E-3 Visa Software Engineer AI Jobs
Software Engineer AI roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in computer science, software engineering, or a related field. Australian citizens can secure two-year renewable status with no lottery, making this one of the most direct paths to building an AI career in the United States.
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Get Access To All JobsINTRODUCTION
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AI Service-as-Software Solutions Architect to join our team in Plano, Texas (US-TX), United States (US).
KEY RESPONSIBILITIES
Client Strategy, Discovery Executive Solutioning
- Engage C-suite and functional executives to identify high-friction workflows, value leakage, decision bottlenecks, and outcome pools that justify an AI-native transformation.
- Lead executive briefings, discovery sessions, design workshops, and value workshops that move the conversation from isolated AI use cases to reimagined end-to-end business work.
- Translate ambiguous business priorities into a clear problem statement, future-state workflow, stakeholder model, measurable outcomes, roadmap, and investable solution hypothesis.
- Create persuasive, business-first narratives, demos, POVs, proposals, and executive presentations that show how governed AI agents perform work rather than simply showcase platform features.
Service-as-Software Solution Architecture
- Own the end-to-end solution blueprint across business process, domain logic, agents, human-in-the-loop controls, data and knowledge, integrations, security, observability, governance, operating model, and value measurement.
- Determine what should be client-specific, reusable at the industry-solution layer, or provided by the underlying enterprise AI platform; prevent unnecessary custom builds and platform forks.
- Convert representative workflows into capability architectures, agent interaction models, functional and non-functional requirements, deployment prerequisites, evaluation criteria, and delivery-ready backlogs.
- Guide architecture choices across hyperscalers, enterprise applications, data platforms, APIs, event flows, identity, model services, and customer environments while maintaining a composable, platform-led design.
- Ensure solutions include trustworthy-AI controls, auditability, policy enforcement, role-based access, data protection, resilience, release management, and measurable value attribution.
Pursuit, Commercial Deal Leadership
- Lead strategic AI pursuits from qualification through closure, integrating account, industry, domain, product, platform, AI delivery, security, legal, finance, and managed-services perspectives into one coherent offer.
- Shape outcome-based commercials, platform and services constructs, implementation phases, managed-services models, assumptions, dependencies, acceptance criteria, and KPI-linked value cases.
- Direct the development and quality review of SOWs, pricing inputs, solution estimates, delivery responsibilities, IP and reuse positions, security commitments, and customer-facing architecture materials.
- Identify pursuit risks early, drive decisions across organizational boundaries, resolve ownership gaps, and maintain credibility on scope, timeline, economics, and customer commitments.
Delivery Mobilization Value Realization
- Remain accountable through the transition from pursuit to delivery, ensuring the sold vision is converted into executable requirements, architecture, work packages, governance, and a realistic mobilization plan.
- Establish the delivery pod, roles, decision rights, RAID discipline, architecture governance, product dependencies, client inputs, and escalation paths required for successful execution.
- Validate that agent workflows and recommendations remain aligned with business process realities, human accountability, risk controls, user adoption, and the agreed value case.
- Define KPI baselines and outcome measures, support executive checkpoints, and ensure lessons from delivery are harvested into repeatable assets and future offerings.
Portfolio Team Leadership
- Lead, coach, and deploy a team of solution architects, domain SMEs, industry leads, and pursuit contributors; establish clear ownership, quality standards, development plans, and decision cadence.
- Manage the portfolio and forward pipeline, balancing near-term customer deadlines with strategic investment in scalable industry capabilities, accelerators, and reference architectures.
- Represent the practice in leadership reviews, customer forums, internal enablement, town halls, and strategic planning; communicate progress, risks, priorities, investment needs, and decisions crisply.
REQUIRED QUALIFICATIONS
- 15+ years of experience spanning enterprise solution architecture, technology-enabled transformation, consulting, presales, product or platform solutioning, and large-scale delivery.
- Proven ability to lead complex, multi-stakeholder AI or digital-transformation pursuits and convert uncertain client needs into funded, executable programs.
