flexible APIs and SDKs so enterprises can embed smart, context-aware conversations into any workflow or channel.

Role Overview

We're looking for aTechnical Solution Architect who is equally comfortable white-boarding architectures with CTOs and diving into source code with fellow engineers. You will be the technical face of ConvoZen AI during pre-sales discovery, onboarding, and post-launch expansionowning every integration touch-point that makes our customers successful.

Key Responsibilities

% of Time Responsibility-

• 40 %Technical Solutioning & Discovery Lead technical workshops, map client requirements to ConvoZen APIs/webhooks, and draft solution architectures & sequence diagrams.
• 30 %Integration & Implementation Build reference integrations (Node, Python, Java, REST/GraphQL), author sample code and Postman collections, and guide customers through deployment best practices (OAuth, rate limits, security, observability).
• 15 %Developer Advocacy Create how-to guides, SDK docs, quickstart repos, and demo apps; present at webinars or developer events.
• 10 %Troubleshooting & Support Escalation Help triage complex issues, reproduce edge-cases, and feed learnings back to Product/Engineering.
• 5 %Voice of Customer Collect and synthesize integration feedback, feature requests, and competitive insights for roadmap prioritization.

Minimum Qualifications

• 3+ years building or integrating RESTful/GraphQL APIs, webhooks, or real-time messaging systems.
• Proficiency in at least one modern language (JavaScript/TypeScript, Python, or Java).
• Solid grasp of OAuth 2.0/OIDC, JWT, and common SaaS auth patterns.
• Experience with cloud-native stacks (AWS/GCP/Azure), CI/CD, and containerization (Docker/K8s).
• Ability to translate ambiguous business requirements into clear technical deliverables and articulate trade-offs to both engineers and non-technical stakeholders.
• Excellent written & verbal communication skills in English; strong documentation discipline.

Nice-to-Have

• Past work with conversational AI, NLP, voice bots, or customer-support platforms (e.g., Zendesk, Genesys, Twilio, Intercom).
• Familiarity with enterprise integration patterns (ESB, iPaaS, middleware) and event-driven architectures (Kafka, Pub/Sub).
• Contributions to open-source projects or public tech blog posts/tutorials.
• Experience working in high-growth SaaS startups or customer-facing consulting roles.