E-3 Visa AI Data Specialist Jobs
AI Data Specialist roles in machine learning, data pipelines, and model deployment qualify as E-3 specialty occupations, making Australian professionals eligible for visa sponsorship without entering the H-1B lottery. The E-3 renews indefinitely in two-year increments, so your authorization grows with your career.
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Get Access To All JobsINTRODUCTION
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Salesforce is hiring an AI & Data Integration Specialist to join our Global Public Sector Solution Engineering team. The AI revolution is a data evolution, and this critical role sits at the forefront of making agentic AI a reality for our customers.
As a specialist, you are more than a technical expert—you are a strategic architectural partner who consolidates expertise across MuleSoft (Integration), Tableau (Analytics), Data Cloud (Unified Data Management), and agentic AI to solve complex data and AI challenges.
You will serve as the single point of contact for sales teams, ensuring every data and AI opportunity is handled by a specialist who thinks like an architect, draws on prior hands-on delivery experience, and communicates outcomes and impacts in the voice of the business user and mission owner. You will be a vital contributor to the success of our agency customers by conducting holistic discovery, reframing the “data-to-agentic-AI journey,” and designing compliant, AI-ready architectures that deliver actionable insights from disparate silos while enabling intelligent, autonomous agents.
In this role, you will bridge the gap between legacy system connectivity and modern mission outcomes, acting as a trusted advisor who can navigate everything from API management and real-time data unification to advanced analytics and the deployment strategy for intelligent agentic systems.
ROLE AND RESPONSIBILITIES
What you get working for the AI & Data Integration SE Team:
- A Unified Mission: Work in a specialized team that eliminates fragmented resource requests by owning the entire data-to-AI lifecycle.
- Outcome-First Leadership: Opportunities to lead high-impact discovery sessions that start with agency mission outcomes (e.g., operational readiness, intelligence fusion, logistics modernization) rather than product features.
- Strategic Growth: Support from leaders committed to your mastery of the “Data 360 + Agentic AI” vision, including integration, analytics, unified data management, and intelligent agentic capabilities.
- Innovation at Scale: Work for the #1 AI CRM company, building the trusted data foundations and agentic architectures required for the next generation of autonomous AI agents that accelerate outcomes.
BASIC QUALIFICATIONS
Qualifications you’ll need to be successful:
- Architectural Mindset: Design secure, composable architectures that scale within highly regulated Public Sector environments (including FedRAMP High and Impact Level 4/5/6).
- Multi-Platform Technical Depth: Previous hands-on experience or deep conceptual knowledge across Integration (MuleSoft), Data Analytics (Tableau), Unified Data Management (Data Cloud), and agentic AI platforms. A qualified candidate will have expertise in no less than two of the core data/integration capabilities plus demonstrated prior experience with agentic AI; a great candidate will have exposure across all.
- Agentic AI Experience: Demonstrated experience (2+ years is highly valued) with agentic AI solutions, including prior hands-on work designing or deploying intelligent agents, LLM integration strategies, orchestration frameworks, prompt engineering, and Retrieval-Augmented Generation (RAG) patterns.
- Strategic Communication: Excellent ability to reframe technical challenges into mission and business value for C-level government executives and technical stakeholders alike.
- AI Readiness: Deep understanding of “Trusted Context Foundations” for AI, including data grounding, metadata intelligence, and how unified data enables reliable agentic workflows.
- Collaboration & Influence: Proven ability to partner early with Account Executives to drive sales strategy and lead “Data + Agentic AI Discovery” from day one.
- Experience: Minimum of 5 years of professional experience in Solution Engineering, Enterprise Architecture, or Digital Transformation, with previous hands-on delivery experience in AI/data/integration projects.
- Technical Foundations: Degree in Computer Science/IT or equivalent; prior experience with APIs, cloud infrastructure (AWS, Azure, GCP), and modern development practices is preferred.
PREFERRED QUALIFICATIONS
- Certifications: One or more of the following: MuleSoft Certified Architect, Tableau Desktop/Server Specialist, Salesforce Data Cloud Consultant, AI Associate credentials, or equivalent.
- Industry Knowledge: Deep understanding of Public Sector/DoD compliance (FedRAMP/IL5/6) and common government data silos.
- Ecosystem Expertise: Familiarity with advanced data governance and MDM tools, plus prior exposure to agentic AI frameworks or orchestration patterns in past implementations.
- Regulated Industry Experience: Background delivering AI solutions in highly regulated or mission-critical environments.
WHAT YOU’LL ACHIEVE
3 months:
- Master the Stack: Complete intensive “Astro” courses and certification paths for MuleSoft Anypoint Platform, Data Cloud, Tableau, and agentic AI capabilities.
- Build Your Point of View: Align with the GTM Plan and begin building your “Data-to-Agentic AI Journey” whiteboarding and workshop skills.