- Deep understanding of Agentic AI and GenAI patterns, including orchestration, tools and skills, workflow state, knowledge grounding, human approval, evaluation, observability, security, governance, and enterprise integration.
- Strong business-process orientation across two or more domains such as manufacturing, supply chain, procurement, engineering, customer operations, finance, or enterprise services.
- Experience designing solutions across cloud, data, application, integration, security, and operating-model layers without losing the business outcome or user journey.
- Demonstrated strength in business cases, value pools, KPI frameworks, commercial constructs, solution estimation, SOW development, executive storytelling, and contract-risk discussions.
- Executive presence and the ability to influence C-suite clients, senior internal leaders, product teams, architects, domain experts, sales teams, and delivery organizations.
- Experience leading and developing multidisciplinary teams in a matrixed, global environment.
PREFERRED QUALIFICATIONS
- Experience building or scaling AI-native offerings, Service-as-Software, managed AI services, industry platforms, or outcome-based solutions.
- Hands-on familiarity with enterprise AI platforms and major hyperscalers, plus integration with SAP, Oracle, Salesforce, ServiceNow, Microsoft, data platforms, and industry applications.
- Experience establishing reusable reference architectures, solution playbooks, demo portfolios, governance mechanisms, and product-to-delivery operating models.
- Background in manufacturing and products industries, with exposure to complex global accounts and cross-functional transformation programs.
- Relevant cloud, architecture, AI, product, program, or change-leadership certifications.
WHAT SUCCESS LOOKS LIKE
The successful leader can step into an executive client conversation, identify the business work that should be transformed, shape a differentiated Service-as-Software proposition, and mobilize the right people to turn that proposition into a credible deal and executable solution. They bring enough technical depth to challenge architecture and delivery decisions, enough commercial judgment to protect the deal, enough domain curiosity to reimagine workflows, and enough leadership range to run a high-performing solutions group across multiple strategic pursuits.
SUCCESS PROFILE KEY PERFORMANCE MEASURES
- Qualified pipeline and revenue influenced
- Strategic pursuits converted and proposal win rate
- Solution quality, reuse, and architecture compliance
- SOW and commercial readiness
- Delivery mobilization and value realization
- Client and executive stakeholder confidence
- Reusable assets and offerings created
- Team capability, utilization, and succession strength
A unique opportunity to lead the team that turns AI strategy into repeatable, outcome-led solutions and establishes how NTT DATA sells, architects, and scales Service-as-Software across industries.
ABOUT NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form.
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $105,597 - 244,438. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life and ADD insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.
NTT DATA endeavors to make its website accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.
NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
INTRODUCTION
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AI Service-as-Software Solutions Architect to join our team in Plano, Texas (US-TX), United States (US).
KEY RESPONSIBILITIES
Client Strategy, Discovery Executive Solutioning
- Engage C-suite and functional executives to identify high-friction workflows, value leakage, decision bottlenecks, and outcome pools that justify an AI-native transformation.
- Lead executive briefings, discovery sessions, design workshops, and value workshops that move the conversation from isolated AI use cases to reimagined end-to-end business work.
- Translate ambiguous business priorities into a clear problem statement, future-state workflow, stakeholder model, measurable outcomes, roadmap, and investable solution hypothesis.
- Create persuasive, business-first narratives, demos, POVs, proposals, and executive presentations that show how governed AI agents perform work rather than simply showcase platform features.
Service-as-Software Solution Architecture
- Own the end-to-end solution blueprint across business process, domain logic, agents, human-in-the-loop controls, data and knowledge, integrations, security, observability, governance, operating model, and value measurement.
- Determine what should be client-specific, reusable at the industry-solution layer, or provided by the underlying enterprise AI platform; prevent unnecessary custom builds and platform forks.
- Convert representative workflows into capability architectures, agent interaction models, functional and non-functional requirements, deployment prerequisites, evaluation criteria, and delivery-ready backlogs.
