E-3 Visa Applied AI Engineer Jobs
Applied AI Engineer roles qualify for E-3 visa sponsorship as specialty occupations requiring a relevant bachelor's degree or higher. Australian professionals can secure employer sponsorship without entering a lottery, with visas renewable in two-year increments. The LCA filing and consulate appointment are the two key steps between your offer letter and your U.S. start date.
Find E-3 Visa Applied AI Engineer JobsOverview
Showing 5 of 449+ Applied AI Engineer jobs










See all 449+ Applied AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Applied AI Engineer roles.
Get Access To All Jobs
About Salesforce
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.
Applications will be accepted until 01/31/2027.
About the Role
Our architect team is organized into four domains that together make the platform work for customers: Platform Advantage (why Salesforce, why now), Emerging Tech & UI Innovation (agent execution and dev tooling), Data & AI Excellence (data, semantics, and AI context), and Governance & Trust (identity, security, and audit). This req can land in any of the four, based on where your deepest expertise fits and where the team has the most need at the time of hire.
Across all four domains, the DNA is the same: you lead with the customer's business and technical problem, not a product pitch, you're fluent across Salesforce and its alternatives, and you stay engaged through execution so the work actually lands, not just the recommendation.
Your day-to-day will concentrate in one or two of the following, depending on domain placement:
- Agent Architecture (Platform Advantage / Governance & Trust): orchestration, agent-to-agent interaction, state and memory, guardrails, testing.
- MCP & Capability Architecture (Platform Advantage / Emerging Tech): exposing business capabilities for agents to discover and act on, not just raw objects.
- Data 360 & Semantic Architecture (Data & AI Excellence): unified customer data, semantic layers, and the context AI needs to be useful.
- Headless & Composable Architecture (Platform Advantage / Emerging Tech): APIs, headless experiences, and composable extensions of Salesforce beyond the standard UI.
- AI-Assisted Development (Emerging Tech): coding assistants, reviewing AI-generated work, dev lifecycle and quality practices.
- AI Governance & Security (Governance & Trust): identity and permissions, data access, agent authority, human-in-the-loop controls, audit.
Regardless of domain, you'll also:
- Work collaboratively across multiple pre and post sale teams.
- Align C-suite stakeholders around a shared view of a business problem and map it to a capability someone can act on.
- Help resolve platform-fit ambiguity for customers facing conflicting internal recommendations or a troubled prior rollout.
- Name ambiguity and route it explicitly to the right domain rather than letting unclear work default to whoever's in the room.
What We're Looking For
Required:
- 5+ years in enterprise or solutions architecture, with direct experience influencing senior technical and business stakeholders.
- Experience with AI tooling to build solutions, learn new skills, and be more efficient with your job.
- Deep, credible expertise in at least one of the six focus areas above, deep enough to be the final word in a room, not conversational familiarity.
- Fluency across the Salesforce platform or at least one major alternative / adjacent technology relevant to your focus area.
- A track record of staying engaged through delivery, including recovering stalled or politically stuck work.
- B.S., M.S. or PhD in Computer Science, Software Engineering or MIS.
Preferred:
- Working knowledge of a second focus area above, enough to know when to hand off rather than overreach.
- Experience untangling a failed or stalled enterprise rollout (data, MDM, platform, or AI) for a customer.
- Strong visual communication skills for architecture storytelling.
Domain Placement
Final domain assignment (Platform Advantage, Emerging Tech & UI Innovation, Data & AI Excellence, or Governance & Trust) is determined during the interview process based on demonstrated depth and current team need, not fixed at the time of posting.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
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.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.
The typical base salary range for this position is $148,190 - $198,170 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 $162,960 - $217,980 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.
See all 449+ E-3 Visa Applied AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Applied AI Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as an Applied AI Engineer
Frame your CV for U.S. specialty occupation standards
U.S. employers assess whether your role meets DOL's specialty occupation definition. List your degree field explicitly and align your job titles to U.S. equivalents like Machine Learning Engineer or AI Research Engineer to avoid ambiguity during LCA review.
Target employers with active LCA filing histories
Search DOL's Office of Foreign Labor Certification disclosure data to identify companies that have already filed LCAs for AI or software engineering roles. Prior LCA activity signals familiarity with E-3 visa sponsorship, which shortens the internal approval process.
Address E-3 eligibility before your offer stage
Raise your Australian citizenship and E-3 eligibility during late-round interviews, not after the offer. Many hiring managers confuse E-3 with H-1B visa and assume a lottery is involved. Clarifying upfront removes a common objection before it becomes a deal-breaker.
Use Migrate Mate's E-3 filing service for end-to-end support
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA submission with DOL and prepare your full consulate package. This avoids the documentation gaps that cause delays at Sydney, Melbourne, or Perth appointments.
Confirm your employer's E-Verify enrollment before accepting
E-Verify enrollment is not required for most E-3 sponsors, but some large federal contractors mandate it. Verify your prospective employer's compliance status with E-Verify before signing an offer to avoid onboarding complications after your visa is issued.
Prepare documentation for an AI-specific specialty occupation case
Applied AI roles can attract consular scrutiny if the job description reads as general software development. Bring your offer letter, degree transcripts, and a detailed role description that ties your AI engineering tasks to your specific academic background at your consulate appointment.
E-3 Visa Applied AI Engineer: Frequently Asked Questions
How do I find Applied AI Engineer jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for U.S. roles that include E-3 visa sponsorship. You can filter by job title and see which employers have E-3 or LCA filing history, so you're targeting companies already set up to sponsor rather than educating every recruiter from scratch.
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 Applied AI Engineer role qualify as a specialty occupation for the E-3?
Yes, provided the position requires a bachelor's degree or higher in a directly related field such as computer science, artificial intelligence, or machine learning. Roles that accept any degree discipline or treat the degree as optional may not meet DOL's specialty occupation standard. Your offer letter and job description need to reflect a specific degree requirement to support the LCA.
How does the E-3 compare to H-1B for Applied AI Engineer positions?
The E-3 has no lottery and no annual cap, so you can apply at any time of year once you have a job offer. H-1B registrations are entered into a lottery each March with approximately 85,000 slots for the entire cap-subject pool. For Australian AI engineers, the E-3 eliminates the uncertainty that makes H-1B sponsorship a multi-year gamble for both you and your employer.
Can I switch employers on an E-3 while working in the U.S. as an Applied AI Engineer?
Yes, but each employer change requires a new LCA filing and a new E-3 visa or change of status. You cannot port an E-3 the way some other visa categories allow. If you're already in the U.S., your new employer must have a certified LCA before you start work, and you'll need to either apply at a consulate or file for a change of status with USCIS.