Principal Solutions Architect - Expert Services

Accountabilities:

• • Lead end-to-end delivery of strategic enterprise programs, from discovery and solution design through implementation, production deployment, adoption, and value realization.
  • Act as the primary senior technical leader across multiple complex customer engagements, coordinating customer stakeholders, partners, product teams, and engineering organizations.
  • Provide executive-level guidance on enterprise AI transformation, intelligent automation, modernization, and emerging agentic enterprise strategies.
  • Translate business objectives and use cases into scalable solution architectures, reference implementations, technical blueprints, and implementation plans.
  • Design enterprise architectures leveraging agentic AI, knowledge graphs, AI services, application platforms, and cloud-native technologies while meeting security, governance, scalability, and observability requirements.
  • Architect enterprise knowledge graph solutions connecting business processes, operational systems, products, data assets, and organizational knowledge.
  • Lead the design and implementation of production-grade knowledge graphs, including conceptual models, ontology design, semantic data models, graph management, querying, inference, performance, and governance.
  • Establish graph architecture best practices that enable disconnected enterprise data to become connected, contextual intelligence assets.
  • Architect agentic workflows that automate complex business processes and support AI-driven decision-making.
  • Help customers identify, prioritize, and implement high-value AI use cases while establishing responsible governance for agents, knowledge, data access, and model utilization.
  • Design graph-powered retrieval and contextual reasoning architectures that improve the effectiveness and reliability of enterprise AI agents.
  • Apply context engineering strategies covering information selection, chunking, summarization, ordering, and governance across tools, skills, and knowledge sources.
  • Drive delivery quality, customer adoption, operational readiness, and measurable business outcomes throughout the engagement lifecycle.
  • Develop reusable implementation assets, architectural frameworks, methodologies, and best practices while contributing insights to product strategy and continuous improvement.

  Requirements:

  • 12+ years of experience in enterprise software delivery, solution architecture, consulting, digital transformation, or technology leadership.
  • 5+ years of hands-on experience designing and implementing graph database solutions and enterprise knowledge graphs.
  • Deep expertise in enterprise architecture, systems integration, cloud platforms, distributed systems, and scalable technology environments.
  • Strong experience with graph data modeling, ontology design, semantic architectures, relationship analytics, and knowledge representation.
  • Experience with graph database technologies such as Neo4j, Amazon Neptune, TigerGraph, Stardog, ArangoDB, or comparable platforms.
  • Knowledge of graph query languages, ideally including SPARQL, Cypher, Gremlin, or equivalent technologies.
  • Experience leading complex, large-scale technology implementations for Fortune 1000 or similarly sophisticated enterprise organizations.
  • Strong understanding of artificial intelligence, machine learning, generative AI, agentic AI, and enterprise automation platforms.
  • Demonstrated experience with context engineering strategies for managing information across AI tools, skills, and knowledge sources.
  • Proven ability to manage executive stakeholder relationships and lead complex, multi-stakeholder delivery programs.
  • Exceptional communication, facilitation, consulting, problem-solving, and leadership capabilities.
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline.
  • Preferred: Experience in manufacturing, Product Lifecycle Management (PLM), product structures, bills of materials, engineering change management, or digital thread initiatives.
  • Preferred: Experience implementing graph-based digital thread, product intelligence, or manufacturing knowledge graph solutions.
  • Preferred: Familiarity with RDF, OWL, linked data, semantic web standards, and knowledge representation frameworks.
  • Preferred: Experience with AWS, Azure, Google Cloud, RAG architectures, agent frameworks, or enterprise AI implementations.
  • Preferred: Knowledge of enterprise data governance, master data management, and metadata management practices.
  • Preferred: Advanced degree or relevant certifications in cloud architecture, AI, enterprise architecture, or graph technologies.

  Benefits:

  • $150,000–$250,000 annual OTE (on-target earnings).
  • 100% remote work opportunity within the United States.
  • Opportunity to lead high-impact enterprise AI and digital transformation initiatives.
  • Exposure to advanced technologies spanning agentic AI, knowledge graphs, semantic data, cloud platforms, and enterprise automation.
  • Direct engagement with senior executives and major enterprise organizations.
  • Opportunity to shape reusable architecture frameworks, implementation methodologies, and technical best practices.
  • Professional growth through work at the intersection of enterprise architecture, AI, graph technology, and intelligent automation.
  • Opportunity to contribute to platform innovation, customer transformation, and strategic technology initiatives.