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Semantic Ai Jobs in Racine, WI (NOW HIRING)

Kiongroup

Senior AI Context Engineer

Wauwatosa, WI · Hybrid

$134K - $179K/yr

We are seeking a highly experienced Semantic Context Data & AI Engineer to help evolve our Enterprise Data Platform into an AI-native, context-aware ecosystem. This role focuses on engineering ...

Kiongroup

Senior AI Context Engineer

Wauwatosa, WI · Hybrid

$134K - $179K/yr

We are seeking a highly experienced Semantic Context Data & AI Engineer to help evolve our Enterprise Data Platform into an AI-native, context-aware ecosystem. This role focuses on engineering ...

Accenture

Advanced AI Full Stack Engineer

Milwaukee, WI · On-site

Our Data & AI practice brings together more than 45,000 professionals dedicated to helping clients ... for semantic retrieval, and version-controlled procedural pipelines - each backed by swappable ...

Pwc

ERP AI Engineer - Manager

Milwaukee, WI · On-site

$99K - $232K/yr

... and semantic search architectures - Translating complex business problems into AI solution designs - Contributing to business development and proposal writing - Cloud certifications in AI/ML or ...

Varsity Tutors

HTML Tutor

Milwaukee, WI · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain semantic markup, responsive design principles, ARIA roles, and SEO-friendly ...

MLG Capital

Analytics Engineer

Brookfield, WI · On-site

... AI & predictive analytics, and enterprise data initiatives. This is a strong opportunity for a high ... Partner with the BI Developer to develop, enhance, and maintain Power BI dashboards, semantic ...

MLG Capital

Analytics Engineer

Brookfield, WI · On-site

... AI & predictive analytics, and enterprise data initiatives. This is a strong opportunity for a high ... Partner with the BI Developer to develop, enhance, and maintain Power BI dashboards, semantic ...

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Showing results 1-20

All JobsSemantic Ai JobsSemantic Ai Jobs in Racine, WI

Semantic Ai information

See Racine, WI salary details

$52K

$111.3K

$162.7K

How much do semantic ai jobs pay per year?

As of Jul 15, 2026, the average yearly pay for semantic ai in Racine, WI is $111,278.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,400.00 and $125,200.00 per year, depending on experience, location, and employer.

What is the difference between Semantic Ai vs Natural Language Processing Specialist?

AspectSemantic AiNatural Language Processing Specialist
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of semantic modelsDegree in Linguistics, Computer Science, or AI; expertise in NLP tools
Work EnvironmentResearch labs, AI development companies, tech firmsTech companies, research institutions, NLP-focused teams
Industry UsageAI applications, knowledge graphs, semantic searchChatbots, language understanding, text analysis
Search & Comparison IntentUnderstanding AI semantic capabilitiesSpecializing in NLP techniques and tools

Semantic Ai focuses on understanding and modeling the meaning of data using semantic technologies, while a Natural Language Processing Specialist specializes in developing algorithms and models to process and analyze human language. Both roles often overlap but differ in their core focus: semantic understanding versus language processing techniques.

What cities near Racine, WI are hiring for Semantic Ai jobs? Cities near Racine, WI with the most Semantic Ai job openings:
Semantic Ai jobs near you
Infographic showing various Semantic Ai job openings in Racine, WI as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $111,278 per year, or $53.5 per hour.

Senior AI Context Engineer

Kiongroup

Wauwatosa, WI • Hybrid

$134K - $179K/yr

Other

Re-posted 24 days ago

Job description

We are seeking a highly experienced Semantic Context Data & AI Engineer to help evolve our Enterprise Data Platform into an AI-native, context-aware ecosystem. This role focuses on engineering semantic layers, certified KPI frameworks, metadata systems, and AI-ready data abstractions that enable trusted analytics and reliable AI consumption.
This is a hands-on senior/principal-level engineering role requiring deep expertise in cloud data engineering, semantic modeling, and AI-oriented data platform design. The ideal candidate combines strong technical execution skills with architectural thinking and cross-functional collaboration.We offer:
  • Career Development
  • Competitive Compensation and Benefits
  • Pay Transparency
  • Global Opportunities

Learn More Here:https://www.dematic.com/en-us/about/careers/what-we-offer

Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

The base pay range for this role is estimated to be $134,250.00 - $179,000.00 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge and skills.

Tasks and Qualifications:

This is What You Will do in This Role:

  • Design and implement enterprise semantic models and certified KPI layers to ensure trusted, reusable business metrics.
  • Build AI-safe data abstraction layers that prevent metric recomputation and ensure consistency across analytics and AI use cases.
  • Develop and enforce data contracts, metadata standards, and semantic governance frameworks across domains.
  • Engineer scalable batch and real-time streaming data pipelines in a modern cloud environment (GCP preferred).
  • Collaborate with AI/ML teams to design reliable grounding strategies for AI applications and agents.
  • Implement metadata management capabilities including cataloging, lineage, observability, and automated data quality checks.
  • Apply DataOps principles including CI/CD, automated testing, and deployment automation for data products.
  • Support domain-oriented and microservices-based data architecture patterns.
  • Mentor engineers and promote best practices in semantic modeling, governance, and AI-ready platform design.

What We are Looking For:

  • 10-15+ years of experience in enterprise-scale cloud data engineering and distributed systems.
  • Strong hands-on experience building modern data platforms in GCP (BigQuery, Dataform, Pub/Sub, Composer/Airflow, Cloud Run).
  • Deep expertise in SQL, Python, and data modeling (dimensional modeling, lakehouse architectures).
  • Experience with open-source tech stack such as Iceberg, Trino, Kubernetes, Docker etc.
  • Hands-on experience with metadata management, lineage tracking, observability, and data quality frameworks.
  • Experience building both batch and real-time streaming data systems.
  • Strong understanding of semantic modeling, business metric governance, and AI consumption patterns.

What Will Set You Apart:

  • Experience with Data Mesh or domain-driven data architecture.
  • Exposure to AI/LLM integration patterns including Retrieval-Augmented Generation (RAG).
  • Supply chain background

Location & Authorization:This is a hybrid role requiring proximity to one of our U.S. offices (Atlanta GA, Grand Rapids MI, Milwaukee WI).Applicants must be authorized to work in the U.S. without the need for current or future sponsorship.

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