- Shadow & Learn: Join active Public Sector engagements to observe how the specialist leads discovery and architects multi-product AI + data solutions.
12 months:
- Own the Technical Win: Serve as the lead architect on complex, multi-cloud data and agentic AI opportunities, delivering higher win rates and faster deal cycles.
- Evangelize the Vision: Execute high-impact architectural workshops and “Stand & Deliver” sessions that showcase the power of unified data as the foundation for trustworthy intelligent agents.
- Enable the Ecosystem: Mentor account teams and partners on how to position “Data + Integration + Agentic AI” as the foundation for mission transformation.
- Drive Mission Outcomes: Successfully architect solutions that unify citizen/operational data, modernize legacy systems, enable real-time analytics, and deploy agentic AI capabilities that accelerate decision-making and operational excellence.
COMPENSATION
The typical base salary range for this position is $134,750 - $210,910 annually.
There is a different range applicable to specific work locations. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $148,190 - $231,980 per year. Your recruiter can share more about the specific salary range for the job location during the hiring process.
The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
ACCOMMODATIONS
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
POSTING STATEMENT
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
INTRODUCTION
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Salesforce is hiring an AI & Data Integration Specialist to join our Global Public Sector Solution Engineering team. The AI revolution is a data evolution, and this critical role sits at the forefront of making agentic AI a reality for our customers.
As a specialist, you are more than a technical expert—you are a strategic architectural partner who consolidates expertise across MuleSoft (Integration), Tableau (Analytics), Data Cloud (Unified Data Management), and agentic AI to solve complex data and AI challenges.
You will serve as the single point of contact for sales teams, ensuring every data and AI opportunity is handled by a specialist who thinks like an architect, draws on prior hands-on delivery experience, and communicates outcomes and impacts in the voice of the business user and mission owner. You will be a vital contributor to the success of our agency customers by conducting holistic discovery, reframing the “data-to-agentic-AI journey,” and designing compliant, AI-ready architectures that deliver actionable insights from disparate silos while enabling intelligent, autonomous agents.
In this role, you will bridge the gap between legacy system connectivity and modern mission outcomes, acting as a trusted advisor who can navigate everything from API management and real-time data unification to advanced analytics and the deployment strategy for intelligent agentic systems.
ROLE AND RESPONSIBILITIES
What you get working for the AI & Data Integration SE Team:
- A Unified Mission: Work in a specialized team that eliminates fragmented resource requests by owning the entire data-to-AI lifecycle.
- Outcome-First Leadership: Opportunities to lead high-impact discovery sessions that start with agency mission outcomes (e.g., operational readiness, intelligence fusion, logistics modernization) rather than product features.
- Strategic Growth: Support from leaders committed to your mastery of the “Data 360 + Agentic AI” vision, including integration, analytics, unified data management, and intelligent agentic capabilities.
- Innovation at Scale: Work for the #1 AI CRM company, building the trusted data foundations and agentic architectures required for the next generation of autonomous AI agents that accelerate outcomes.
BASIC QUALIFICATIONS
Qualifications you’ll need to be successful:
- Architectural Mindset: Design secure, composable architectures that scale within highly regulated Public Sector environments (including FedRAMP High and Impact Level 4/5/6).
- Multi-Platform Technical Depth: Previous hands-on experience or deep conceptual knowledge across Integration (MuleSoft), Data Analytics (Tableau), Unified Data Management (Data Cloud), and agentic AI platforms. A qualified candidate will have expertise in no less than two of the core data/integration capabilities plus demonstrated prior experience with agentic AI; a great candidate will have exposure across all.
- Agentic AI Experience: Demonstrated experience (2+ years is highly valued) with agentic AI solutions, including prior hands-on work designing or deploying intelligent agents, LLM integration strategies, orchestration frameworks, prompt engineering, and Retrieval-Augmented Generation (RAG) patterns.
- Strategic Communication: Excellent ability to reframe technical challenges into mission and business value for C-level government executives and technical stakeholders alike.
- AI Readiness: Deep understanding of “Trusted Context Foundations” for AI, including data grounding, metadata intelligence, and how unified data enables reliable agentic workflows.
- Collaboration & Influence: Proven ability to partner early with Account Executives to drive sales strategy and lead “Data + Agentic AI Discovery” from day one.
- Experience: Minimum of 5 years of professional experience in Solution Engineering, Enterprise Architecture, or Digital Transformation, with previous hands-on delivery experience in AI/data/integration projects.
- Technical Foundations: Degree in Computer Science/IT or equivalent; prior experience with APIs, cloud infrastructure (AWS, Azure, GCP), and modern development practices is preferred.
PREFERRED QUALIFICATIONS
- Certifications: One or more of the following: MuleSoft Certified Architect, Tableau Desktop/Server Specialist, Salesforce Data Cloud Consultant, AI Associate credentials, or equivalent.
- Industry Knowledge: Deep understanding of Public Sector/DoD compliance (FedRAMP/IL5/6) and common government data silos.
