Solution Engineer Jobs in USA with Visa Sponsorship
Solution engineers bridge technical and sales functions, requiring strong communication skills alongside technical expertise. These roles typically qualify for H-1B visa, E-3 visa, and TN visa sponsorship when they require a bachelor's degree in engineering, computer science, or related technical field. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsAbout Monster Energy:
Forget about blending in. That's not our style. We're the risk takers, the trailblazers, the gamechangers. We're not perfect and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. Our drive is just like our athletes, unrivaled. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us.
A Day in the Life:
In the position of Sr. AI Solution Engineer, you will lead the AI SWAT team's embedded engagements with business units, owning the path from opportunity to production artificial intelligence (AI) agent and the business results that follow. Rotating across Sales, Accounting/Finance, Marketing, Legal/HR, and Supply Chain/Operations, set the technical approach for each engagement, design and build the most complex solutions using Microsoft Copilot Studio, Microsoft Foundry, OpenAI and Claude models, Agentforce, and Microsoft Fabric data, and decide when to configure, build, or buy. Mentor and review the work of the AI Engineer, partner with the AI Architect and AI Data Engineer on reusable patterns, and report value realized to business leaders and the AI Steering Committee.
The Impact You'll Make:
- Engagement Leadership & Use-Case Portfolio — Lead embedded engagements with business-unit leaders; run discovery, ride-alongs, process mapping, and value sizing; own a prioritized portfolio of AI use cases per business unit with baselines, target key performance indicators (KPIs), and business cases.
- Solution Design & Technical Approach — Set the technical approach for each solution: choose the platform (Microsoft Copilot / Copilot Studio, Microsoft Foundry / Azure OpenAI, Salesforce Agentforce, SAP Joule) and model (e.g., OpenAI GPT-5.6, Claude Sonnet 5.5 or Opus 5.5), design multi-step and multi-agent workflows with human-in-the-loop controls, and make configure-build-buy recommendations within the AI Architect's standards.
- Build Complex Production Agents — Personally build and ship the most complex agents and automations, including custom code with OpenAI / Azure OpenAI and Claude tool calling, agent frameworks, Model Context Protocol (MCP) tools across Salesforce and SAP, retrieval over Microsoft Fabric and SharePoint content, and Continuous Integration / Continuous Delivery (CI/CD); use Cursor or Claude Code to accelerate delivery.
- Evaluation Strategy & Production Readiness — Define evaluation strategy and acceptance criteria (accuracy, groundedness, safety, cost per task); approve production readiness; lead Responsible AI (RAI), security, privacy, and legal reviews for team solutions.
- Mentorship & Quality Review — Mentor the AI Engineer; review prompts, code, flows, and evaluation results; set team delivery standards, estimates, and engagement playbooks.
- Executive Communication & Value Realization — Present solution designs, trade-offs, and results to directors and vice presidents; track and report value realized (hours returned, cycle time, quality, adoption, cost) in Power BI to business leaders and the AI Steering Committee.
- Adoption & Change Leadership — Lead adoption and workflow redesign with process owners; plan rollout, training, and support handoff so solutions are sustained in steady-state operations.
- Pattern Contribution & Platform Feedback — Turn proven solutions into reusable agent templates, prompt libraries, MCP tools, and workflow templates; bring platform and data requirements to the AI Architect and AI Data Engineer and help shape team standards.
Who You Are:
- Prefer a Bachelor's Degree in the field of Computer Science, Information Systems, Artificial Intelligence, or related; Master's degree (MS) in a related field preferred.
- 3-5 years of experience in building AI-enabled apps, enterprise automations, or business-facing software in solutions engineering or development roles.
- 1-3 years of experience in leading delivery of production generative AI solutions (copilots, agents, LLM-powered workflows) end to end, including stakeholder ownership, evaluation, and responsible AI review.
- Computer Skills Desired: AI platforms: Microsoft Copilot / Graph / Copilot Studio, Microsoft Foundry / Azure OpenAI, Salesforce Agentforce; familiarity with SAP Joule.
- Additional Knowledge or Skills to be Successful in this role: Trusted advisor to business leaders who can lead an engagement independently; strong facilitation, storytelling, and executive presence; product mindset focused on adoption and measurable outcomes; coaches the AI Engineer and raises team quality.
- Models: OpenAI GPT-5.6 / GPT-6, Anthropic Claude Opus 5.5 / Sonnet 5.5 / Haiku 5.5, Google Gemini 3.1 Pro; OpenAI and Claude tool calling, Model Context Protocol (MCP), RAG, prompt and context engineering.
- Agent frameworks: LangChain, Semantic Kernel, or equivalent.
- Integration / automation: Power Platform / Power Automate, MuleSoft / Workato, Salesforce Flow; Zapier for quick pilots.
- Data: Microsoft Fabric, Power BI, SQL.
- Languages: TypeScript/JavaScript and Python.
