E-3 Visa AI Specialist Jobs
AI Specialist roles in machine learning, NLP, and computer vision qualify as E-3 visa specialty occupations, making U.S. employer sponsorship straightforward for Australian nationals with a relevant degree. The E-3 has no lottery and no annual cap, so you can target roles and start the process year-round without waiting for a selection cycle.
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Get Access To All JobsPosition title: Conversational AI Specialist, VP
New York Plaza, NYC
COMPANY PROFILE
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.
As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
About Firm wide AI
The Wealth Management Generative AI Team at Morgan Stanley is a dynamic and innovative department that serves as a Center of AI enablement. The team is responsible for deploying advanced systems that utilize generative artificial intelligence to optimize business processes. The team oversees governance and control measures to ensure the ethical and responsible use of AI technologies. The team is committed to fostering a culture of continuous learning and provide education on AI technologies to other departments within the company.
Position Overview:
We are seeking a highly skilled and motivated Conversational AI Specialist with a strong background in conversational design and model evaluation to join our team at Morgan Stanley. In this role, you’ll craft enterprise level conversational AI solutions, develop smart automation tools, and refine generative AI models to ensure reliable, quality outputs. This role will liaise with business teams across the Firm, technology, vendors, and centralized AI teams to accelerate the development and adoption of AI-based solutions.
Key Responsibilities:
- Conversational Experiences: Develop and maintain differentiated conversational experiences for employee and client virtual assistant experiences that allow users to access knowledge, data and workflows.
- Prompt Solutioning: Develop and refine context-aware prompts tailored to different use cases, domains, and user intents with a view of improving the accuracy, relevance and efficiency of AI generated chatbot responses. Ensure these prompt solutions are scalable, sustainable, effectively integrates with technical infrastructure, and successfully meet the specific needs of the business.
- Testing and Evaluation: Develop and maintain data driven methodologies for testing and evaluating Generative AI responses for coherence, bias, factual accuracy and user satisfaction. Create and manage human evaluations – manual and automated strategies such as LLM-as-a-judge – to ensure LLM Model outputs meet high standards.
- Troubleshooting and Optimization: Identify and troubleshoot issues and anomalies in the LLM model outputs and provide feedback and recommendations for solution improvement and optimization.
- Risk Management: Identify potential risks and issues that may impact project delivery and develop mitigation strategies to address them proactively. Monitor project performance and implement corrective actions as necessary to ensure successful outcomes.
- Stakeholder Management: Establish and maintain effective communication channels with internal stakeholders such as tech partners and business product owners. Manage expectations and address any concerns or issues that arise.
- Collaboration: Collaborate with cross-functional teams, including internal stakeholders and vendor partners.
- Performance Monitoring and Reporting: Track project performance metrics and KPIs to measure progress against objective and identify areas for improvement.
Qualifications/Skills Required or Preferred:
- Experience with Conversational AI solutioning / product development / experimentation or Innovation.
- Experience with prompt engineering for using Commercial or Open Source LLMs such as GPT, Claude, Gemini, LLAMA.
- Experience with conversational AI evaluation techniques such as F1, RAGAS, and human feedback analysis.
- Strong understanding of artificial intelligence concepts and technologies.
- Excellent communication, interpersonal and leadership skills.
- Proven experience in program or project management.
- Ability to manage multiple projects simultaneously in a fast-paced environment.
- Solid analytical and problem-solving abilities with keen attention to detail.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
Expected base pay rates for the role will be between $110,000 and $140,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
Position title: Conversational AI Specialist, VP
New York Plaza, NYC
COMPANY PROFILE
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.
As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
About Firm wide AI
The Wealth Management Generative AI Team at Morgan Stanley is a dynamic and innovative department that serves as a Center of AI enablement. The team is responsible for deploying advanced systems that utilize generative artificial intelligence to optimize business processes. The team oversees governance and control measures to ensure the ethical and responsible use of AI technologies. The team is committed to fostering a culture of continuous learning and provide education on AI technologies to other departments within the company.
Position Overview:
We are seeking a highly skilled and motivated Conversational AI Specialist with a strong background in conversational design and model evaluation to join our team at Morgan Stanley. In this role, you’ll craft enterprise level conversational AI solutions, develop smart automation tools, and refine generative AI models to ensure reliable, quality outputs. This role will liaise with business teams across the Firm, technology, vendors, and centralized AI teams to accelerate the development and adoption of AI-based solutions.
Key Responsibilities:
- Conversational Experiences: Develop and maintain differentiated conversational experiences for employee and client virtual assistant experiences that allow users to access knowledge, data and workflows.
- Prompt Solutioning: Develop and refine context-aware prompts tailored to different use cases, domains, and user intents with a view of improving the accuracy, relevance and efficiency of AI generated chatbot responses. Ensure these prompt solutions are scalable, sustainable, effectively integrates with technical infrastructure, and successfully meet the specific needs of the business.
