Principal Architect - CPQ product
On-siteDallas, Texas, United States or New York, United States
Job Summary
Define the architecture for an AI-native, hyperscaler-agnostic platform running on customer infrastructure, including semantic data cores with graph-based modeling and multi-tenant isolation. Design agentic services featuring tool-using LLM agents, orchestration, guardrails, and retrieval grounding as first-class product capabilities. Set standards for async API design, state machines, and draft-to-active data lifecycles while leading end-to-end technical delivery and mentorship. Make critical build-vs-buy and model-selection decisions to transform complex sales and pricing processes through automation. This hands-on leadership role requires deep expertise in frontier LLMs, production RAG, and Python/JS/TS to deliver scalable, enterprise-grade solutions.
Required Qualifications
- 15+ years building software, with a proven record of shipping real products 0-to-1 through scale - not just running projects.
- Core LLM engineering: designing agentic systems with frontier models (Claude / GPT) - tool / function calling, agent skills, multi-step orchestration, and memory.
- Production RAG: embeddings, vector search, chunking and re-ranking, semantic field-mapping, and grounding model output over enterprise data.
- Prompt & context engineering: structured / JSON output, schema validation, evals and regression harnesses, guardrails, and cost / latency / quality trade-offs.
- Strong in Python and modern JS/TS (React / Vite); async services, graph / semantic data modeling, containers, and cloud (Azure / AWS / GCP).
- Define the architecture for a hyperscaler and LLM-agnostic product built to run on customer infrastructure - not a platform-locked implementation.
- Design the semantic data core: graph-based modeling with typed relationships, multi-tenant isolation, and provenance.
- Architect agentic services - tool-using LLM agents, orchestration, guardrails, and retrieval grounding - as first-class product capabilities.
- Set standards for async API design, state machines, code generation/templating, and draft-to-active data lifecycles.
- Lead technical delivery end-to-end, mentor engineers, and make the build-vs-buy and model-selection calls.
Desired Qualifications
- CPQ / quote-to-cash or enterprise SaaS exposure.
- Salesforce or Revenue Cloud familiarity is a plus, not a requirement - this is a non-Salesforce-native product.
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