What are the responsibilities and job description for the Solutions Architect position at Maven AGI?
Role Summary
As a Solutions Architect, you are the technical design authority across pre‑ and post‑sales. You own the technical win, produce production‑ready reference architectures, lead deep dives and security reviews, and guide Forward Deployed Engineers through the build path from POC to launch. This is a customer facing forward‑deployed technical role: you prototype fast, validate with data, and make complex systems legible to executives and technical non-technical buyers.
What You’ll Do
Join us in changing the face of enterprise customer support.
As a Solutions Architect, you are the technical design authority across pre‑ and post‑sales. You own the technical win, produce production‑ready reference architectures, lead deep dives and security reviews, and guide Forward Deployed Engineers through the build path from POC to launch. This is a customer facing forward‑deployed technical role: you prototype fast, validate with data, and make complex systems legible to executives and technical non-technical buyers.
What You’ll Do
- Own architecture & validation for complex opportunities: grounding strategies (search/RAG/connectors), action frameworks, data contracts, identity, observability, and SLAs.
- Design production‑like POCs: Guide POC definition for the most complex customers including defining success criteria, eval methodology, test plans, and quality metrics—run the daily tuning loop with PgM/SE partners.
- Hands‑on prototyping: Build reference integrations using the Maven platform, unblock edge cases.
- Author reusable artifacts: Reference architectures, solution briefs, and demo baselines that raise team throughput.
- Lead Exec‑level technical deep drives: lead architecture and roadmap sessions; crisply explain tradeoffs to technical and non‑technical audiences.
- 7 years in Solutions Architecture/Applied Engineering for enterprise SaaS or ML/LLM products.
- Strong system design: microservices/eventing, REST/GraphQL, data modeling,
- LLM/AI familiarity: RAG, tool use/function‑calling, prompt & retrieval evaluation, safety guardrails.
- Practical coding (JS/Node/TypeScript or Python) and integration experience (APIs, webhooks, ETL/iPaaS).
- Excellent writing, diagrams, and executive presence
- Bonus: CX/Support stack (Zendesk/Salesforce), analytics, contact center/telephony, and regulated data environments.
- High Impact in the cutting-edge field: Be at the vanguard of AI innovation.
- Compensation Package: Competitive salary, comprehensive benefits, and meaningful equity stakes.
- Do right for our customers
- We are data-driven
- Be entrepreneurial
- Strive to be better, together
Join us in changing the face of enterprise customer support.