Enterprise Solutions Architect Visa Sponsorship Jobs in Illinois
Enterprise solutions architect visa sponsorship jobs in Illinois are concentrated in Chicago's technology and financial services sectors, with major employers like Motorola Solutions, Allstate, United Airlines, and Discover Financial actively hiring. The Chicago metropolitan area anchors most sponsorship activity, drawing candidates into roles that bridge enterprise IT strategy with complex business transformation.
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Get Access To All JobsINTRODUCTION
Cullerton Group has a new opportunity for a Solutions Architect 5 – Enterprise AI & Generative AI Architect in Peoria, Illinois, or Irving, Texas. The work will be performed 100% onsite, five days per week, with no remote or hybrid options. This is a 12-month position that can lead to permanent employment with our client. Compensation is $112/hr W-2 plus full benefits (vision, dental, health insurance, 401k, and holiday pay).
JOB SUMMARY
The Solutions Architect 5 will support the design and development of enterprise Artificial Intelligence (AI), Generative AI, and data-driven solutions across complex cloud and on-premises environments. This role focuses on collaborating with business stakeholders, enterprise architects, and technical development teams to identify business needs, define AI use cases, and translate requirements into scalable solution architectures. The architect will evaluate technologies, integration patterns, and architectural tradeoffs while providing technical guidance, reference implementations, and implementation recommendations. The ideal candidate will have extensive enterprise solution architecture experience, strong knowledge of modern AI technologies such as Retrieval-Augmented Generation (RAG) and agentic AI, and the ability to bridge business requirements with practical technical solutions.
KEY RESPONSIBILITIES
- Lead and participate in business discovery sessions, collaborating with stakeholders to identify objectives, pain points, functional requirements, constraints, and opportunities for enterprise AI and Generative AI solutions.
- Design and recommend scalable enterprise AI solution architectures, including RAG, vector search, enterprise search, prompt orchestration, agentic AI, multi-agent workflows, and model integration patterns.
- Evaluate cloud, on-premises, and hybrid architecture options, including APIs, microservices, containerized applications, distributed computing platforms, and enterprise identity/security integration.
- Provide architectural guidance to internal development teams, including implementation planning, solution feasibility analysis, technical tradeoff evaluations, reference implementations, and lightweight prototypes.
- Collaborate with enterprise architects, data scientists, machine learning engineers, application developers, and business stakeholders to create architecture documentation, reusable design patterns, technical recommendations, and implementation roadmaps.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, Computer Engineering, or a closely related technical discipline.
- 10+ years of relevant professional experience in enterprise solution architecture, AI architecture, software architecture, or closely related technical roles.
- Proven experience designing and implementing enterprise AI and Generative AI solutions, including model integration patterns, enterprise AI platforms, and production architecture considerations.
- Strong understanding of modern AI solution approaches, including Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), vector-based search, enterprise search, prompt orchestration, agentic AI, and multi-agent workflows.
- Demonstrated experience conducting business discovery sessions, gathering business and functional requirements, and translating requirements into scalable solution architecture recommendations.
- Experience designing enterprise solutions across cloud, on-premises, or hybrid environments, using platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP).
- Strong knowledge of APIs, microservices, cloud-native architectures, containerized workloads, distributed computing, and enterprise identity/security integration.
- Experience guiding internal development teams through solution design, implementation planning, architecture reviews, and technical decision-making.
- Ability to create reference implementations, lightweight prototypes, and technical demonstrations to validate or communicate proposed architecture approaches.
- Working knowledge of Python, JavaScript/TypeScript, REST APIs, SDKs, notebooks, and containerized application patterns sufficient to evaluate technical approaches and guide development teams.
- Experience documenting architecture designs, solution assumptions, dependencies, implementation considerations, and technical recommendations.
- Strong analytical thinking, technical problem-solving, communication, facilitation, and cross-functional collaboration skills.
- Ability to communicate complex technical concepts to both business stakeholders and engineering teams.
- Ability to work 100% onsite in Peoria, IL, or Irving, TX, five days per week, starting Day 1.
PREFERRED QUALIFICATIONS
- Experience with enterprise AI platforms and services such as Azure OpenAI, Amazon Bedrock, Google Vertex AI, Microsoft Foundry, or Accenture AI Refinery.
- Experience with AI development frameworks and orchestration technologies such as LangChain, LangGraph, GraphRAG, and agentic AI frameworks.
- Familiarity with Model Context Protocol (MCP) servers, agent skills, agent harness patterns, and multi-agent orchestration architectures.
- Experience with enterprise data and AI platforms such as Snowflake or Dataiku.