- Guide architecture choices across hyperscalers, enterprise applications, data platforms, APIs, event flows, identity, model services, and customer environments while maintaining a composable, platform-led design.
- Ensure solutions include trustworthy-AI controls, auditability, policy enforcement, role-based access, data protection, resilience, release management, and measurable value attribution.
Pursuit, Commercial Deal Leadership
- Lead strategic AI pursuits from qualification through closure, integrating account, industry, domain, product, platform, AI delivery, security, legal, finance, and managed-services perspectives into one coherent offer.
- Shape outcome-based commercials, platform and services constructs, implementation phases, managed-services models, assumptions, dependencies, acceptance criteria, and KPI-linked value cases.
- Direct the development and quality review of SOWs, pricing inputs, solution estimates, delivery responsibilities, IP and reuse positions, security commitments, and customer-facing architecture materials.
- Identify pursuit risks early, drive decisions across organizational boundaries, resolve ownership gaps, and maintain credibility on scope, timeline, economics, and customer commitments.
Delivery Mobilization Value Realization
- Remain accountable through the transition from pursuit to delivery, ensuring the sold vision is converted into executable requirements, architecture, work packages, governance, and a realistic mobilization plan.
- Establish the delivery pod, roles, decision rights, RAID discipline, architecture governance, product dependencies, client inputs, and escalation paths required for successful execution.
- Validate that agent workflows and recommendations remain aligned with business process realities, human accountability, risk controls, user adoption, and the agreed value case.
- Define KPI baselines and outcome measures, support executive checkpoints, and ensure lessons from delivery are harvested into repeatable assets and future offerings.
Portfolio Team Leadership
- Lead, coach, and deploy a team of solution architects, domain SMEs, industry leads, and pursuit contributors; establish clear ownership, quality standards, development plans, and decision cadence.
- Manage the portfolio and forward pipeline, balancing near-term customer deadlines with strategic investment in scalable industry capabilities, accelerators, and reference architectures.
- Represent the practice in leadership reviews, customer forums, internal enablement, town halls, and strategic planning; communicate progress, risks, priorities, investment needs, and decisions crisply.
REQUIRED QUALIFICATIONS
- 15+ years of experience spanning enterprise solution architecture, technology-enabled transformation, consulting, presales, product or platform solutioning, and large-scale delivery.
- Proven ability to lead complex, multi-stakeholder AI or digital-transformation pursuits and convert uncertain client needs into funded, executable programs.
- Deep understanding of Agentic AI and GenAI patterns, including orchestration, tools and skills, workflow state, knowledge grounding, human approval, evaluation, observability, security, governance, and enterprise integration.
- Strong business-process orientation across two or more domains such as manufacturing, supply chain, procurement, engineering, customer operations, finance, or enterprise services.
- Experience designing solutions across cloud, data, application, integration, security, and operating-model layers without losing the business outcome or user journey.
- Demonstrated strength in business cases, value pools, KPI frameworks, commercial constructs, solution estimation, SOW development, executive storytelling, and contract-risk discussions.
- Executive presence and the ability to influence C-suite clients, senior internal leaders, product teams, architects, domain experts, sales teams, and delivery organizations.
- Experience leading and developing multidisciplinary teams in a matrixed, global environment.
PREFERRED QUALIFICATIONS
- Experience building or scaling AI-native offerings, Service-as-Software, managed AI services, industry platforms, or outcome-based solutions.
- Hands-on familiarity with enterprise AI platforms and major hyperscalers, plus integration with SAP, Oracle, Salesforce, ServiceNow, Microsoft, data platforms, and industry applications.
- Experience establishing reusable reference architectures, solution playbooks, demo portfolios, governance mechanisms, and product-to-delivery operating models.
- Background in manufacturing and products industries, with exposure to complex global accounts and cross-functional transformation programs.
- Relevant cloud, architecture, AI, product, program, or change-leadership certifications.
