Brillio

22 hours ago

Principal Architect - CPQ product

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Own the end-to-end architecture for an AI-native CPQ product, defining the technical vision across product architecture, data platforms, pricing engines, knowledge systems, and AI services. Make critical build-vs-buy and model strategy decisions for a hyperscaler/LLM-agnostic approach. Lead technical delivery end-to-end, mentor engineers, and partner with product, engineering, and business stakeholders to automate and intelligently transform complex sales and pricing workflows.

Location: New York, Dallas

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Define the architecture for a hyperscaler and LLM-agnostic CPQ product built to run on customer infrastructure.
•Design a semantic data core using graph-based modeling, typed relationships, multi-tenant isolation, and provenance.
•Architect agentic services including tool-using LLM agents, orchestration, guardrails, and retrieval grounding.
•Set standards for async API design, state machines, code generation/templating, and draft-to-active data lifecycles.
•Lead technical delivery end-to-end and mentor engineers while making build-vs-buy and model-selection decisions.

Key Requirements

•15+ years building software and shipping real products from 0-to-1 through scale.
•Strong LLM engineering experience designing agentic systems with frontier models (Claude/GPT), including tool/function calling, orchestration, and memory.
•Experience with production RAG (embeddings, vector search, chunking/re-ranking, semantic field mapping, and grounding over enterprise data).
•Prompt and context engineering skills including structured/JSON output, schema validation, evals/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).

Experience:15+ years

Skills:Customer advocacyOwner’s mindsetInnovationExecutionBig picture thinking

Tech Stack:PythonJavaScriptTypeScriptReactViteAzureAWSGCPClaudeGPTJSONSchema validationContainers

Company Brief

Brillio

Provides digital transformation and IT consulting services, including cloud migration, analytics, digital engineering, and managed services to accelerate business outcomes for enterprises across industries.

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Santa Clara, United States

Founded: 2014

Website LinkedIn

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Brillio

22 hours ago

Principal Architect - CPQ product

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: New York, Dallas

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Define the architecture for a hyperscaler and LLM-agnostic CPQ product built to run on customer infrastructure.
•Design a semantic data core using graph-based modeling, typed relationships, multi-tenant isolation, and provenance.
•Architect agentic services including tool-using LLM agents, orchestration, guardrails, and retrieval grounding.
•Set standards for async API design, state machines, code generation/templating, and draft-to-active data lifecycles.
•Lead technical delivery end-to-end and mentor engineers while making build-vs-buy and model-selection decisions.

Key Requirements

•15+ years building software and shipping real products from 0-to-1 through scale.
•Strong LLM engineering experience designing agentic systems with frontier models (Claude/GPT), including tool/function calling, orchestration, and memory.
•Experience with production RAG (embeddings, vector search, chunking/re-ranking, semantic field mapping, and grounding over enterprise data).
•Prompt and context engineering skills including structured/JSON output, schema validation, evals/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).

Experience:15+ years

Skills:Customer advocacyOwner’s mindsetInnovationExecutionBig picture thinking

Tech Stack:PythonJavaScriptTypeScriptReactViteAzureAWSGCPClaudeGPTJSONSchema validationContainers

Company Brief

Brillio

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Santa Clara, United States

Founded: 2014

Website LinkedIn