
Principal Solution Architect
Posted Sep 14

Posted Sep 14
This is a fully remote position, open to applicants in Poland.
• Define and enhance the architectural vision for Workflow Advisory and associated knowledge-driven platform functionalities.
• Architect semantic structures, knowledge models, and knowledge graph capabilities that integrate workflows, data, decisions, and insights.
• Establish architecture patterns that facilitate workflow automation, intelligent decision support, and future autonomous applications.
• Set standards for knowledge representation, lifecycle management, governance, and reuse across various platforms.
• Convert business workflows into reusable domain models, services, and architectural frameworks.
• Create scalable, secure, and resilient cloud-native architectures for both enterprise and customer-facing applications.
• Ensure that platform services, APIs, and knowledge assets are discoverable, composable, and usable by AI-driven applications.
• Leverage AI and LLM technologies to enhance knowledge discovery, workflow execution, and advisory experiences.
• Collaborate with architects and engineering teams on enterprise security, privacy, compliance, and SOC2 standards.
• Work alongside product, engineering, and consulting teams to align architectural investments with business objectives and technology strategy.
• Promote the adoption of architectural standards and reusable platform capabilities across teams.
• Mentor engineers and architects while communicating architectural direction to senior leadership and stakeholders.
• Report directly to the Sr. Manager of Architecture.
• Bachelor's degree in Computer Science, Software Engineering, or a related field with equivalent practical experience.
• Over 10 years of experience in designing and delivering complex software platforms.
• Previous experience as a Software Architect, Product Architect, Principal Engineer, or in a comparable technical leadership role.
• Proven experience in designing AI-enabled, knowledge-driven, or workflow-centric software systems.
• Familiarity with knowledge graphs, semantic architectures, ontologies, taxonomies, graph databases, or retrieval systems.
• Experience in evaluating and implementing AI technologies, including LLMs, RAG architectures, intelligent assistants, or autonomous agent models.
• Experience leading technical exploration, rapid prototyping, or proof-of-concept initiatives.
• Strong understanding of cloud-native architectures, APIs, distributed systems, and contemporary software engineering practices.
• Experience in designing secure, privacy-focused, and reliable software platforms that comply with enterprise governance requirements.
• Exceptional written, verbal, and presentation skills.
• Willingness and ability to travel internationally up to 15% of the time.
• Annual cash bonuses may be included.
• Stock grants may be included.
• Comprehensive benefits package.
• In-person onboarding and/or in-person ID verification may be provided or required.
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