
Solutions Architect
Posted 14 hours ago

Posted 14 hours ago
This is a fully remote position, open to applicants in Europe.
• Facilitate discovery workshops with potential clients to uncover pain points, processes, and obstacles.
• Establish As-Is and To-Be states with clients and convert business goals into solution architecture.
• Define the scope of architecture, timelines, deliverables, success criteria, and effort estimates collaboratively with clients.
• Validate feasibility in collaboration with project managers and engineers.
• Document insights in Statements of Work and project scoping templates.
• Develop and implement technical win strategies for accounts.
• Showcase Squirro’s enterprise AI platform through customized presentations and demonstrations.
• Plan and manage Proof-of-Concepts utilizing client data.
• Prepare data, configure solutions, and prototype to meet customer success criteria.
• Address technical inquiries and respond to RfPs and RfIs.
• Tackle objections from architects, CISOs, and IT leadership.
• Collaborate with Account Executives from the qualification stage through to deal closure.
• Manage the handover from presales to delivery and remain the architectural contact during the implementation phase.
• Assist in post-go-live architecture evolution and identify expansion opportunities.
• Relay customer feedback to Product and Engineering teams.
• Create and maintain reusable presales assets, including demo environments, RfP answer libraries, PoC playbooks, scoping calculators, and SOW templates.
• Participate in retrospectives and feedback cycles.
• Enable Account Executives and partners in technical positioning and share best practices.
• Minimum of 4 years of experience in technical consulting, solution engineering, data science, data engineering, or software development.
• Experience in a client-facing technical sales or consulting role.
• Ability to articulate complex solutions to both technical and non-technical audiences.
• Consulting mindset coupled with effective workshop facilitation skills.
• Practical experience in building or deploying LLM/RAG solutions.
• Familiarity with embeddings, hybrid retrieval, prompt design, grounding, and permissions-aware enterprise search.
• Experience with taxonomies and knowledge graphs, or Elasticsearch/OpenSearch is advantageous.
• Proficiency in Python and SQL for data preparation and prototyping tasks.
• Familiarity with REST APIs and enterprise connectors such as SharePoint, Confluence, and databases.
• Knowledge of authentication protocols including OIDC, SAML, and Active Directory.
• Understanding of cloud environments, Kubernetes, and on-premises or air-gapped deployments.
• Capability to defend architectural decisions in front of a CISO.
• Preferred industry experience in Financial Services, Government, or Manufacturing.
• Fluency in English is required.
• Proficiency in additional languages is preferred, especially Chinese, Arabic, German, French, or Italian.
• A degree in Computer Science, Data Science, Machine Learning, or a related technical field.
• Must be based in the EU.
• Responsibility for the technical success of accounts.
• Engagement with cutting-edge AI and search challenges.
• Collaboration with seasoned engineers.
• Agile, startup-like environment with swift decision-making.
• Emphasis on continuous feedback.
• Commitment to lifelong learning.
• Support for personal development.
• Opportunity to share and implement ideas.
• Significant impact while working with leading organizations.
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