Enterprise Solutions Jobs in USA with Visa Sponsorship
Enterprise Solutions roles, covering presales, implementation, and solution architecture, qualify as specialty occupations under the H-1B visa, E-3 visa, and TN visas when the position requires a directly related bachelor's degree. Employers in this space routinely file LCAs and sponsor green cards through PERM, making it a strong market for international candidates. For detailed occupation requirements, see the O*NET profile.
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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.
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Get Access To All JobsTips for Finding Enterprise Solutions Jobs
Frame your degree as directly related
Enterprise Solutions roles often blend business and technology, so USCIS scrutinizes whether your degree is specific enough. A computer science or information systems degree maps cleanly; a general business degree needs supporting course transcripts showing technical depth to survive an RFE.
Target companies with active LCA filing history
Use Migrate Mate to search Enterprise Solutions roles by employers with verified LCA filing history. This filters out companies that express interest in sponsorship but have never actually filed, saving you from late-stage surprises after a lengthy interview process.
Verify prevailing wage tier before negotiating
Enterprise Solutions titles often span wage Levels II through IV depending on scope. Run your target job title and work location through the OFLC Wage Search before salary discussions so you know the LCA-certified floor your employer must meet and can negotiate from an informed position.
Clarify presales versus implementation sponsorship norms
Presales roles that involve significant travel across client sites complicate LCA worksite requirements. Ask hiring managers early whether the position is classified as a fixed-location or itinerant role, since multi-site work requires either blanket LCA coverage or amended filings each time you work at a new client location.
Align your offer letter scope with the LCA job description
Enterprise Solutions job descriptions frequently evolve between offer and LCA filing. If your offer letter lists duties your employer later narrows on the LCA, USCIS can find a discrepancy during adjudication. Confirm that the final LCA duties match the role you actually accepted in writing.
Start PERM early for solution architect promotions
If you're on H-1B and moving into a senior Enterprise Solutions or solution architect role, a title change can reset your PERM labor certification. Talk to your employer's immigration counsel before accepting a promotion so they can file a new PERM before your existing priority date window closes.
Frequently Asked Questions
Do Enterprise Solutions roles qualify as specialty occupations for H-1B purposes?
Yes, when the position requires at least a bachelor's degree in a directly related field such as computer science, information systems, or business information technology. USCIS evaluates the specific duties, not just the job title. Presales and implementation roles that blend consulting with technical architecture consistently qualify, but generic account management roles that don't require a specific degree may not.
Which visa types can support an Enterprise Solutions role?
H-1B, E-3 (Australian nationals), H-1B1 visa (Chilean and Singaporean nationals), and TN (Canadian and Mexican nationals in qualifying professions such as computer systems analyst or engineer) all cover Enterprise Solutions work. Green card pathways through EB-2 or EB-3 are common for experienced hires. The right visa depends on your nationality, degree, and how the employer classifies the role's duties.
How do I find employers actively sponsoring Enterprise Solutions roles?
Migrate Mate lists employers with verified LCA sponsorship history for Enterprise Solutions and related titles, so you can focus your applications on companies that have already committed to the filing process. This is more reliable than relying on job postings that mention sponsorship without any filing track record behind them.
Does frequent client travel affect my visa status in an Enterprise Solutions role?
It can. H-1B and E-3 status ties your authorized work to the employer location listed on your LCA. If your role requires you to work at client sites beyond what's covered by your LCA, your employer must file either a new or amended LCA. This is a known compliance issue in Enterprise Solutions and presales work, so confirm your employer's approach before you start.
Can I switch employers mid-H-1B in an Enterprise Solutions role?
Yes. Under H-1B portability, you can start working for a new employer in a qualifying Enterprise Solutions role as soon as the new I-129 petition is filed with USCIS, without waiting for approval. The new petition must describe a specialty occupation with a matching degree requirement. You don't need to restart your six-year H-1B clock when transferring to a comparable role.
What is the prevailing wage requirement for sponsored Enterprise Solutions jobs?
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.