The Role
Own end-to-end architecture for an AI-native, hyperscaler-agnostic CPQ product: design semantic graph core, agentic LLM services, RAG pipelines, async APIs, and lead technical delivery, mentoring, and build-vs-buy decisions.
Summary Generated by Built In
Principal Architect - CPQ product will own the end-to-end architecture of an AI-native platform built on frontier AI models and agentic workflows. Define the technical vision across product architecture, data platforms, pricing engines, knowledge systems, and AI services while making critical build-vs-buy, platform, and model strategy decisions. Partner closely with product, engineering, and business stakeholders to create a scalable, enterprise-grade solution that transforms complex sales and pricing processes through automation and intelligence. This is a hands-on leadership role requiring deep technical expertise, architectural rigor, and the ability to attract and mentor high-caliber engineering talent.
What will you own?
• 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.
Must-Have Experience:
• 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).
• 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).
Nice to Have:
• 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.
Candidates should demonstrate the below listed critical leadership qualities:
• Customer Advocacy - Ensures customer success on stated and unstated business priorities through strategic advice and market leading solutions.
• Owner’s Mindset - Is passionate about Brillio’s business, deeply committed to its success and makes decisions that are in the best interest of the firm.
• Innovation Ethos - Embraces ambiguity and adopts relentless experimentation to challenge current practices and enable continuous growth.
• Execution with Pace - Displays agility to deliver high quality results in the face of changing stakeholder expectations.
• Big Picture Thinking - Creates a common definition of shared success and sets bold targets that inspire the team towards new horizons.
• Winning Through Teams - Enables a culture of collaboration and empowers teams to "raise their game” to create a winning formula.
• Owner’s Mindset - Is passionate about Brillio’s business, deeply committed to its success and makes decisions that are in the best interest of the firm.
• Innovation Ethos - Embraces ambiguity and adopts relentless experimentation to challenge current practices and enable continuous growth.
• Execution with Pace - Displays agility to deliver high quality results in the face of changing stakeholder expectations.
• Big Picture Thinking - Creates a common definition of shared success and sets bold targets that inspire the team towards new horizons.
• Winning Through Teams - Enables a culture of collaboration and empowers teams to "raise their game” to create a winning formula.
Skills Required
- 15+ years building software with a proven record shipping 0-to-1 products through scale
- Core LLM engineering: designing agentic systems with frontier models (Claude, GPT), tool/function calling, multi-step orchestration, and memory
- Production RAG experience: embeddings, vector search, chunking, re-ranking, semantic field-mapping, and grounding over enterprise data
- Prompt and context engineering: structured/JSON output, schema validation, evals/regression harnesses, guardrails, and cost/latency/quality trade-offs
- Strong in Python and modern JS/TS (React, Vite)
- Experience with async services, graph/semantic data modeling, containers, and cloud (Azure, AWS, GCP)
- CPQ / quote-to-cash or enterprise SaaS exposure (Salesforce or Revenue Cloud familiarity a plus)
- Leadership qualities: customer advocacy, ownership mindset, innovation, execution with pace, big-picture thinking, team building
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
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The Company
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.
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