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Semantic Solutions Architect Jobs (NOW HIRING)

... semantic models, curated datasets, reportinglayers, and enterprise analytical data structures. • Lead the architecture and design of Power BI reporting solutions, dashboards, andself-service ...

Build and guide the development of semantic models, curated datasets, reporting layers, and enterprise analytical data structures. Lead the architecture and design of Power BI reporting solutions ...

... semantic models, curated datasets, reporting layers, and enterprise analytical data structures. • Lead the architecture and design of Power BI reporting solutions, dashboards, and self-service ...

... semantic models, curated datasets, reportinglayers, and enterprise analytical data structures. • Lead the architecture and design of Power BI reporting solutions, dashboards, andself-service ...

... solutions that solve serious health issues today and address the medical challenges of tomorrow. We ... Within EKA, the Reference Data Architecture (RDA) team is building Ontoverse to develop AbbVie ...

About the role We're looking for a Partner Solutions Architect to join Fivetran + dbt Labs and own ... The ISVs in scope span business intelligence, semantic and metrics consumption, catalog and ...

AI Solutions Architect

New York, NY · On-site

$69 - $90.75/hr

About the Role As a Solutions Architect at Shelf, you'll be the technical authority behind our most ... or semantic technologies is strongly preferred. * Enterprise Technical Authority - Deep ...

AI Solutions Architect

New York, NY · On-site

$69 - $90.75/hr

About the Role As a Solutions Architect at Shelf, you'll be the technical authority behind our most ... or semantic technologies is strongly preferred. * Enterprise Technical Authority - Deep ...

Semantic AI Engineer

North Chicago, IL · On-site

$93K - $128K/yr

... solutions that solve serious health issues today and address the medical challenges of tomorrow. We ... Within EKA, the Reference Data Architecture (RDA) team is building Ontoverse to develop AbbVie ...

Semantic AI Engineer

North Chicago, IL · On-site

$93K - $128K/yr

... solutions that solve serious health issues today and address the medical challenges of tomorrow. We ... Within EKA, the Reference Data Architecture (RDA) team is building Ontoverse to develop AbbVie ...

We are seeking a Principal Solutions Architect to define the architecture for a governed, zero-copy ... Familiarity with semantic layers, ontologies, knowledge graphs, and retrieval‑augmented ...

AI Solutions Architect

Piscataway, NJ · On-site

$64.25 - $84.50/hr

AI Solutions Architect The AI Solutions Leader defines the technical direction for AI, ML, and data ... Azure AI search : semantic, keyword & hybrid search o Azure document intelligence • Multi ...

We are seeking a Principal Solutions Architect to define the architecture for a governed, zero-copy ... Familiarity with semantic layers, ontologies, knowledge graphs, and retrieval-augmented generation ...

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Semantic Solutions Architect information

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$74.5K

$150.2K

$198K

How much do semantic solutions architect jobs pay per year?

As of Sep 11, 2026, the average yearly pay for semantic solutions architect in the United States is $150,181.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,500.00 and $172,000.00 per year, depending on experience, location, and employer.

What is a semantic solutions architect?

A Semantic Solutions Architect is a specialized IT professional who designs and implements systems that leverage semantic technologies, such as knowledge graphs, ontologies, and linked data, to improve data integration, search, and analysis. They work closely with business and technical stakeholders to create solutions that enable smarter data connectivity and context-aware applications. Their responsibilities often include evaluating semantic tools, defining architecture, and ensuring interoperability between diverse data sources. This role is critical in organizations that need to extract meaningful insights from complex and heterogeneous data.

How does a semantic solutions architect collaborate with cross-functional teams during project implementation?

As a Semantic Solutions Architect, you will frequently work alongside data engineers, software developers, and domain experts to design and integrate semantic technologies into existing systems. Collaboration often involves translating business requirements into technical solutions, establishing ontologies, and ensuring data consistency across platforms. Effective communication is essential, as you’ll bridge the gap between technical and non-technical stakeholders to deliver scalable and meaningful data architectures. Regular meetings and iterative feedback are common to align project goals and address challenges as they arise.

What are the key skills and qualifications needed to thrive as a semantic solutions architect, and why are they important?

To thrive as a Semantic Solutions Architect, you need expertise in ontology modeling, semantic technologies (like RDF and OWL), and a strong background in computer science or information systems. Familiarity with tools such as Protégé, SPARQL endpoints, and graph databases, as well as relevant certifications in semantic web or enterprise architecture, is highly valuable. Exceptional analytical abilities, problem-solving skills, and effective communication are crucial for translating business requirements into semantic solutions and collaborating with stakeholders. These skills ensure the successful design and implementation of scalable, interoperable data architectures that drive organizational insights and efficiency.

What is the difference between Semantic Solutions Architect vs Data Engineer?

AspectSemantic Solutions ArchitectData Engineer
Required credentialsBachelor's in CS, Data Science, or related; certifications in data modeling or cloud platformsBachelor's in CS, Software Engineering, or related; certifications in cloud or data tools
Work environmentDesigns data semantics, ontologies, and integration solutions in enterprise settingsBuilds and maintains data pipelines, databases, and ETL processes
Employer/industry usageUsed in data-driven organizations focusing on data semantics and knowledge graphsCommon in tech, finance, and healthcare sectors managing large-scale data systems

The Semantic Solutions Architect focuses on designing data semantics and integration strategies, while the Data Engineer builds and maintains data pipelines and infrastructure. Both roles require strong technical skills and often collaborate but serve different functions within data management.

What are popular job titles related to Semantic Solutions Architect jobs?

