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 dives: lead architecture and roadmap sessions; crisply explain tradeoffs to technical and non‑technical audiences.

Requirements

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.

Benefits

High Impact in the cutting-edge field: Be at the vanguard of AI innovation.
Compensation Package: Competitive salary, comprehensive benefits, and meaningful equity stakes.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

solutions architectureapplied engineeringsystem designmicroserviceseventingRESTGraphQLdata modelingcodingintegration

Soft Skills

excellent writingdiagramsexecutive presence