- DevOps / collaboration: Git, CI/CD, Cursor or Claude Code, work tracking (Azure DevOps / Jira), documentation (Confluence / SharePoint).
- Telemetry: Application Insights / Log Analytics or equivalent; Copilot Studio and Foundry evaluations.
- Preferred Certifications: Microsoft AI-103: Developing AI Apps and Agents on Azure (replaces the retired AI-102 / Azure AI Engineer Associate).
- Microsoft Power Platform Developer Associate.
- Salesforce Platform Developer I or Agentforce Specialist (for Sales-heavy rotations).
- Workato / MuleSoft integration certification; Responsible AI / governance training aligned to internal standards.
Monster Energy uses AI-powered tools, including Greenhouse's Talent Matching feature, to help evaluate applications for this role. To learn more see Monster's privacy policy here Privacy Policy or contact Monster at privacy@monsterenergy.com.
For United States applicants:
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Read our privacy policy here: Privacy Policy
About Monster Energy:
Forget about blending in. That's not our style. We're the risk takers, the trailblazers, the gamechangers. We're not perfect and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. Our drive is just like our athletes, unrivaled. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us.
A Day in the Life:
In the position of Sr. AI Solution Engineer, you will lead the AI SWAT team's embedded engagements with business units, owning the path from opportunity to production artificial intelligence (AI) agent and the business results that follow. Rotating across Sales, Accounting/Finance, Marketing, Legal/HR, and Supply Chain/Operations, set the technical approach for each engagement, design and build the most complex solutions using Microsoft Copilot Studio, Microsoft Foundry, OpenAI and Claude models, Agentforce, and Microsoft Fabric data, and decide when to configure, build, or buy. Mentor and review the work of the AI Engineer, partner with the AI Architect and AI Data Engineer on reusable patterns, and report value realized to business leaders and the AI Steering Committee.
The Impact You'll Make:
- Engagement Leadership & Use-Case Portfolio — Lead embedded engagements with business-unit leaders; run discovery, ride-alongs, process mapping, and value sizing; own a prioritized portfolio of AI use cases per business unit with baselines, target key performance indicators (KPIs), and business cases.
- Solution Design & Technical Approach — Set the technical approach for each solution: choose the platform (Microsoft Copilot / Copilot Studio, Microsoft Foundry / Azure OpenAI, Salesforce Agentforce, SAP Joule) and model (e.g., OpenAI GPT-5.6, Claude Sonnet 5.5 or Opus 5.5), design multi-step and multi-agent workflows with human-in-the-loop controls, and make configure-build-buy recommendations within the AI Architect's standards.
- Build Complex Production Agents — Personally build and ship the most complex agents and automations, including custom code with OpenAI / Azure OpenAI and Claude tool calling, agent frameworks, Model Context Protocol (MCP) tools across Salesforce and SAP, retrieval over Microsoft Fabric and SharePoint content, and Continuous Integration / Continuous Delivery (CI/CD); use Cursor or Claude Code to accelerate delivery.
- Evaluation Strategy & Production Readiness — Define evaluation strategy and acceptance criteria (accuracy, groundedness, safety, cost per task); approve production readiness; lead Responsible AI (RAI), security, privacy, and legal reviews for team solutions.
- Mentorship & Quality Review — Mentor the AI Engineer; review prompts, code, flows, and evaluation results; set team delivery standards, estimates, and engagement playbooks.
- Executive Communication & Value Realization — Present solution designs, trade-offs, and results to directors and vice presidents; track and report value realized (hours returned, cycle time, quality, adoption, cost) in Power BI to business leaders and the AI Steering Committee.
- Adoption & Change Leadership — Lead adoption and workflow redesign with process owners; plan rollout, training, and support handoff so solutions are sustained in steady-state operations.
- Pattern Contribution & Platform Feedback — Turn proven solutions into reusable agent templates, prompt libraries, MCP tools, and workflow templates; bring platform and data requirements to the AI Architect and AI Data Engineer and help shape team standards.
Who You Are:
- Prefer a Bachelor's Degree in the field of Computer Science, Information Systems, Artificial Intelligence, or related; Master's degree (MS) in a related field preferred.
- 3-5 years of experience in building AI-enabled apps, enterprise automations, or business-facing software in solutions engineering or development roles.
- 1-3 years of experience in leading delivery of production generative AI solutions (copilots, agents, LLM-powered workflows) end to end, including stakeholder ownership, evaluation, and responsible AI review.
- Computer Skills Desired: AI platforms: Microsoft Copilot / Graph / Copilot Studio, Microsoft Foundry / Azure OpenAI, Salesforce Agentforce; familiarity with SAP Joule.
- Additional Knowledge or Skills to be Successful in this role: Trusted advisor to business leaders who can lead an engagement independently; strong facilitation, storytelling, and executive presence; product mindset focused on adoption and measurable outcomes; coaches the AI Engineer and raises team quality.