- Ecosystem Expertise: Familiarity with advanced data governance and MDM tools, plus prior exposure to agentic AI frameworks or orchestration patterns in past implementations.
- Regulated Industry Experience: Background delivering AI solutions in highly regulated or mission-critical environments.
WHAT YOU’LL ACHIEVE
3 months:
- Master the Stack: Complete intensive “Astro” courses and certification paths for MuleSoft Anypoint Platform, Data Cloud, Tableau, and agentic AI capabilities.
- Build Your Point of View: Align with the GTM Plan and begin building your “Data-to-Agentic AI Journey” whiteboarding and workshop skills.
- Shadow & Learn: Join active Public Sector engagements to observe how the specialist leads discovery and architects multi-product AI + data solutions.
12 months:
- Own the Technical Win: Serve as the lead architect on complex, multi-cloud data and agentic AI opportunities, delivering higher win rates and faster deal cycles.
- Evangelize the Vision: Execute high-impact architectural workshops and “Stand & Deliver” sessions that showcase the power of unified data as the foundation for trustworthy intelligent agents.
- Enable the Ecosystem: Mentor account teams and partners on how to position “Data + Integration + Agentic AI” as the foundation for mission transformation.
- Drive Mission Outcomes: Successfully architect solutions that unify citizen/operational data, modernize legacy systems, enable real-time analytics, and deploy agentic AI capabilities that accelerate decision-making and operational excellence.
COMPENSATION
The typical base salary range for this position is $134,750 - $210,910 annually.
There is a different range applicable to specific work locations. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $148,190 - $231,980 per year. Your recruiter can share more about the specific salary range for the job location during the hiring process.
The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
ACCOMMODATIONS
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
POSTING STATEMENT
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
See all 10+ AI Data Specialist jobs
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as an AI Data Specialist
Frame your degree field precisely
Consular officers assess whether your bachelor's degree field directly supports AI or data work. A degree in statistics, computer science, or mathematics maps cleanly. Information systems or engineering degrees qualify with the right role framing in your offer letter.
Target employers with active LCA filings
Search DOL's Foreign Labor Application Gateway for employers who have filed LCAs for data scientist or machine learning roles. Companies with recent certified LCAs already understand the E-3 process, which shortens your negotiation and onboarding timeline significantly.
Clarify remote and hybrid work arrangements early
Your LCA must list a specific worksite. If the role is hybrid or your employer has multiple offices, confirm which location appears on the LCA before filing. A mismatch between your actual work location and the certified LCA address creates compliance problems for your employer.
Get your employer to file the LCA first
The LCA must be DOL-certified before you can attend your consular appointment. Employers unfamiliar with E-3 sometimes assume you handle this step. Confirm with HR that the LCA is submitted to DOL and certified before you schedule your embassy interview in Sydney, Melbourne, or Perth.
Use Migrate Mate's E-3 filing service for end-to-end support
Once you have a job offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork from offer to consulate appointment. This matters most when your employer's HR team lacks E-3 experience, which is common outside major tech hubs.
Request specialty occupation documentation from your employer
Consular officers can question whether AI Data Specialist roles require a specific degree, especially at smaller companies. Ask your employer to prepare a brief written explanation tying the role's technical duties directly to your field of study before your interview.
AI Data Specialist jobs are hiring across the US. Find yours.
Find AI Data Specialist JobsAI Data Specialist E-3 Visa: Frequently Asked Questions
Where can I find AI Data Specialist jobs that offer E-3 visa sponsorship?
Migrate Mate lists AI Data Specialist roles at companies with confirmed E-3 sponsorship history, so you're not cold-applying and hoping for the best. Filtering by visa type saves significant time compared to searching general job boards where sponsorship status is rarely disclosed upfront.
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 Data Specialist role qualify as a specialty occupation for the E-3?
Yes, provided the role requires a bachelor's degree or higher in a specific technical field such as computer science, data science, statistics, or a closely related discipline. Roles framed as general data analysis or business intelligence carry more scrutiny than positions explicitly requiring machine learning or engineering expertise. Your offer letter should state the degree requirement clearly.
How does the E-3 compare to the H-1B for Australian AI Data Specialists?
The E-3 has a 10,500 annual cap that has never been exhausted, so there's no lottery and no annual wait. You can apply any time you have a job offer. The H-1B runs a random lottery with roughly a one-in-four selection rate. For Australian nationals, the E-3 is a far more predictable path into U.S. AI and data roles.
Can I switch employers after entering the U.S. on an E-3?
Yes, but your E-3 status is tied to your sponsoring employer. When you change jobs, your new employer must file a fresh LCA with DOL and you'll need a new E-3 visa stamp before your next international trip. You can continue working for the new employer while the LCA is processed, provided your current visa is still valid.
See which AI Data Specialist employers are hiring and sponsoring visas right now.
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