Enterprise Sales Engineer Jobs in USA with Visa Sponsorship
Enterprise Sales Engineers need H-1B visa or O-1 visa sponsorship to work in the U.S., and most large tech employers file petitions for this role. A bachelor's degree in engineering, computer science, or a related technical field is typically required to satisfy specialty occupation standards. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
The Enterprise AI Lead is responsible for supporting the development and leading the execution of the organization's Artificial Intelligence (AI) strategy, governance framework, and adoption roadmap. This role serves as the central point of coordination for AI initiatives across the enterprise, partnering with business and IT technical teams to identify opportunities, establish standards, enable responsible AI adoption, and drive measurable business value.
The Enterprise AI Lead collaborates closely with Infrastructure, Cybersecurity, Enterprise Applications, Software Development, Data & Analytics, and key stakeholders to ensure AI capabilities are effectively integrated into organizational processes, technology platforms, and ways of working.
The role focuses on building enterprise AI capabilities, governance, and organizational maturity while enabling technical teams to leverage AI safely, responsibly, and effectively.
Essential Functions and Main Duties
-
AI Strategy & Roadmap: Develop, support, and drive execution of the enterprise AI strategy, roadmap, and adoption plans aligned with business objectives. Evaluate emerging AI technologies, architectures, and industry trends to identify innovation opportunities and recommend enterprise AI technology direction, standards, and implementation approaches.
-
AI Opportunity & Metrics: Identify and prioritize AI opportunities that improve operational efficiency, customer experience, employee productivity, software development effectiveness, and decision-making. Establish success metrics, monitor progress against strategic objectives, and measure business value realization.
-
AI Governance Frameworks, Risk & Compliance: Develop, support, and coordinate enterprise AI governance through the creation of policies, standards, reference architectures, and best practices. Participate in governance reviews, architecture reviews, and technology evaluations for AI-related initiatives. Partner with Cybersecurity, Legal, Compliance, and Risk Management teams to ensure responsible AI adoption while addressing data privacy, security, intellectual property, regulatory compliance, and ethical AI.
-
Enterprise AI Architecture, Standards & Technology Selection: Develop and contribute to enterprise AI architecture, technical standards, and implementation patterns for AI-assisted software development, knowledge management, automation, and business process optimization. Collaborate with Infrastructure, Security, Data, Enterprise Applications, and Software Development teams to build scalable, secure, and maintainable AI platforms. Design, architect, develop, deploy, and continuously improve enterprise AI solutions, including AI applications, AI agents, automation workflows, AI-assisted software capabilities, application-embedded AI features, and integrations using enterprise AI platforms and services. Provide technical leadership throughout the AI solution lifecycle by establishing solution architectures, guiding technical implementation, conducting architecture and design reviews, evaluating technologies, supporting proof-of-concepts and production deployments, and ensuring solutions meet enterprise architecture, security, scalability, maintainability, and business needs.
-
Enterprise Adoption Leadership: Lead enterprise AI adoption initiatives across business and technical organizations. Coach and advise executives, project teams, architects, software engineers, and business stakeholders on AI opportunities, solution architecture, implementation approaches, and enterprise best practices.
-
AI Literacy & Communities: Develop AI training, technical enablement, engineering standards, awareness programs, and Communities of Practice to improve enterprise AI literacy, software engineering effectiveness, and responsible AI usage across business and technical teams.
-
Use Case Management: Facilitate identification, evaluation, and prioritization of enterprise AI use cases. Support business case development, technical feasibility assessments, proof-of-concepts, pilot programs, and enterprise deployment planning.
-
Program Tracking & Reporting: Coordinate with PMO and business stakeholders to track AI initiatives, technical deliverables, outcomes, risks, dependencies, adoption metrics, and value realization across enterprise AI programs.
-
AI Advisory & Collaboration: Serve as the enterprise AI technical subject matter expert and trusted advisor to leadership and technical teams. Provide technical leadership, architectural guidance, and implementation recommendations across Infrastructure, Cybersecurity, Enterprise Applications, Data & Analytics, Software Development, and business functions.
-
Thought Leadership & Global Execution: Promote a culture of innovation, continuous learning, technical excellence, and responsible AI usage. Provide thought leadership on AI technologies, engineering best practices, enterprise architecture, and emerging industry trends. Collaborate effectively with global teams across multiple time zones, including Japan Headquarters and other international locations, to deliver enterprise AI capabilities while exercising a high degree of independent judgment and technical leadership.
-
Adhere to all company policies, procedures, and business ethics codes.
-
Duties may be modified or assigned at any time based on business need.
Qualifications
Education / Certification / Experience Required:
-
Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, Business Information Systems, or a related field; relevant education and experience accepted in lieu of degree.
