E-3 Visa AI Software Developer Jobs
AI Software Developer roles in machine learning, NLP, and generative AI are among the most actively sponsored positions in the U.S. tech sector, and the E-3 visa gives Australian professionals a direct path in. With no lottery and unlimited two-year renewals, E-3 sponsorship lets you build a long-term career without the H-1B visa uncertainty.
Find E-3 Visa AI Software Developer JobsOverview
Showing 5 of 441+ AI Software Developer jobs
See all 441+ AI Software Developer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Software Developer roles.
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 AI Software Developer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa AI Software Developer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as an AI Software Developer
Frame your credentials around U.S. specialty occupation
Your Australian bachelor's degree in computer science, software engineering, or a directly related field satisfies E-3 visa's specialty occupation requirement. If your degree is in a different discipline, document how your AI-specific coursework and experience map to the role USCIS reviews.
Target employers with active LCA filing history
Search the DOL's OFLC disclosure data for companies that have certified LCAs for AI or machine learning job titles. Employers who have filed before understand the process, which shortens the time between offer and your consulate appointment.
Clarify job title framing before the offer stage
Titles like 'AI Engineer,' 'Machine Learning Engineer,' and 'Research Scientist' all qualify, but the offer letter must describe duties that require a specific bachelor's degree. Ask hiring managers to confirm the role will be written as a specialty occupation for the LCA before you accept.
Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork
Once you have an offer, the LCA must be certified by DOL before your consulate appointment can proceed. Migrate Mate's E-3 filing service manages the entire process from LCA submission through consulate preparation, so nothing stalls between offer and start date.
Prepare a technical portfolio aligned to the specific AI domain
Consular officers assess whether your background genuinely supports the offered role. A portfolio showing deployed models, published research, or production AI systems in the relevant domain, such as computer vision or large language models, strengthens the specialty occupation case at your interview.
Negotiate your start date around consulate processing windows
Australian consulates currently schedule E-3 interviews within a few weeks, but administrative processing for AI roles with security-sensitive applications can add time. Build at least four to six weeks of buffer into your agreed start date and confirm this buffer with your employer upfront.
E-3 Visa AI Software Developer: Frequently Asked Questions
How do I find AI Software Developer jobs that offer E-3 sponsorship?
Migrate Mate is built specifically for this search. It surfaces AI Software Developer roles at employers with E-3 and H-1B filing history, so you can filter to companies already comfortable with the sponsorship process. Most general job boards don't filter by visa sponsorship type, which means a lot of wasted applications to employers who won't sponsor.
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 the E-3 visa or H-1B work better for AI Software Developer roles?
For Australian nationals, the E-3 is significantly more practical. There's no annual cap and no lottery, so you can apply any time of year and start as soon as your consulate appointment clears. H-1B requires winning a lottery with roughly a 25% selection rate and a fixed October 1 start date, which makes it a poor fit for roles with urgent hiring timelines common in AI.
Do AI Software Developer roles qualify as a specialty occupation for E-3 purposes?
Yes, provided the job duties genuinely require a bachelor's degree in a specific technical field such as computer science, electrical engineering, or mathematics. Roles focused on building, training, or deploying AI and machine learning systems consistently meet this standard. Roles described as requiring a degree in any field, or with duties a non-specialist could perform, are harder to support.
Can I switch AI employers while on E-3 status?
Yes, but your new employer must file a fresh LCA and you'll need a new visa stamp if yours lists the previous employer. Unlike H-1B portability rules, E-3 doesn't have a formal portability provision, so you can't legally start the new role until the new LCA is certified and, if required, a new visa is issued at a consulate.