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Ai Data Developer Jobs in Colgate, 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 ...

Pwc

Data Engineer - Manager

Milwaukee, WI · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Pwc

Data Engineer - Senior Manager

Milwaukee, WI

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Accenture

Digital Product Design Senior Manager

Milwaukee, WI · On-site +1

$124K - $164K/yr

With more than 45,000 AI and data professionals across the company, our AI & Data practice brings ... Experience with the following programming languages: Python, C++, Java, R, SQL * Strong written ...

Pwc

Data Engineer - Senior Associate

Milwaukee, WI

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Artisan Partners

Data Platform Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

Artisan Partners is seeking a Data Platform Engineer to join our Data Platform Systems team. This ... Apply AI thoughtfully to accelerate work while maintaining the judgment, review, and risk controls ...

Artisan Partners

Data Platform Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Artisan Partners is seeking a Data Platform Engineer to join our Data Platform Systems team. This ... Apply AI thoughtfully to accelerate work while maintaining the judgment, review, and risk controls ...

Accenture

Google Data Specialist

Milwaukee, WI · On-site

$70K - $196K/yr

Learn and apply GCP Data & AI best practices across architectural patterns, engineering standards, and AI frameworks. * Collaborate closely with senior data engineers, ML engineers, and architects.

Deloitte

Senior AI Engineer - SFL Scientific

Milwaukee, WI

$103K - $141K/yr

Imagine joining an acclaimed team where career paths span from account executives and data scientists to AI strategists, machine learning specialists, and data engineers. SFL Scientific, a Deloitte ...

Bespoke Labs

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Pwc

Data Engineer - Manager

Milwaukee, WI

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

Rite-Hite Company

Sr AI Application Developer

Milwaukee, WI · On-site

$94K - $130K/yr

Implement guardrails for AI systems including prompt safety, data protection, hallucination ... Mentor and upskill existing developers on AI concepts, patterns, and best practices. Required ...

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All JobsAi Data Developer JobsAi Data Developer Jobs in Colgate, WI

Ai Data Developer information

See Colgate, WI salary details

$16

$57

$81

How much do ai data developer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for ai data developer in Colgate, WI is $57.11, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $67.64 per hour, depending on experience, location, and employer.

What is the difference between Ai Data Developer vs Data Scientist?

AspectAi Data DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, integrates AI solutions into applicationsAnalyzes data, builds predictive models, interprets data trends
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and AI, Ai Data Developers focus on creating and deploying AI models within applications, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but differ mainly in their primary focus and application environment.

What job categories do people searching Ai Data Developer jobs in Colgate, WI look for? The top searched job categories for Ai Data Developer jobs in Colgate, WI are:
What cities near Colgate, WI are hiring for Ai Data Developer jobs? Cities near Colgate, WI with the most Ai Data Developer job openings:
Ai Data Developer jobs near you
Infographic showing various Ai Data Developer job openings in Colgate, WI as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $118,791 per year, or $57.1 per hour.

Senior AI Context Engineer

Kiongroup

Wauwatosa, WI • Hybrid

$134K - $179K/yr

Other

Posted 23 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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