Principal Solutions Architect - Expert Services
New
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JobgetherEnterprise Software
100% remote work opportunity within the United States.Full-TimePrincipal
Salary$150,000–$250,000 annual OTE (on-target earnings).
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Job Details
- Experience
- 12+ years of experience in enterprise software delivery, solution architecture, consulting, digital transformation, or technology leadership.
- Required Skills
- Cloud ComputingGenerative AI
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.
Responsibilities
- 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.
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