- Experience with Kubernetes, Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (EKS), or comparable enterprise container orchestration environments.
- Experience creating reusable enterprise AI architecture patterns, reference implementations, solution accelerators, or technical frameworks.
- Familiarity with enterprise AI governance, security considerations, model integration, and scalable production deployment practices.
- Experience evaluating AI solution feasibility, technical dependencies, architecture tradeoffs, and integration requirements.
- Cloud certifications in AWS, Microsoft Azure, or Google Cloud Platform.
- Previous experience supporting enterprise-scale AI transformation, industrial technology, manufacturing, or globally distributed engineering organizations.
WHY THIS ROLE?
This position offers an opportunity to shape enterprise AI and Generative AI solutions supporting a global leader in heavy machinery and manufacturing. You will collaborate with business leaders, enterprise architects, and technical teams to define innovative AI use cases, design scalable architectures, and guide the adoption of emerging technologies such as RAG, agentic AI, and cloud-based AI platforms. Cullerton Group provides a professional environment with growth potential, comprehensive benefits, and opportunities to develop specialized expertise in enterprise AI architecture and digital transformation.
INTRODUCTION
Cullerton Group has a new opportunity for a Solutions Architect 5 – Enterprise AI & Generative AI Architect in Peoria, Illinois, or Irving, Texas. The work will be performed 100% onsite, five days per week, with no remote or hybrid options. This is a 12-month position that can lead to permanent employment with our client. Compensation is $112/hr W-2 plus full benefits (vision, dental, health insurance, 401k, and holiday pay).
JOB SUMMARY
The Solutions Architect 5 will support the design and development of enterprise Artificial Intelligence (AI), Generative AI, and data-driven solutions across complex cloud and on-premises environments. This role focuses on collaborating with business stakeholders, enterprise architects, and technical development teams to identify business needs, define AI use cases, and translate requirements into scalable solution architectures. The architect will evaluate technologies, integration patterns, and architectural tradeoffs while providing technical guidance, reference implementations, and implementation recommendations. The ideal candidate will have extensive enterprise solution architecture experience, strong knowledge of modern AI technologies such as Retrieval-Augmented Generation (RAG) and agentic AI, and the ability to bridge business requirements with practical technical solutions.
KEY RESPONSIBILITIES
- Lead and participate in business discovery sessions, collaborating with stakeholders to identify objectives, pain points, functional requirements, constraints, and opportunities for enterprise AI and Generative AI solutions.
- Design and recommend scalable enterprise AI solution architectures, including RAG, vector search, enterprise search, prompt orchestration, agentic AI, multi-agent workflows, and model integration patterns.
- Evaluate cloud, on-premises, and hybrid architecture options, including APIs, microservices, containerized applications, distributed computing platforms, and enterprise identity/security integration.
- Provide architectural guidance to internal development teams, including implementation planning, solution feasibility analysis, technical tradeoff evaluations, reference implementations, and lightweight prototypes.
- Collaborate with enterprise architects, data scientists, machine learning engineers, application developers, and business stakeholders to create architecture documentation, reusable design patterns, technical recommendations, and implementation roadmaps.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, Computer Engineering, or a closely related technical discipline.
- 10+ years of relevant professional experience in enterprise solution architecture, AI architecture, software architecture, or closely related technical roles.
- Proven experience designing and implementing enterprise AI and Generative AI solutions, including model integration patterns, enterprise AI platforms, and production architecture considerations.
- Strong understanding of modern AI solution approaches, including Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), vector-based search, enterprise search, prompt orchestration, agentic AI, and multi-agent workflows.
- Demonstrated experience conducting business discovery sessions, gathering business and functional requirements, and translating requirements into scalable solution architecture recommendations.
- Experience designing enterprise solutions across cloud, on-premises, or hybrid environments, using platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP).
- Strong knowledge of APIs, microservices, cloud-native architectures, containerized workloads, distributed computing, and enterprise identity/security integration.
- Experience guiding internal development teams through solution design, implementation planning, architecture reviews, and technical decision-making.
- Ability to create reference implementations, lightweight prototypes, and technical demonstrations to validate or communicate proposed architecture approaches.
- Working knowledge of Python, JavaScript/TypeScript, REST APIs, SDKs, notebooks, and containerized application patterns sufficient to evaluate technical approaches and guide development teams.
- Experience documenting architecture designs, solution assumptions, dependencies, implementation considerations, and technical recommendations.
- Strong analytical thinking, technical problem-solving, communication, facilitation, and cross-functional collaboration skills.
- Ability to communicate complex technical concepts to both business stakeholders and engineering teams.
