Principal Solutions Architect - Expert Services [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Solutions Architect - Expert Services based in the United States.

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.
The position focuses on delivering scalable solutions using knowledge graphs, AI platforms, enterprise integrations, and modern application technologies.
Working closely with executives, business stakeholders, engineering teams, and delivery partners, this leader will translate complex business challenges into transformative digital solutions.
The ideal candidate brings deep expertise in graph technologies, AI architectures, and enterprise transformation with a passion for driving measurable customer outcomes.
This is an opportunity to shape the future of intelligent enterprises by helping organizations modernize operations and accelerate AI adoption.

Accountabilities:

The Principal Solutions Architect will lead complex enterprise engagements, providing technical direction, architectural expertise, and strategic guidance throughout the customer transformation lifecycle.

• Lead end-to-end delivery of strategic customer programs from initial discovery through production deployment and operationalization.
• Serve as the primary technical leader across multiple complex enterprise engagements, ensuring solutions align with business goals and technical requirements.
• Partner with customer executives, implementation teams, product groups, and engineering organizations to drive successful outcomes.
• Provide executive-level guidance on AI transformation, enterprise intelligence, digital modernization, and automation strategies.
• Translate business objectives into scalable, secure, and integrated solution architectures.
• Design enterprise architectures leveraging AI platforms, low-code technologies, graph capabilities, cloud technologies, and enterprise systems.
• Develop knowledge graph architectures connecting business processes, products, systems, data assets, and organizational knowledge.
• Create semantic data models that enable AI reasoning, contextual intelligence, relationship analytics, and intelligent automation.
• Establish architectural standards around security, governance, scalability, observability, and operational excellence.
• Lead the design and implementation of enterprise knowledge graph solutions, including ontology design, graph modeling, data management, querying, and inference capabilities.
• Define best practices for graph performance, governance, scalability, and production operations.
• Guide customers in identifying high-value AI use cases and designing agentic workflows that automate complex business processes.
• Design AI solutions combining structured and unstructured data sources through knowledge graphs and intelligent automation.
• Establish governance approaches for AI agents, data access, knowledge management, and responsible AI adoption.
• 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:

The ideal candidate will bring extensive experience in enterprise architecture, AI transformation, solution consulting, and complex technology implementations.

• 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.
• Deep expertise in enterprise architecture, systems integration, cloud platforms, distributed systems, and modern software ecosystems.
• 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:

• 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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.