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Ai Data Developer Jobs in Northbrook, IL (NOW HIRING)

AI Data Solutions Architect

Lincolnshire, IL · On-site

$67 - $86.25/hr

This individual will work closely with engineering, analytics, and business teams to translate ... Design and implement data architectures to support AI and machine learning use cases, including ...

Data & AI Architect

Elmhurst, IL

$63.50 - $81.75/hr

In collaboration with Head of Enterprise Architecture, Data Engineering and BI to develop and execute AI & Data Strategy, in ensuring technical goals align with broader business objectives. * Roadmap ...

Data & AI Architect

Elmhurst, IL

$63.50 - $81.75/hr

In collaboration with Head of Enterprise Architecture, Data Engineering and BI to develop and execute AI & Data Strategy, in ensuring technical goals align with broader business objectives. Roadmap ...

You'll partner with business stakeholders, engineering, data, and AI teams to define product roadmaps, prioritize backlogs, and deliver high-impact data solutions. Key Responsibilities * Own the ...

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Data Engineer (AI & Data Platforms) The Hartford seeks a driven, team-focused Data Engineer to build and support data pipelines, cloud-based data platforms, and Machine Learning Operations (MLOps ...

Solution Architect - AI & Data

Chicago, IL · On-site

$65 - $85.50/hr

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer ... Solution Architect - AI & Data, Expert Services As part of the Expert Services AI Practice, the ...

Solution Architect - AI & Data

Chicago, IL · On-site +1

$65 - $85.50/hr

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer ... Solution Architect - AI & Data, Expert Services As part of the Expert Services AI Practice, the ...

Work You'll Do As a Lead AI and Data Science Engineer II on the team, you will be responsible for: * Lead the design, development, testing, and deployment of machine learning and artificial ...

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Ai Data Developer information

See Northbrook, IL salary details

$16

$57

$82

How much do ai data developer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for ai data developer in Northbrook, IL is $57.66, according to ZipRecruiter salary data. Most workers in this role earn between $47.36 and $68.32 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 are popular job titles related to Ai Data Developer jobs in Northbrook, IL? For Ai Data Developer jobs in Northbrook, IL, the most frequently searched job titles are:
What cities near Northbrook, IL are hiring for Ai Data Developer jobs? Cities near Northbrook, IL with the most Ai Data Developer job openings:

AI Data Solutions Architect

Spruce Infotech

Lincolnshire, IL • On-site

$67 - $86.25/hr

Contractor

This job post has expired today. Applications are no longer accepted.


Job description

This role is responsible for designing and supporting the data architecture that enables AI and machine learning initiatives across the organization. The ideal candidate will bring a strong blend of data architecture, cloud and data engineering, and AI enablement experience, ensuring that data is structured, accessible, and optimized for AI-driven use cases. This individual will work closely with engineering, analytics, and business teams to translate requirements into scalable data solutions.
Key Responsibilities
  • Design and implement data architectures to support AI and machine learning use cases, including data lake, warehouse, and feature stores
  • Develop data models, pipelines, and integration patterns across structured and unstructured data sources (e.g. Snowflake, Postgres, Azure, BigQuery, etc.) for consumption by AI/ML.
  • Design and implemented integration patterns that connect structured and unstructured data sources (Snowflake, Salesforce, SharePoint, PDFs, APIs) into unified, AI-ready datasets.
  • Define standards for real-time and batch data ingestion, transformation, storage, and access
  • Collaborate with engineering and AI teams to ensure data readiness for model development and deployment
  • Support data governance practices, including data quality, lineage, and access controls
  • Evaluate and recommend tools and technologies to support AI data workflows (e.g., data platforms, vector stores)
  • Document architecture patterns and provide guidance to technical and business stakeholders

Required Skills & Experience
  • 7+ years of experience in data architecture, data engineering, or related roles
  • Strong experience with cloud-based data platforms (e.g., Snowflake, BigQuery, or similar)
  • Proficiency in SQL and familiarity with Python or similar scripting languages
  • Experience designing data models and building ETL/ELT pipelines
  • Understanding of data requirements for AI/ML use cases (e.g., feature engineering, unstructured data)
  • Strong communication skills and ability to work across technical and business teams

Preferred Skills & Experience
  • Experience supporting AI/ML or GenAI initiatives
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Exposure to vector databases, RAG pipelines, or AI data frameworks
  • Experience with data governance, cataloging, or lineage tools