WHAT SUCCESS LOOKS LIKE
The successful leader can step into an executive client conversation, identify the business work that should be transformed, shape a differentiated Service-as-Software proposition, and mobilize the right people to turn that proposition into a credible deal and executable solution. They bring enough technical depth to challenge architecture and delivery decisions, enough commercial judgment to protect the deal, enough domain curiosity to reimagine workflows, and enough leadership range to run a high-performing solutions group across multiple strategic pursuits.
SUCCESS PROFILE KEY PERFORMANCE MEASURES
- Qualified pipeline and revenue influenced
- Strategic pursuits converted and proposal win rate
- Solution quality, reuse, and architecture compliance
- SOW and commercial readiness
- Delivery mobilization and value realization
- Client and executive stakeholder confidence
- Reusable assets and offerings created
- Team capability, utilization, and succession strength
A unique opportunity to lead the team that turns AI strategy into repeatable, outcome-led solutions and establishes how NTT DATA sells, architects, and scales Service-as-Software across industries.
ABOUT NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form.
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $105,597 - 244,438. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life and ADD insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.
NTT DATA endeavors to make its website accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.
NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
See all 441+ E-3 Visa Software Engineer AI Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Software Engineer AI Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Software Engineer AI
Translate your Australian degree credentials clearly
U.S. employers and consular officers assess whether your Australian bachelor's degree maps to a U.S. four-year degree. A three-year Australian CS or engineering degree is generally accepted, but get a credential evaluation letter ready before applications start.
Filter AI roles by specialty occupation alignment
Not every 'AI engineer' job posting qualifies under E-3 visa specialty occupation rules. Look for postings that explicitly require a bachelor's degree in a specific technical field, roles listing 'any degree' or 'equivalent experience' create LCA complications at the consulate.
Use Migrate Mate to find verified E-3 sponsors
Many AI teams assume only H-1B visa sponsorship is available. Migrate Mate surfaces employers with active E-3 filing history so you target companies that already understand the process, saving time on educating hiring managers about your visa status.
Ask about LCA timing before accepting an offer
Your employer must file a certified LCA with DOL before you can schedule your consulate appointment. DOL targets seven business days for certification, but factor this into your start date negotiation so you're not caught waiting after signing.
Position AI specializations as specialty occupation evidence
Machine learning, generative AI, and computer vision roles carry stronger specialty occupation arguments when the job description ties specific technical skills to a degree field. Ask your employer to reference the SOC code for software developers in your offer letter and LCA.
File paperwork through Migrate Mate's E-3 filing service
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end. It covers DOL submission, DS-160 preparation, and consulate appointment readiness without the cost of a traditional immigration attorney.
E-3 Visa Software Engineer AI: Frequently Asked Questions
How do I find Software Engineer AI jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for this search. It filters roles by E-3 sponsorship history so you're not cold-applying to companies that have never sponsored an Australian before. AI engineering is a high-demand specialty, but not every team knows the E-3 exists, targeting employers with a filing track record shortens the process significantly.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Software Engineer AI role qualify as a specialty occupation under the E-3?
Yes, in most cases. The E-3 requires the role to normally require at least a bachelor's degree in a specific field. Software engineering and AI roles tied to computer science, machine learning, or data science degrees meet this standard consistently. Roles written broadly, such as 'AI specialist' with no degree field requirement, can create issues at the LCA stage, so the job description wording matters.
How does the E-3 compare to the H-1B for Software Engineer AI roles?
The E-3 has a 10,500-per-year cap that has never been fully used, meaning there's no lottery and no wait for an annual registration window. H-1B selection is randomized and limited to roughly 85,000 slots per year, with most computer and AI roles competing in a heavily oversubscribed pool. For Australian citizens, the E-3 is the faster and more predictable path into a U.S. AI engineering role.
Can I change employers or switch to an AI-focused team after arriving on an E-3?
Yes. The E-3 is employer-specific, so switching roles requires your new employer to file a fresh LCA with DOL and support a new visa application. There's no formal portability provision like H-1B has under AC21, but the process is straightforward. You can begin working for the new employer after USCIS approves a change of status, or after attending a consulate appointment if you're outside the U.S.