AI Solution Architect Jobs in USA with Visa Sponsorship
AI Solution Architect jobs in the U.S. qualify as specialty occupations under H-1B visa, requiring a bachelor's degree or higher in computer science, AI, or a closely related field. Employers file a Labor Condition Application before sponsoring, and roles at large tech consultancies and cloud providers have consistent LCA filing histories. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
Diversified Services Network, Inc. (DSN) is seeking a full-time AI Solution Architect to join our onsite team in your choice of our Peoria, IL or Irving, TX office locations. We offer full benefits, PTO, 401k, and more! If you're looking to grow your career within an extremely reputable, stable Fortune 100 company - let's talk!
Position Overview
The AI Solution Architect works with architects, business stakeholders, and internal development teams to assess needs, evaluate solution options, and define practical approaches for enterprise AI and data use cases, including Generative AI. Operating across hybrid on-premises and cloud environments, this role uses approved enterprise platforms, services, and architectural patterns. The focus is discovery, solution architecture, and implementation guidance rather than hands-on model development or day-to-day application coding.
Key Responsibilities
- Lead discovery sessions with business stakeholders to understand objectives, pain points, constraints, and desired outcomes for proposed use cases.
- Partner with architects and technical teams to shape solution approaches for new and evolving business use cases.
- Translate business and functional requirements into solution concepts, architecture recommendations, and implementation considerations aligned with enterprise standards.
- Assess solution options, tradeoffs, dependencies, and technical feasibility.
- Collaborate with engineers, data scientists, machine learning engineers, and domain experts to refine solution direction and support delivery planning.
- Facilitate alignment between business and technical teams by clarifying scope, assumptions, constraints, and recommended next steps.
- Build reference implementations or lightweight prototypes, when appropriate, to illustrate recommended approaches.
- Evaluate and recommend approved tools, platforms, and solution patterns in line with enterprise architecture and governance standards.
- Document proposed solutions, including architecture views, assumptions, dependencies, design considerations, and recommended implementation approaches.
- Contribute to reusable architecture guidance, design patterns, and solution documentation that support repeatable delivery across similar AI and data use cases.
BASIC QUALIFICATIONS
Required Qualifications
- Bachelor's degree AND 10+ years of experience in solution architecture or a similar capacity.
- Proven experience designing and implementing production enterprise AI and Generative AI solutions, including enterprise AI platforms, model integration patterns, NLP, RAG, vector-based and enterprise search, prompt orchestration, agentic AI, and multi-agent workflows.
- Track record of facilitating stakeholder discovery and requirements gathering for complex technical initiatives.
- Experience designing scalable solutions across on-premises and cloud platforms such as Microsoft Azure, AWS, and/or Google Cloud Platform (GCP), using APIs, microservices, containerized workloads, cloud-native architectures, and enterprise identity/security integration.
- Working knowledge of Python, JavaScript/TypeScript, REST APIs, SDKs, and notebooks, with experience guiding internal development teams through implementation planning and reviewing technical approaches.
- Strong communication, facilitation, and collaboration skills with both business and technical audiences.
PREFERRED QUALIFICATIONS
- Cloud certification (any provider).
- Experience with Azure OpenAI, Amazon Bedrock, Vertex AI, AI Refinery, Microsoft Foundry, LangChain, LangGraph, GraphRAG, Snowflake, Dataiku, Agent Skills/agent harness patterns, MCP servers, or similar enterprise AI and data platforms.
- Experience with Kubernetes or managed container hosting such as AKS or EKS.
- Experience building solution accelerators adopted across multiple teams or business units.
BENEFITS
- 401(k)
- Dental insurance
- Vision Insurance
- Disability insurance
- Employee assistance program
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Paid Holidays
SALARY EXPECTATIONS: $165,000-170,000 annually
INTRODUCTION
Diversified Services Network, Inc. (DSN) is seeking a full-time AI Solution Architect to join our onsite team in your choice of our Peoria, IL or Irving, TX office locations. We offer full benefits, PTO, 401k, and more! If you're looking to grow your career within an extremely reputable, stable Fortune 100 company - let's talk!
Position Overview
The AI Solution Architect works with architects, business stakeholders, and internal development teams to assess needs, evaluate solution options, and define practical approaches for enterprise AI and data use cases, including Generative AI. Operating across hybrid on-premises and cloud environments, this role uses approved enterprise platforms, services, and architectural patterns. The focus is discovery, solution architecture, and implementation guidance rather than hands-on model development or day-to-day application coding.
Key Responsibilities
- Lead discovery sessions with business stakeholders to understand objectives, pain points, constraints, and desired outcomes for proposed use cases.
- Partner with architects and technical teams to shape solution approaches for new and evolving business use cases.
- Translate business and functional requirements into solution concepts, architecture recommendations, and implementation considerations aligned with enterprise standards.
- Assess solution options, tradeoffs, dependencies, and technical feasibility.
- Collaborate with engineers, data scientists, machine learning engineers, and domain experts to refine solution direction and support delivery planning.
- Facilitate alignment between business and technical teams by clarifying scope, assumptions, constraints, and recommended next steps.
- Build reference implementations or lightweight prototypes, when appropriate, to illustrate recommended approaches.
- Evaluate and recommend approved tools, platforms, and solution patterns in line with enterprise architecture and governance standards.
- Document proposed solutions, including architecture views, assumptions, dependencies, design considerations, and recommended implementation approaches.