-
AI, Cloud, Architecture, or Data-related certifications preferred. Examples include:
- Microsoft Azure AI Engineer Associate
- Microsoft Azure Solutions Architect Expert
- AWS Certified Machine Learning Specialty
- Google Professional Machine Learning Engineer
- TOGAF
-
Certified Information Systems Security Professional (CISSP)
-
8+ years of experience in Information Technology, Enterprise Architecture, Digital Transformation, Software Development, Data & Analytics, or related disciplines.
-
3+ years of experience leading or supporting AI, Machine Learning, Generative AI, Automation, or Digital Transformation initiatives.
-
Experience working with cross-functional business and technical teams in a complex enterprise environment.
-
Experience developing technology strategies, governance frameworks, standards, or enterprise roadmaps.
-
Experience managing technology programs, initiatives, or organizational change efforts.
Competencies Required:
-
Ability to follow written and verbal direction and established processes/policies.
-
Excellent organizational skills.
-
Demonstrated ability to solve problems and troubleshoot.
-
Strong record-keeping skill: Ability to follow through and document issues and resolutions.
-
Must be able to communicate verbally and in writing, and to receive and understand verbal and written instructions in English.
-
Able to work effectively both independently and in a collaborative team environment.
Compensation
The anticipated range for this position is $93,600 to $135,200. Actual placement within the range is dependent on multiple factors, including but not limited to skills, education, experience and location.
Perks and Benefits
Visit our Career page to learn more about Perks & Benefits and working at Nihon Kohden America.
Working Conditions
Schedule: The regular hours for this full-time position are 8:00 a.m. to 5:00 p.m., Monday-Friday, unless otherwise stated by the department manager. Holiday, weekend, and evening work hours may be required. Regular hours may vary due to the needs of the organization or department and are subject to change at any time at the Company's discretion.
Physical: Generally may require some reaching, bending, stooping, squatting, crawling, kneeling, pushing, pulling, lifting, carrying up to 20 pounds, finger dexterity, repetitive motions, standing, walking, sitting, hearing, visual acuity, and color vision. More specific details may be provided as needed or requested.
Travel: Minimal
Access to Customer Sites: Not Required
Nihon Kohden America is committed to maintaining a professional and respectful workplace free from discrimination, harassment, and retaliation and welcomes all qualified candidates to apply. Employment decisions are based on qualifications, experience, and business needs, without regard to legally protected characteristics. This policy applies to all employment actions, including recruitment, hiring, promotion, compensation, training, and other workplace practices.
Nihon Kohden America complies with all applicable federal, state, and local laws regarding equal employment opportunity. Employees and applicants will not be subject to harassment or retaliation for asserting their legal rights. Questions or concerns regarding this policy may be directed to Human Resources at HREmployeeServices@nihonkohden.com.
INTRODUCTION
The Enterprise AI Lead is responsible for supporting the development and leading the execution of the organization's Artificial Intelligence (AI) strategy, governance framework, and adoption roadmap. This role serves as the central point of coordination for AI initiatives across the enterprise, partnering with business and IT technical teams to identify opportunities, establish standards, enable responsible AI adoption, and drive measurable business value.
The Enterprise AI Lead collaborates closely with Infrastructure, Cybersecurity, Enterprise Applications, Software Development, Data & Analytics, and key stakeholders to ensure AI capabilities are effectively integrated into organizational processes, technology platforms, and ways of working.
The role focuses on building enterprise AI capabilities, governance, and organizational maturity while enabling technical teams to leverage AI safely, responsibly, and effectively.
Essential Functions and Main Duties
-
AI Strategy & Roadmap: Develop, support, and drive execution of the enterprise AI strategy, roadmap, and adoption plans aligned with business objectives. Evaluate emerging AI technologies, architectures, and industry trends to identify innovation opportunities and recommend enterprise AI technology direction, standards, and implementation approaches.
-
AI Opportunity & Metrics: Identify and prioritize AI opportunities that improve operational efficiency, customer experience, employee productivity, software development effectiveness, and decision-making. Establish success metrics, monitor progress against strategic objectives, and measure business value realization.
-
AI Governance Frameworks, Risk & Compliance: Develop, support, and coordinate enterprise AI governance through the creation of policies, standards, reference architectures, and best practices. Participate in governance reviews, architecture reviews, and technology evaluations for AI-related initiatives. Partner with Cybersecurity, Legal, Compliance, and Risk Management teams to ensure responsible AI adoption while addressing data privacy, security, intellectual property, regulatory compliance, and ethical AI.
