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Knowledge Graph Architect Jobs in Virginia (NOW HIRING)

Tachyon Technologies LLC

AI Architect

Winchester, VA · On-site

$61.25 - $80.75/hr

APIs (REST, Graph API) * Event-driven & messaging architectures * Enable seamless data flow across ... Knowledge of advisor workstation modernization tools * Familiarity with contact center platforms (e ...

Photon

Technical Architect - VA

Norfolk, VA

$64 - $77.50/hr

... graph and/or unstructured data technologies such as SQL Server, Azure SQL, Azure Data Experience ... Deep understanding of Azure DevOps process Knowledge of authentication (SAML/OAuth/OIDC), MFA, and ...

Photon

Technical Architect - VA

Norfolk, VA · On-site

$64 - $77.50/hr

... graph and/or unstructured data technologies such as SQL Server, Azure SQL, Azure Data Experience ... Deep understanding of Azure DevOps process Knowledge of authentication (SAML/OAuth/OIDC), MFA, and ...

System One

AI/ML Solutions Architect

Mclean, VA · On-site

AI/ML Solutions Architect Location: McLean, VA Type: Contract To Hire Work Model: Remote Hours: 40 ... Integrate knowledge graphs and develop graph-enhanced retrieval solutions. * Create and fine-tune ...

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Knowledge Graph Architect information

What are Knowledge Graph Architects?

Knowledge Graph Architects are professionals who design, develop, and maintain knowledge graphs—data structures that organize information into interconnected entities and relationships. They combine expertise in data modeling, semantic technologies, and ontologies to enable advanced data integration, search, and analytics within organizations. Their work helps businesses extract meaningful insights from complex datasets by structuring information in ways that are both machine-readable and semantically rich.

What are some typical challenges Knowledge Graph Architects face when integrating data from diverse sources?

Knowledge Graph Architects often encounter challenges related to data heterogeneity, including varying data formats, inconsistent naming conventions, and differing semantics across multiple systems. Successfully integrating these disparate data sources requires designing robust ontologies, mapping relationships, and resolving conflicts to ensure data consistency and usability. Collaboration with domain experts, data engineers, and business stakeholders is essential to align technical solutions with business needs, making strong communication skills and adaptability crucial in this role.

What are the key skills and qualifications needed to thrive as a Knowledge Graph Architect, and why are they important?

To thrive as a Knowledge Graph Architect, you need expertise in data modeling, semantic technologies, graph databases, and a strong background in computer science or information systems. Familiarity with tools like RDF, SPARQL, OWL, Neo4j, and experience with data integration platforms or cloud-based data services is highly valuable. Strong problem-solving, communication, and stakeholder management skills are essential to translate complex data needs into scalable knowledge graph solutions. These competencies enable effective design, implementation, and maintenance of knowledge graphs, which are critical for deriving actionable insights from complex data landscapes.
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What cities in Virginia are hiring for Knowledge Graph Architect jobs? Cities in Virginia with the most Knowledge Graph Architect job openings:
Knowledge Graph Architect jobs near you
AI Architect

AI Architect

Tachyon Technologies LLC

Winchester, VA • On-site

$61.25 - $80.75/hr

Full-time

Posted 25 days ago

Job description

Overview:
Role: AI Architect
Location: Winchester, CT
Long Term
Job Title: Data & Application Architect (AI Solutions)
Overview
The Data & Application Architect (AI Solutions) is responsible for designing and delivering end-to-end technology solutions that support wealth advisory, client engagement, portfolio management, and operational efficiency.
This role partners closely with business and technology stakeholders to translate strategic objectives into scalable, secure, and compliant architectures across the wealth management ecosystem.
Key Responsibilities
1. Solution Architecture & Design
  • Define end-to-end architecture for wealth management platforms
  • Develop architecture blueprints, reference models, and roadmaps
  • Ensure solutions are scalable, secure, resilient, and cloud-enabled

2. Platform Integration
  • Architect integrations across:
    • CRM platforms (e.g., Salesforce FSC)
    • Portfolio & trading systems
    • Financial planning tools
    • Client onboarding/KYC platforms
  • Design integration patterns:
    • APIs (REST, Graph API)
    • Event-driven & messaging architectures
  • Enable seamless data flow across front, middle, and back-office systems

3. Digital & Client Experience
  • Design omnichannel solutions (web, mobile, conversational AI)
  • Enable personalized client experiences using data insights
  • Support modernization of advisor tools and digital workplace platforms

4. Data & Analytics Architecture
  • Define architecture for:
    • Customer 360° data platforms
    • Investment analytics & reporting
    • Data governance & lineage
  • Work with platforms like:
    • Databricks, Snowflake, Azure Data Fabric
  • Establish standards for:
    • Data quality & governance
    • Performance optimization & cost efficiency

5. AI, Automation & Innovation
  • Implement AI/ML use cases:
    • Advisor assistance (Copilot, recommendations)
    • Predictive analytics (segmentation, next-best action)
    • Document automation & workflows
  • Design multi-agent AI workflows and automation solutions
  • Drive innovation with production-ready AI systems

6. Security, Risk & Compliance
  • Ensure compliance with SEC, FINRA, GDPR
  • Implement:
    • Data encryption
    • Authentication & Authorization (AuthN/AuthZ)
    • SSO & identity management
  • Partner with risk teams for governance and compliance

7. Delivery Governance
  • Provide architecture oversight across projects
  • Participate in Architecture Review Boards (ARB)
  • Ensure adherence to enterprise standards and best practices

8. Technology Ecosystem
  • Define integration using:
    • APIs & microservices
    • Event-driven architecture
    • Middleware platforms
  • Align with cloud (Azure/AWS) and DevSecOps strategies

Required Qualifications
Education & Experience
  • Bachelor's/Master's in Computer Science, Engineering, Finance, or related field
  • 10+ years in solution/enterprise architecture
  • Experience in wealth management or financial services domain

Technical Skills
  • CRM: Salesforce Financial Services Cloud (preferred)
  • Cloud: Azure (preferred), AWS/GCP
  • Architecture: APIs, microservices, event-driven systems
  • Data: Data lakes, warehouses, real-time streaming
  • AI Tools: Azure AI, OpenAI, Claude
  • Security: Identity & access management frameworks

Domain Expertise
  • Wealth advisory lifecycle
  • Investment products (equities, fixed income, mutual funds, annuities)
  • Client onboarding, servicing, and reporting workflows

Preferred Qualifications
  • Experience with GenAI (Copilot, NLP, recommendation engines)
  • Knowledge of advisor workstation modernization tools
  • Familiarity with contact center platforms (e.g., Genesys)
  • Certifications: TOGAF, Azure Architect, etc.

Key Competencies
  • Strategic & systems thinking
  • Strong stakeholder and executive communication
  • Business-technology alignment
  • Innovation mindset (AI & automation focus)
  • Problem-solving and decision-making

Skills:
AI,ML,DATA,Salesforce

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