- Ability to work 100% onsite in Peoria, IL, or Irving, TX, five days per week, starting Day 1.
PREFERRED QUALIFICATIONS
- Experience with enterprise AI platforms and services such as Azure OpenAI, Amazon Bedrock, Google Vertex AI, Microsoft Foundry, or Accenture AI Refinery.
- Experience with AI development frameworks and orchestration technologies such as LangChain, LangGraph, GraphRAG, and agentic AI frameworks.
- Familiarity with Model Context Protocol (MCP) servers, agent skills, agent harness patterns, and multi-agent orchestration architectures.
- Experience with enterprise data and AI platforms such as Snowflake or Dataiku.
- Experience with Kubernetes, Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (EKS), or comparable enterprise container orchestration environments.
- Experience creating reusable enterprise AI architecture patterns, reference implementations, solution accelerators, or technical frameworks.
- Familiarity with enterprise AI governance, security considerations, model integration, and scalable production deployment practices.
- Experience evaluating AI solution feasibility, technical dependencies, architecture tradeoffs, and integration requirements.
- Cloud certifications in AWS, Microsoft Azure, or Google Cloud Platform.
- Previous experience supporting enterprise-scale AI transformation, industrial technology, manufacturing, or globally distributed engineering organizations.
WHY THIS ROLE?
This position offers an opportunity to shape enterprise AI and Generative AI solutions supporting a global leader in heavy machinery and manufacturing. You will collaborate with business leaders, enterprise architects, and technical teams to define innovative AI use cases, design scalable architectures, and guide the adoption of emerging technologies such as RAG, agentic AI, and cloud-based AI platforms. Cullerton Group provides a professional environment with growth potential, comprehensive benefits, and opportunities to develop specialized expertise in enterprise AI architecture and digital transformation.
Enterprise Solutions Architect Job Roles in Illinois
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Search Enterprise Solutions Architect Jobs in IllinoisEnterprise Solutions Architect Jobs in Illinois: Frequently Asked Questions
Which companies in Illinois sponsor visas for enterprise solutions architects?
Illinois employers with consistent H-1B visa sponsorship history for enterprise solutions architects include Motorola Solutions, Allstate Insurance, Discover Financial Services, United Airlines, Walgreens Boots Alliance, and large consulting firms such as Accenture and Deloitte with Chicago delivery centers. Technology vendors and financial institutions headquartered in the Chicago metro tend to file the highest volumes of specialty occupation petitions for architecture-level IT roles.
Which visa types realistically apply to enterprise solutions architect roles in Illinois?
Enterprise solutions architect positions qualify as specialty occupations requiring at least a bachelor's degree in computer science, information systems, or a closely related engineering field, making H-1B the primary pathway. Australian nationals may pursue the E-3 visa, and Chilean or Singaporean nationals can use the H-1B1 visa. F-1 graduates with STEM-designated degrees may bridge through OPT or STEM OPT while an employer pursues H-1B sponsorship. EB-2 and EB-3 employment-based green cards are also available for longer-term permanent residence.
How to find enterprise solutions architect visa sponsorship jobs in Illinois?
Migrate Mate lists Illinois employers with verified sponsorship history for enterprise solutions architect roles, letting you search specifically within the Chicago metro and other Illinois markets without sifting through unsponsored postings. Because the platform surfaces employers based on actual LCA filing records, you can prioritize companies that have demonstrated willingness to sponsor rather than relying on job descriptions that may omit sponsorship details.
Which Illinois cities have the most enterprise solutions architect sponsorship jobs?
Chicago accounts for the overwhelming majority of enterprise solutions architect sponsorship activity in Illinois, particularly in the Loop, River North, and suburban corridors such as Schaumburg and Downers Grove where technology campuses and corporate headquarters cluster. Peoria and Rockford have smaller but active markets tied to manufacturing technology and healthcare IT employers, though Chicago remains the dominant hub by a substantial margin for architecture-level IT sponsorship.
Are there any Illinois-specific considerations for enterprise solutions architects seeking visa sponsorship?
Illinois's concentration of insurance, financial services, and logistics companies creates sustained demand for enterprise solutions architects who can integrate large-scale platforms across hybrid cloud environments. The University of Illinois and Northwestern University produce graduate pipelines that some Chicago employers tap for F-1 OPT hires before transitioning to H-1B sponsorship. Illinois has no state-level employment restrictions specific to visa status, so sponsorship decisions rest entirely with the employer and federal USCIS requirements.
What is the prevailing wage for sponsored enterprise solutions architect jobs in Illinois?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.