Remote LLM Observability Solutions Architect

ClickHouse, Inc.; Northern (KY); Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Flexible work environment

Healthcare

Equity in the company

Time off

A USD$500 Home office setup

Global Gatherings

Job summary

ClickHouse, Inc. seeks a Langfuse Solutions Architect to drive the combined ClickHouse + Langfuse platform in the AI observability space.

You will be the technical face in the Langfuse community, shaping engagements with AI engineering teams and helping customers instrument and evaluate LLM applications. You’ll lead the technical evaluation process, design reference architectures, and advocate for product improvements that deepen adoption across enterprise clients.

Qualifications

• Hands-on experience in the LLM observability or AI monitoring space.
• Technical depth in the modern AI stack (prompt engineering, RAG, evaluation frameworks).
• Customer-facing experience in pre-sales, solutions engineering, or tech account management.
• Strong foundation in data infrastructure and distributed systems.
• Familiarity with ClickHouse, Postgres, or columnar databases; open source orientation.

Responsibilities

• Lead technical evaluations with AI engineering teams from architecture review through POC and production deployment.
• Map LLM application stack requirements to ClickHouse | Langfuse capabilities.
• Design and deliver reference implementations, schemas, and ingestion patterns for LLM trace data at scale.
• Engage with customers across roles, from engineers to CTOs, to drive adoption.

Skills

LLM observability

Pre-sales engagement

Data infrastructure

Open source communities

AI stack depth

Job description

ClickHouse, Inc. seeks a Langfuse Solutions Architect to drive the combined ClickHouse + Langfuse platform in the AI observability space.

You will be the technical face in the Langfuse community, shaping engagements with AI engineering teams and helping customers instrument and evaluate LLM applications. You’ll lead the technical evaluation process, design reference architectures, and advocate for product improvements that deepen adoption across enterprise clients.