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Contract Java Developer C2C Jobs in Gurnee, IL (NOW HIRING)

AI Enterprise Architect

Lincolnshire, IL · On-site

$72.75 - $93.75/hr

Please no C2C or Sponsorship AI Enterprise Architect: Our amazing partner is a leader in outdoor ... Contract one year Key Responsibilities * Define and execute the enterprise AI architecture strategy ...

... Contract Architect Level Experience needed Qualifications Responsibilities: 1.Oracle Entitlements Server 2.Fine Grained Authorizations 3.Entitlements 4.WebServices SM/WebLogic SM . net or java SM 5. ...

... Contract Architect Level Experience needed Qualifications Responsibilities: 1.Oracle Entitlements Server 2.Fine Grained Authorizations 3.Entitlements 4.WebServices SM/WebLogic SM . net or java SM 5. ...

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Contract Java Developer C2C information

See Gurnee, IL salary details

$14

$54

$74

How much do contract java developer c2c jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for contract java developer c2c in Gurnee, IL is $54.42, according to ZipRecruiter salary data. Most workers in this role earn between $47.07 and $60.91 per hour, depending on experience, location, and employer.

What is the difference between Contract Java Developer C2C vs Contract Java Developer W2?

AspectContract Java Developer C2CContract Java Developer W2
Employment TypeIndependent contractor, self-employedEmployee of the staffing agency or company
Tax & BenefitsResponsible for own taxes, no benefits includedTaxes withheld by employer, includes benefits like health insurance
Work EnvironmentTypically remote or client-site, project-basedUsually on-site or hybrid, with more structured hours
Payment StructureInvoicing clients, higher hourly rateSalary or hourly wage, includes payroll taxes

Contract Java Developer C2C and Contract Java Developer W2 differ mainly in employment status, tax responsibilities, and benefits. C2C offers more independence and potentially higher pay but requires managing taxes and benefits independently. W2 provides a more traditional employment setup with benefits and tax withholding. The choice depends on your preference for independence versus stability.

What cities near Gurnee, IL are hiring for Contract Java Developer C2C jobs?

Cities near Gurnee, IL with the most Contract Java Developer C2C job openings:

AI Enterprise Architect

IT Motives

Lincolnshire, IL • On-site

$72.75 - $93.75/hr

Other

Re-posted 19 days ago


Job description

Please no C2C or Sponsorship



AI Enterprise Architect:


Our amazing partner is a leader in outdoor exploration and retail world. They are looking for an AI Enterprise Architect will lead the strategy, architecture, and delivery of enterprise AI capabilities across the organization. This is a hands-on leadership role responsible for designing, implementing, and scaling production AI solutions that deliver measurable business value.

The ideal candidate combines deep technical expertise with strategic thinking and has experience moving AI initiatives from concept to production. This role partners closely with engineering, data, security, cloud, and business leaders to build secure, scalable, and governed AI platforms and applications. We value diversity in the workplace and encourage women, minorities, and veterans to apply. Thank you!


Location: On-site, Lincolnshire, IL

Type: Contract one year


Key Responsibilities

  • Define and execute the enterprise AI architecture strategy and multi-year roadmap.
  • Design scalable architectures for Generative AI, AI agents, machine learning, and intelligent automation.
  • Lead AI initiatives from business requirements through implementation and production deployment.
  • Develop prototypes and reference architectures to validate technical approaches.
  • Establish reusable AI platforms, services, standards, and best practices.
  • Define architecture patterns for LLMs, RAG, AI agents, APIs, integrations, and enterprise data.
  • Partner with engineering teams to ensure AI solutions are secure, scalable, reliable, and production-ready.
  • Establish standards for AI governance, security, observability, evaluation, and operational excellence.
  • Evaluate emerging AI technologies, vendors, and platforms while minimizing technical debt and vendor lock-in.
  • Translate complex technical concepts into business-focused recommendations for executive leadership.
  • Drive adoption of enterprise architecture standards while maintaining a bias toward execution and business outcomes.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).
  • 10+ years of experience in Enterprise, Solution, or Software Architecture.
  • Proven experience designing and delivering production AI, Generative AI, or Machine Learning solutions.
  • Hands-on experience with Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and enterprise AI applications.
  • Strong background in cloud platforms (AWS, Azure, or Google Cloud), APIs, distributed systems, and enterprise integration.
  • Experience with AI platform architecture, data architecture, security, governance, and production operations.
  • Knowledge of LLMOps, MLOps, CI/CD, Infrastructure as Code, and AI lifecycle management.
  • Strong understanding of AI security, responsible AI, and enterprise governance.
  • Excellent communication skills with the ability to influence executives and technical teams.
  • Demonstrated ability to lead AI initiatives from strategy through measurable business outcomes

Preferred Qualifications

  • Experience building enterprise AI platforms or Centers of Excellence.
  • Experience with Azure AI, Amazon Bedrock, Vertex AI, Snowflake, Databricks, or similar platforms.
  • Experience with AI agent frameworks, Model Context Protocol (MCP), and multi-agent architectures.
  • Knowledge of Kubernetes, cloud-native architectures, APIs, and event-driven systems.
  • Experience implementing AI governance, FinOps, observability, and enterprise security controls.
  • Relevant cloud, AI, architecture, or security certifications.

What Success Looks Like

  • AI solutions successfully deployed into production with measurable business impact.
  • Standardized, scalable AI platforms and reusable architecture patterns.
  • Reduced technical complexity and improved governance across AI initiatives.
  • Strong collaboration between business, engineering, data, and security teams.
  • Faster delivery of secure, reliable, and enterprise-ready AI capabilities