-
Enterprise AI Architecture, Standards & Technology Selection: Develop and contribute to enterprise AI architecture, technical standards, and implementation patterns for AI-assisted software development, knowledge management, automation, and business process optimization. Collaborate with Infrastructure, Security, Data, Enterprise Applications, and Software Development teams to build scalable, secure, and maintainable AI platforms. Design, architect, develop, deploy, and continuously improve enterprise AI solutions, including AI applications, AI agents, automation workflows, AI-assisted software capabilities, application-embedded AI features, and integrations using enterprise AI platforms and services. Provide technical leadership throughout the AI solution lifecycle by establishing solution architectures, guiding technical implementation, conducting architecture and design reviews, evaluating technologies, supporting proof-of-concepts and production deployments, and ensuring solutions meet enterprise architecture, security, scalability, maintainability, and business needs.
-
Enterprise Adoption Leadership: Lead enterprise AI adoption initiatives across business and technical organizations. Coach and advise executives, project teams, architects, software engineers, and business stakeholders on AI opportunities, solution architecture, implementation approaches, and enterprise best practices.
-
AI Literacy & Communities: Develop AI training, technical enablement, engineering standards, awareness programs, and Communities of Practice to improve enterprise AI literacy, software engineering effectiveness, and responsible AI usage across business and technical teams.
-
Use Case Management: Facilitate identification, evaluation, and prioritization of enterprise AI use cases. Support business case development, technical feasibility assessments, proof-of-concepts, pilot programs, and enterprise deployment planning.
-
Program Tracking & Reporting: Coordinate with PMO and business stakeholders to track AI initiatives, technical deliverables, outcomes, risks, dependencies, adoption metrics, and value realization across enterprise AI programs.
-
AI Advisory & Collaboration: Serve as the enterprise AI technical subject matter expert and trusted advisor to leadership and technical teams. Provide technical leadership, architectural guidance, and implementation recommendations across Infrastructure, Cybersecurity, Enterprise Applications, Data & Analytics, Software Development, and business functions.
-
Thought Leadership & Global Execution: Promote a culture of innovation, continuous learning, technical excellence, and responsible AI usage. Provide thought leadership on AI technologies, engineering best practices, enterprise architecture, and emerging industry trends. Collaborate effectively with global teams across multiple time zones, including Japan Headquarters and other international locations, to deliver enterprise AI capabilities while exercising a high degree of independent judgment and technical leadership.
-
Adhere to all company policies, procedures, and business ethics codes.
-
Duties may be modified or assigned at any time based on business need.
Qualifications
Education / Certification / Experience Required:
-
Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, Business Information Systems, or a related field; relevant education and experience accepted in lieu of degree.
-
AI, Cloud, Architecture, or Data-related certifications preferred. Examples include:
- Microsoft Azure AI Engineer Associate
- Microsoft Azure Solutions Architect Expert
- AWS Certified Machine Learning Specialty
- Google Professional Machine Learning Engineer
- TOGAF
-
Certified Information Systems Security Professional (CISSP)
-
8+ years of experience in Information Technology, Enterprise Architecture, Digital Transformation, Software Development, Data & Analytics, or related disciplines.
-
3+ years of experience leading or supporting AI, Machine Learning, Generative AI, Automation, or Digital Transformation initiatives.
-
Experience working with cross-functional business and technical teams in a complex enterprise environment.
-
Experience developing technology strategies, governance frameworks, standards, or enterprise roadmaps.
-
Experience managing technology programs, initiatives, or organizational change efforts.
Competencies Required:
-
Ability to follow written and verbal direction and established processes/policies.
-
Excellent organizational skills.
-
Demonstrated ability to solve problems and troubleshoot.
-
Strong record-keeping skill: Ability to follow through and document issues and resolutions.
-
Must be able to communicate verbally and in writing, and to receive and understand verbal and written instructions in English.
-
Able to work effectively both independently and in a collaborative team environment.
Compensation
The anticipated range for this position is $93,600 to $135,200. Actual placement within the range is dependent on multiple factors, including but not limited to skills, education, experience and location.
Perks and Benefits
Visit our Career page to learn more about Perks & Benefits and working at Nihon Kohden America.
Working Conditions
Schedule: The regular hours for this full-time position are 8:00 a.m. to 5:00 p.m., Monday-Friday, unless otherwise stated by the department manager. Holiday, weekend, and evening work hours may be required. Regular hours may vary due to the needs of the organization or department and are subject to change at any time at the Company's discretion.
Physical: Generally may require some reaching, bending, stooping, squatting, crawling, kneeling, pushing, pulling, lifting, carrying up to 20 pounds, finger dexterity, repetitive motions, standing, walking, sitting, hearing, visual acuity, and color vision. More specific details may be provided as needed or requested.