For Semantic Solutions Architect jobs, the most frequently searched job titles are:

Infographic showing various Semantic Solutions Architect job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, and 6% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $150,181 per year, or $72.2 per hour.

AI/Data Solutions Architect

San Antonio, TX • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Key responsibilities

  • Design and support AI-enabled analytics use cases using Claude, OpenAI, Python, and modern LLM frameworks.

  • Support architecture and implementation of MCP server-based integrations and design AI agent workflows interacting with enterprise tools and data sources.

  • Design scalable data, BI, and analytics architecture using Microsoft Fabric, PowerBI, and cloud-based data platforms, including developing semantic models, reporting layers, and enterprise analytical data structures.


Job description

## AI/Data Solutions ArchitectApplylocations: San Antonio, TXtime type: Full timeposted on: Posted Todayjob requisition id: JR108886**Role Summary**Amerivet is looking for a AI/Data Solutions Architect who can lead thedesign of scalable analytics, reporting, and AI-enabled solutions across the organization.This role will sit at the intersection of AI solutions design, data architecture, BI architectureand business analytics.The ideal candidate will have strong hands-on experience with Microsoft Fabric, PowerBI, Python, Claude, RAG frameworks, token optimization, and MCP server concepts.This individual should be able to design modern data and AI solutions, partner withbusiness stakeholders, and help move AI-enabled analytics from concept to production.A Claude certified / Anthropic certification is preferred.**Key Responsibilities**AI Architecture & Enablement• Design and support AI-enabled analytics use cases using Claude, OpenAI, Python,and modern LLM frameworks.• Build or support RAG-based solutions that connect enterprise data,documentation, and business context to LLM-powered workflows.• Identify opportunities where AI can improve analytics, reporting, automation,decision intelligence, and business productivity.• Apply best practices for prompt engineering, context management, modelselection, token optimization, and cost control.• Help define scalable, secure, governed, and production-ready AI solution patterns.• Support AI governance practices including responsible usage, data privacy, accesscontrols, auditability, and documentation.**MCP / Agentic Workflow Support**• Support architecture and implementation of MCP server-based integrationswhere applicable.• Help design AI agents and assistant workflows that can securely interact withenterprise tools, reporting assets, data sources, and documentation.• Collaborate with engineering teams to define tool access, retrieval logic,orchestration patterns, and integration standards.**Data, BI & Analytics Architecture**• Design scalable data, BI, and analytics architecture using Microsoft Fabric, PowerBI, and modern cloud-based data platforms.• Build and guide the development of semantic models, curated datasets, reportinglayers, and enterprise analytical data structures.• Lead the architecture and design of Power BI reporting solutions, dashboards, andself-service analytics capabilities.• Define best practices for data modeling, metric standardization, data governance,reporting architecture, and BI platform development.• Partner with business and technical teams to translate strategic requirements intoscalable data and analytics solutions.• Support enterprise KPI frameworks, executive dashboards, operational reporting,and reusable reporting patterns.**Required Technical Skills**The candidate should have strong working knowledge of the following:• Microsoft Fabric• Power BI• Python• Claude• OpenAI• Generative AI / LLMs• RAG frameworks• Prompt engineering• Token optimization• MCP server concepts• Data modeling and semantic layer design• SQL and analytical data structures• Dashboard design and KPI development• Data governance and reporting standardization• API-based data and AI integrations**Preferred Skills & Certifications**• Claude / Anthropic certification preferred.• Experience building production-grade AI or GenAI solutions.• Experience with vector databases, embeddings, semantic search, and enterpriseknowledge retrieval.• Experience with enterprise AI governance, model evaluation, and cost monitoring.• Experience with Azure AI, Azure OpenAI, or related cloud AI services.• Familiarity with agentic AI frameworks, tool calling, workflow orchestration, and AI-assisted analytics.• Experience supporting executive, finance, operations, clinical, & businessperformance analytics.**Required Qualifications**• 5+ years of experience in data architecture, analytics architecture, BI architecture,AI architecture, or related roles.• Strong hands-on experience with Power BI, data modeling, semantic models, anddashboard delivery.• Strong understanding of Microsoft Fabric or modern cloud-based analyticsplatforms.• Practical knowledge of AI, LLMs, RAG patterns, and enterprise AI use cases.• Experience working directly with business stakeholders to define metrics,requirements, and solution architecture.• Ability to design scalable, governed, and production-ready data and AI solutions.• Strong analytical thinking, problem-solving, communication, and documentationskills.• Ability to operate independently and lead solution design from concept to delivery.This role is located in San Antonio, TX and requires the employee to be on-site at our office 3 days a week.At AmeriVet, we’re committed to your growth, development, well-being, and success. We empower team members with the resources, support, and opportunities needed to thrive in their careers and make a lasting impact in our communities.Here’s what you can expect when you join our team:* Tailored development programs, mentorship, and career pathing to help you achieve your unique goals.* Competitive pay, performance bonuses, 401(k) matching, and student loan assistance to foster your financial well-being.* Health, dental, vision, life insurance, and mental health resources to support your overall well-being.* Generous paid time off and holidays, because your personal time matters.* A supportive, collaborative environment where everyone feels a sense of belonging.Please note: Any Benefits listed above apply to full-time employees.At AmeriVet, your unique skills and passion are celebrated, and every team member has the tools to thrive. Our people-focused approach is centered on helping you grow in your career while making a meaningful impact on the communities we serve.At AmeriVet we believe thriving teams build thriving communities. You will have the tools, resources and opportunities to grow your career – no matter where you start. #J-18808-Ljbffr