Solutions Architect
AI Summary
Solutions Architect who designs and validates complex enterprise systems, leads pre- and post-sales technical work, and guides POC to launch with production‑like architectures and executive-facing tradeoffs.
About this role
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
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.
What makes you a fit
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.
What We Offer:
High Impact in the cutting-edge field: Be at the vanguard of AI innovation.
Compensation Package: Competitive salary, comprehensive benefits, and meaningful equity stakes.
What unites us is our Values and the passion we share to live by them:
Do right for our customers
We are data-driven
Be entrepreneurial
Strive to be better, together
MavenAGI is an equal-opportunity employer that values diversity and is committed to fostering an environment where everyone feels included.
Join us in changing the face of enterprise customer support.
Skills
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