Travel: Minimal
Access to Customer Sites: Not Required
Nihon Kohden America is committed to maintaining a professional and respectful workplace free from discrimination, harassment, and retaliation and welcomes all qualified candidates to apply. Employment decisions are based on qualifications, experience, and business needs, without regard to legally protected characteristics. This policy applies to all employment actions, including recruitment, hiring, promotion, compensation, training, and other workplace practices.
Nihon Kohden America complies with all applicable federal, state, and local laws regarding equal employment opportunity. Employees and applicants will not be subject to harassment or retaliation for asserting their legal rights. Questions or concerns regarding this policy may be directed to Human Resources at HREmployeeServices@nihonkohden.com.
See all 9,815+ Enterprise Sales Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Enterprise Sales Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as an Enterprise Sales Engineer
Target companies with H-1B filing history
Large enterprise software companies like Salesforce, Oracle, and SAP file H-1B petitions for Sales Engineers regularly. Focusing on established tech vendors with existing sponsorship infrastructure dramatically increases your odds of a successful petition.
Align your degree to your technical specialty
USCIS scrutinizes Sales Engineer petitions for specialty occupation. A computer science or engineering degree supporting the technical domain you sell in, cloud infrastructure, security, or data, strengthens the employer's case significantly.
Document your pre-sales technical contributions
Proof-of-concept builds, technical architecture designs, and integration work you've led are powerful evidence. These materials demonstrate the role requires specialized knowledge, which is central to H-1B specialty occupation and O-1 visa extraordinary ability arguments.
Consider O-1A if your track record is strong
Sales Engineers with a record of major deals, industry speaking engagements, or published technical content may qualify for O-1A. It bypasses the H-1B lottery entirely and is worth exploring with an immigration attorney before registration season.
Clarify the role scope before accepting an offer
Job titles vary widely. Confirm with the employer whether the role is primarily technical or primarily commercial. A predominantly sales-focused role without deep technical requirements is harder to defend as a specialty occupation under H-1B.
Use Migrate Mate to find sponsoring employers
Migrate Mate filters Enterprise Sales Engineer roles by employers with active sponsorship history. Applying to companies already familiar with the H-1B process for this role reduces delays and the risk of a withdrawn petition.
Frequently Asked Questions
Does the Enterprise Sales Engineer role qualify as an H-1B specialty occupation?
Yes, in most cases. USCIS has approved H-1B visa petitions for Sales Engineers when the role demonstrably requires a bachelor's degree or higher in a specific technical field such as computer science, electrical engineering, or information systems. The risk increases when a job description accepts any bachelor's degree regardless of field, that framing weakens the specialty occupation argument. Employers should ensure the job posting and internal documentation consistently reflect the technical degree requirement.
Which visa types are Enterprise Sales Engineers typically sponsored for?
H-1B is the most common path, particularly for Sales Engineers at software, cloud, and hardware companies. O-1A is a strong alternative for candidates with demonstrated excellence through major contract wins, industry recognition, or technical publications. L-1B (intracompany transferee with specialized knowledge) applies if you're already employed at the company abroad. TN visa status covers Canadian and Mexican nationals if the role aligns with an approved TN category such as engineer or computer systems analyst.
What degree does an Enterprise Sales Engineer need for visa sponsorship?
A bachelor's degree in computer science, electrical engineering, information systems, or a closely related technical discipline is the standard requirement. A general business or communications degree typically won't support a specialty occupation petition without substantial supplemental evidence. If your degree is tangential, three years of highly technical, progressively complex work experience can substitute for one year of formal education under USCIS equivalency rules, though this adds complexity to the petition.
Are large tech companies more likely to sponsor Enterprise Sales Engineers than smaller ones?
Generally yes. Enterprises like Cisco, AWS, Microsoft, and Palo Alto Networks have dedicated immigration teams and established processes for sponsoring Sales Engineers. Smaller vendors may sponsor selectively but lack the infrastructure to move quickly, which matters during H-1B cap season. Before accepting any offer, ask the recruiter directly whether the company has sponsored this specific role before, past filings are the strongest predictor of a smooth process.
Where can I find Enterprise Sales Engineer jobs that offer visa sponsorship?
Migrate Mate lists Enterprise Sales Engineer roles specifically filtered for employers willing to sponsor work visas. Because sponsorship willingness isn't always disclosed upfront in standard job postings, using a platform built around visa sponsorship saves significant time. Migrate Mate surfaces roles from companies with verified sponsorship history, so you're not cold-applying to employers who will decline at the offer stage.
What is the prevailing wage requirement for sponsored Enterprise Sales 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.