Solutions Architect

. Lead discovery workshops with prospects to identify pain points, processes, and blockers .

Posted 9/25/2026full-timeRemoteMid-LevelSeniorWebsite

Tools & technologies

CloudElasticSearchKubernetesPythonSQL

Key responsibilities & impact

Lead discovery workshops with prospects to identify pain points, processes, and blockers
Define As-Is and To-Be states with customers and translate business objectives into solution architecture
Scope architecture, timelines, deliverables, success criteria, and effort estimates with customers
Validate feasibility with project managers and engineers
Document findings in Statements of Work and project scoping templates
Own technical win strategy for accounts
Demonstrate Squirro’s enterprise AI platform through tailored presentations and demos
Scope and run Proof-of-Concepts on client data
Prepare data, configure solutions, and prototype against customer success criteria
Answer technical questions and respond to RfPs and RfIs
Address objections from architects, CISOs, and IT leadership
Partner with Account Executives from qualification through deal closure
Own presales-to-delivery handover and remain the architectural point of contact during implementation
Support post-go-live architecture evolution and expansion opportunities
Channel customer feedback into Product and Engineering
Build and maintain reusable presales assets, including demo environments, RfP answer libraries, PoC playbooks, scoping calculators, and SOW templates
Contribute to retrospectives and feedback loops
Enable Account Executives and partners on technical positioning and share best practices

What you’ll need

4+ years of experience in technical consulting, solution engineering, data science, data engineering, or software development
Client-facing experience in a technical sales or consulting role
Experience explaining complex solutions to technical and non-technical audiences
Consulting mindset and workshop facilitation skills
Hands-on experience building or deploying LLM/RAG solutions
Understanding of embeddings, hybrid retrieval, prompt design, grounding, and permissions-aware enterprise search
Experience with taxonomies and knowledge graphs, or Elasticsearch/OpenSearch, is a plus
Proficiency with Python and SQL for data preparation and prototyping
Experience with REST APIs and enterprise connectors including SharePoint, Confluence, and databases
Knowledge of authentication including OIDC, SAML, and AD
Understanding of cloud, Kubernetes, and on-premises or air-gapped deployments
Ability to defend architecture in front of a CISO
Industry experience in Financial Services, Government, or Manufacturing is preferred
Fluency in English
Additional languages preferred, particularly Chinese, Arabic, German, French, or Italian
A degree in Computer Science, Data Science, Machine Learning, or a related technical discipline
Based in the EU

Comp & perks