- Testing and Evaluation: Develop and maintain data driven methodologies for testing and evaluating Generative AI responses for coherence, bias, factual accuracy and user satisfaction. Create and manage human evaluations – manual and automated strategies such as LLM-as-a-judge – to ensure LLM Model outputs meet high standards.
- Troubleshooting and Optimization: Identify and troubleshoot issues and anomalies in the LLM model outputs and provide feedback and recommendations for solution improvement and optimization.
- Risk Management: Identify potential risks and issues that may impact project delivery and develop mitigation strategies to address them proactively. Monitor project performance and implement corrective actions as necessary to ensure successful outcomes.
- Stakeholder Management: Establish and maintain effective communication channels with internal stakeholders such as tech partners and business product owners. Manage expectations and address any concerns or issues that arise.
- Collaboration: Collaborate with cross-functional teams, including internal stakeholders and vendor partners.
- Performance Monitoring and Reporting: Track project performance metrics and KPIs to measure progress against objective and identify areas for improvement.
Qualifications/Skills Required or Preferred:
- Experience with Conversational AI solutioning / product development / experimentation or Innovation.
- Experience with prompt engineering for using Commercial or Open Source LLMs such as GPT, Claude, Gemini, LLAMA.
- Experience with conversational AI evaluation techniques such as F1, RAGAS, and human feedback analysis.
- Strong understanding of artificial intelligence concepts and technologies.
- Excellent communication, interpersonal and leadership skills.
- Proven experience in program or project management.
- Ability to manage multiple projects simultaneously in a fast-paced environment.
- Solid analytical and problem-solving abilities with keen attention to detail.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
Expected base pay rates for the role will be between $110,000 and $140,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
See all 417+ E-3 Visa AI Specialist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa AI Specialist Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as an AI Specialist
Align your credentials to specialty occupation standards
USCIS requires your degree field to match the AI Specialist role directly. A computer science or data science degree maps cleanly, but an adjacent degree like mathematics or electrical engineering needs a clear connection to the specific job duties in your offer letter.
Target employers with active LCA filing history
Search the DOL's public LCA disclosure data to identify companies that have already certified AI and machine learning roles. Employers with existing LCAs for similar job titles understand the E-3 process and are far less likely to withdraw an offer over sponsorship concerns.
Frame your E-3 status early in outreach
Many U.S. hiring managers assume Australian candidates need H-1B visa sponsorship and a lottery slot. Clarify upfront that the E-3 requires no lottery, no annual cap wait, and can be processed before your start date without disrupting their hiring timeline.
Use Migrate Mate's E-3 filing service for post-offer paperwork
Once you have a written offer, your employer needs to file a certified LCA with the DOL before you can apply at the consulate. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork so nothing delays your start date.
Secure a support letter detailing AI specialty duties
Ask your employer to write a detailed support letter explaining why the AI Specialist role requires a specialized degree, not just any bachelor's. Vague job descriptions are a common reason consular officers ask follow-up questions at Australian posts.
Book your consulate appointment as soon as the LCA is certified
DOL certifies most LCAs within seven business days. Schedule your visa interview at Sydney, Melbourne, or Perth immediately after certification. Appointment availability varies by post, and delays between certification and scheduling can push back your U.S. start date by weeks.
E-3 Visa AI Specialist: Frequently Asked Questions
How do I find AI Specialist jobs that offer E-3 visa sponsorship?
Search Migrate Mate to filter AI Specialist roles by E-3 sponsorship specifically. Most general job boards don't distinguish between visa types, so you end up filtering manually through roles that only consider H-1B candidates. Migrate Mate surfaces employers who have filed for E-3 or equivalent specialty occupation positions, saving you from outreach that goes nowhere.
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 an AI Specialist role qualify as a specialty occupation for the E-3?
Yes, in most cases. USCIS defines a specialty occupation as one that normally requires a bachelor's degree or higher in a specific field. AI Specialist roles involving machine learning model development, NLP engineering, or computer vision research consistently meet this standard. Roles with vague titles like 'AI generalist' or duties that don't require a specific degree field can be harder to support, so your offer letter's duty description matters.
How does the E-3 compare to H-1B for AI Specialist roles in the U.S.?
The E-3 is available only to Australian nationals, but for those who qualify it has significant practical advantages over the H-1B. There's no annual lottery, no cap, and no waiting for a fiscal year registration window. You can apply for an E-3 any time of year as long as you have a qualifying offer and a certified LCA. H-1B registrations are capped at 85,000 per year and require lottery selection before any petition can even be filed.
Can I change AI Specialist employers on an E-3 visa?
Yes, but each employer change requires a new LCA and a new visa application. Your E-3 is employer-specific, so you can't transfer it to a new company the way some other visa categories allow. If you're already inside the U.S., you can start working for the new employer once the new E-3 is approved at the consulate or via a change of status petition with USCIS.