- Models: OpenAI GPT-5.6 / GPT-6, Anthropic Claude Opus 5.5 / Sonnet 5.5 / Haiku 5.5, Google Gemini 3.1 Pro; OpenAI and Claude tool calling, Model Context Protocol (MCP), RAG, prompt and context engineering.
- Agent frameworks: LangChain, Semantic Kernel, or equivalent.
- Integration / automation: Power Platform / Power Automate, MuleSoft / Workato, Salesforce Flow; Zapier for quick pilots.
- Data: Microsoft Fabric, Power BI, SQL.
- Languages: TypeScript/JavaScript and Python.
- DevOps / collaboration: Git, CI/CD, Cursor or Claude Code, work tracking (Azure DevOps / Jira), documentation (Confluence / SharePoint).
- Telemetry: Application Insights / Log Analytics or equivalent; Copilot Studio and Foundry evaluations.
- Preferred Certifications: Microsoft AI-103: Developing AI Apps and Agents on Azure (replaces the retired AI-102 / Azure AI Engineer Associate).
- Microsoft Power Platform Developer Associate.
- Salesforce Platform Developer I or Agentforce Specialist (for Sales-heavy rotations).
- Workato / MuleSoft integration certification; Responsible AI / governance training aligned to internal standards.
Monster Energy uses AI-powered tools, including Greenhouse's Talent Matching feature, to help evaluate applications for this role. To learn more see Monster's privacy policy here Privacy Policy or contact Monster at privacy@monsterenergy.com.
For United States applicants:
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Read our privacy policy here: Privacy Policy
See all 105+ Solution Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Solution Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Solution Engineer
Position as a technical specialist role
Emphasize the engineering aspects of solution engineering. Highlight requirements for technical architecture, system design, and integration work to demonstrate specialty occupation status for visa petitions.
Document your technical degree alignment
Solution engineer roles work best with engineering, computer science, or technical degrees. If your degree differs, prepare to show how technical coursework relates directly to solution design.
Target companies with established visa programs
Large tech companies, enterprise software providers, and consulting firms regularly sponsor solution engineers. They understand the role's technical requirements and have streamlined visa processes for technical positions.
Prepare for nonimmigrant intent challenges
Solution engineering combines technical and business skills, making green card pathways attractive. Be ready to address nonimmigrant intent concerns, especially for visa renewals and consular interviews.
Highlight customer-facing technical expertise
USCIS recognizes solution engineering as requiring specialized knowledge when you demonstrate complex technical problem-solving for enterprise clients. Focus on architecture design and system integration skills in applications.
Consider TN visa if you're Canadian or Mexican
Solution engineer roles can qualify under TN 'Engineer' category with proper engineering degree. This avoids H-1B lottery complexity and offers faster processing for qualifying applicants.
Frequently Asked Questions
Do solution engineer roles qualify for H-1B sponsorship?
Yes, when the role requires a bachelor's degree in engineering, computer science, or related technical field. USCIS typically approves solution engineer H-1B visa petitions that emphasize technical architecture, system design, and complex problem-solving rather than general sales activities. The key is demonstrating specialty occupation requirements through technical degree alignment.
What degree do I need for visa sponsorship as a solution engineer?
Engineering, computer science, information systems, or related technical degrees work best. Some solution engineer roles accept broader business degrees, but these face higher scrutiny for visa petitions. USCIS looks for direct alignment between your degree field and the technical requirements of solution architecture and system integration work.
Which companies sponsor visas for solution engineers?
Enterprise software companies, cloud providers, consulting firms, and large tech companies regularly sponsor solution engineers. Companies like Salesforce, Microsoft, Oracle, and major consulting firms have established visa programs. Look for employers with dedicated technical sales teams who understand solution engineering's specialized knowledge requirements.
Can solution engineers get TN visa sponsorship?
Yes, if you're Canadian or Mexican with an engineering degree. TN visa 'Engineer' category covers solution engineering roles that involve technical system design and architecture. The position must require engineering knowledge and your degree must be in engineering or closely related field. This avoids H-1B lottery complications.
What are common visa denial reasons for solution engineers?
Job descriptions that emphasize sales over technical work, degree misalignment with technical requirements, or unclear specialty occupation justification. USCIS may question whether the role truly requires specialized knowledge if it appears primarily sales-focused. Ensure your petition emphasizes technical architecture, system integration, and complex problem-solving aspects of solution engineering.
How to find Solution Engineer jobs with visa sponsorship?
To find Solution Engineer positions with visa sponsorship, use Migrate Mate, which specializes in connecting international professionals with sponsoring employers. Focus on tech companies, SaaS providers, and enterprise software firms that commonly sponsor H-1B, O-1 visa, and other work visas for technical roles. Solution Engineers are in high demand at companies needing technical sales support and customer implementation expertise.
What is the prevailing wage requirement for sponsored Solution Engineer 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.