Solution Architect(Customer Facing)

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 a Solution Architect (Customer Facing) 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 expansion—owning 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.