- Contribute to reusable architecture guidance, design patterns, and solution documentation that support repeatable delivery across similar AI and data use cases.
BASIC QUALIFICATIONS
Required Qualifications
- Bachelor's degree AND 10+ years of experience in solution architecture or a similar capacity.
- Proven experience designing and implementing production enterprise AI and Generative AI solutions, including enterprise AI platforms, model integration patterns, NLP, RAG, vector-based and enterprise search, prompt orchestration, agentic AI, and multi-agent workflows.
- Track record of facilitating stakeholder discovery and requirements gathering for complex technical initiatives.
- Experience designing scalable solutions across on-premises and cloud platforms such as Microsoft Azure, AWS, and/or Google Cloud Platform (GCP), using APIs, microservices, containerized workloads, cloud-native architectures, and enterprise identity/security integration.
- Working knowledge of Python, JavaScript/TypeScript, REST APIs, SDKs, and notebooks, with experience guiding internal development teams through implementation planning and reviewing technical approaches.
- Strong communication, facilitation, and collaboration skills with both business and technical audiences.
PREFERRED QUALIFICATIONS
- Cloud certification (any provider).
- Experience with Azure OpenAI, Amazon Bedrock, Vertex AI, AI Refinery, Microsoft Foundry, LangChain, LangGraph, GraphRAG, Snowflake, Dataiku, Agent Skills/agent harness patterns, MCP servers, or similar enterprise AI and data platforms.
- Experience with Kubernetes or managed container hosting such as AKS or EKS.
- Experience building solution accelerators adopted across multiple teams or business units.
BENEFITS
- 401(k)
- Dental insurance
- Vision Insurance
- Disability insurance
- Employee assistance program
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Paid Holidays
SALARY EXPECTATIONS: $165,000-170,000 annually
See all 14,475+ AI Solution Architect Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Solution Architect roles.
Get Access To All JobsTips for Finding AI Solution Architect Jobs
Align your degree to the role
AI Solution Architect positions require a directly related degree for specialty occupation approval. A degree in computer science, software engineering, or machine learning maps cleanly. A business or general IT degree may trigger an RFE, so gather transcripts and a credential evaluation early.
Target companies with active LCA histories
Use the OFLC Wage Search to verify which employers have certified Labor Condition Applications for solution architect or AI architect roles. Companies filing LCAs consistently are operationally ready to sponsor, meaning shorter internal approval cycles for your offer.
Benchmark your offer against prevailing wage levels
Your employer's LCA must certify your wage at the prevailing wage for the role and work location. Run the OFLC Wage Search for your specific metro area before negotiating. A wage below the certified level invalidates the LCA and stalls your petition.
Use Migrate Mate to find verified sponsors
Identifying employers who have actually filed for AI and solution architect roles separates real opportunities from wishful listings. Migrate Mate surfaces employers with verified LCA sponsorship history for roles matching yours, so you can focus applications where sponsorship has already happened.
Clarify H-1B portability before resigning
If you're already in H-1B status, you can start with a new employer once the new petition is filed with USCIS. You don't need approval before your first day. Confirm your current employer filed all required extensions and that your I-94 is valid before making the move.
Prepare your O*NET profile match documentation
USCIS adjudicators cross-reference job duties against O*NET for specialty occupation determinations. Your offer letter should describe duties that mirror the O*NET task list for software architects or AI specialists, using specific technical language around system design, model deployment, and enterprise integration.
Frequently Asked Questions
Does an AI Solution Architect role qualify as a specialty occupation for H-1B?
Yes. AI Solution Architect positions require theoretical and practical application of highly specialized knowledge, which meets USCIS's specialty occupation definition. The role must require a bachelor's degree or higher in a directly related field such as computer science, artificial intelligence, or software engineering. Generic degrees without a clear connection to AI or systems architecture can trigger a Request for Evidence.
Which visa types support sponsorship for AI Solution Architect jobs?
H-1B is the most common path, covering specialty occupation roles and granting up to three years of initial status, extendable to six. H-1B is subject to an annual cap and selection process, though cap-exempt employers such as universities and nonprofits affiliated with research organizations are excluded. Australian nationals can apply for the E-3 visa, which has a separate cap and no lottery. Canadian and Mexican nationals may qualify under TN visa if the role maps to an eligible USMCA profession.
How do I find employers who actively sponsor AI Solution Architect roles?
Migrate Mate lists employers with verified LCA sponsorship history for roles matching AI Solution Architect, so you can browse companies that have already gone through the sponsorship process for similar positions rather than relying on job postings that don't disclose sponsorship intent upfront.
Does a three-year Australian bachelor's degree satisfy the H-1B specialty occupation requirement?
USCIS generally accepts a three-year Australian bachelor's degree as equivalent to a U.S. four-year degree for specialty occupation purposes, but this is not automatic. A credential evaluation from a recognized organization such as NACES or AICE is essential. The evaluation must confirm the degree is equivalent and that the field of study directly relates to the AI Solution Architect duties in your offer letter.
Can I switch employers while my H-1B petition is pending for an AI Solution Architect role?
If you're already in H-1B status, portability under AC21 lets you start with the new employer once the new petition is filed with USCIS, without waiting for approval. If you're not yet in status, you must wait for USCIS approval before beginning work. The new employer must file a full I-129 petition, including a new LCA certified by DOL for the specific work location and role.
What is the prevailing wage requirement for sponsored AI Solution Architect 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.