Principal Solutions Architect - Expert Services

About the role

The Principal Solutions Architect will serve as a senior technical advisor, guiding enterprise customers through the design, implementation, and optimization of advanced AI-powered solutions. This role combines enterprise architecture, consulting leadership, and emerging technology expertise to help organizations unlock the value of intelligent automation and connected data.

Responsibilities

• Lead complex enterprise engagements, providing technical direction, architectural expertise, and strategic guidance throughout the customer transformation lifecycle.
• Ensure solutions align with business goals and technical requirements.
• Partner with customer executives, implementation teams, product groups, and engineering organizations to drive successful outcomes.
• Translate complex business challenges into transformative digital solutions.
• Design enterprise architectures leveraging AI platforms, low-code technologies, graph capabilities, cloud technologies, and enterprise systems.
• Establish architectural standards around security, governance, scalability, observability, and operational excellence.
• Guide customers in identifying high-value AI use cases and designing agentic workflows that automate complex business processes.
• Support customer adoption, value realization, and expansion of intelligent technology capabilities.
• Contribute reusable frameworks, implementation assets, architectural standards, and best practices to improve delivery excellence.

Requirements

• 12+ years of experience in enterprise software delivery, solution architecture, consulting, digital transformation, or technology leadership roles.
• 5+ years of hands-on experience designing and implementing graph database solutions and enterprise knowledge graph architectures.
• Strong experience with graph data modeling, ontology design, semantic architectures, and relationship analytics.
• Experience with graph database technologies such as Neo4j, Amazon Neptune, TigerGraph, Stardog, ArangoDB, or similar platforms.
• Knowledge of graph query languages such as SPARQL, Cypher, Gremlin, or equivalent technologies.
• Experience leading large-scale technology implementations for enterprise organizations.
• Strong understanding of artificial intelligence, machine learning, generative AI, agentic AI, and enterprise automation platforms.
• Experience designing context engineering strategies, including information organization, data chunking, summarization, governance, and knowledge source management.
• Demonstrated success managing executive stakeholder relationships and complex delivery programs.
• Exceptional communication, facilitation, consulting, and leadership skills.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field.

Preferred Qualifications

• Experience in manufacturing environments, Product Lifecycle Management (PLM), digital thread initiatives, engineering processes, or product intelligence solutions.
• Experience implementing graph-based digital thread or manufacturing knowledge graph solutions.
• Familiarity with semantic web standards including RDF, OWL, linked data, and knowledge representation frameworks.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience implementing Retrieval-Augmented Generation (RAG), agent frameworks, and enterprise AI architectures.
• Knowledge of enterprise data governance, master data management, and metadata management practices.
• Advanced degree in Computer Science, Engineering, Data Science, Information Systems, or related fields.
• Relevant certifications in cloud architecture, AI, enterprise architecture, or graph technologies.

Benefits

A competitive compensation package with an estimated OTE range of $150,000-$290,000 annually.

Opportunity to lead innovative enterprise AI and digital transformation initiatives.

Fully remote work flexibility within the United States.

High-impact role supporting global enterprise customers and complex technology programs.

Opportunity to work with advanced AI, graph, automation, and low-code technologies.

Collaboration with experienced technology leaders, architects, engineers, and transformation specialists.

Career growth opportunities within a global technology organization.

Opportunity to shape best practices for emerging enterprise intelligence solutions.

Inclusive environment focused on innovation, collaboration, and continuous learning.