Senior Solutions Architect ( West Coast US ) at Qdrant

, , United States -

Full Time

Start Date

Immediate

Expiry Date

21 Mar, 26

Salary

0.0

Posted On

21 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Semantic Search, Kubernetes, Cloud Native Deployments, Python, Golang, Typescript, Technical Solution Delivery, Enterprise Sizing, TCO Calculation, System Tuning, Customer Feedback, Architectural Reviews, Migration Assessments, Agentic AI, RAG Solutions, High-Availability Architectures

Industry

Software Development

Description

As part of the technical sales organization you will partner with Account Executives to drive the technical win. Defining and managing proof of value and assuring the Clients attain optimal throughput, latency and relevance. You will act as a trusted advisor in search and an internal technical sponsor for client stakeholders. Become part of a highly skilled technical team helping clients deploy next generation semantic search solutions. Tasks Become an expert in Semantic search to solve real-world problems. Design and deploy resilient, high-availability search architectures capable of handling massive throughput and strict enterprise SLAs. Lead architectural reviews, migration assessments, and workshops focused on search, agentic AI and RAG Solutions. Primarily focused on Semantic Search. Represent the voice of the customer; bring customer feedback to product teams to influence feature development and future product roadmap. Partner with Business Development teams to define the technical components of best in class GTM concepts, solutions, and initiatives. Collaborate deeply with Engineering, Developer Relations and Support to ensure customers have a great experience with the product and the company. Experience with Kubernetes and Cloud native deployments Requirements 4+ years of technical solution delivery in a customer facing role Experience with Enterprise Sizing & Pricing. Ability to calculate TCO (Total Cost of Ownership) and model hardware requirements (RAM/CPU) for high-scale distributed systems. Ability to articulate complex technical requirements Experience with Python, Golang and Typescript/JS or equivalent Experience navigating procurement, infosec reviews, and MSA redlines in a technical capacity. Experience tuning a complex system to gain performance and reliability Bonus Experience with Vector database and other Search solution ( SOLR, Lucene etc. ) Benefits A remote-first, international team working on cutting-edge AI infrastructure. A competitive salary with additional perks. Flexible working hours and async-friendly culture. Regular team offsites and virtual events. Hardware budget – choose your own setup.

Responsibilities

The Senior Solutions Architect will partner with Account Executives to drive technical wins and manage proof of value for clients. They will act as a trusted advisor and help clients deploy next-generation semantic search solutions.