E-3 Visa AI Solutions Engineer Jobs
AI Solutions Engineer 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 nationals can secure two-year work authorization with no lottery and no annual cap, making this one of the most direct paths to U.S.-based AI work.
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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.
The opportunity
Salesforce AI Labs brings together AI-native businesses and software companies evolving toward agentic business models. Each has distinctive strengths, customers, and a focused go-to-market strategy. Our opportunity is to connect these capabilities into new ways for customers to operate, respond, and grow.
We are building a small team of hands-on technology builders who can turn that opportunity into working software and compelling business stories. You will connect products, models, agents, and data into demonstrable solutions—and help customers and executives understand their value.
This is a senior individual-contributor role combining software engineering, applied AI, solution architecture, and storytelling. You will move comfortably from a customer problem to code, from an API integration to a live demonstration, and from technical detail to an executive conversation.
Your mission
Build and demonstrate how capabilities across the Salesforce AI Labs portfolio can work together to deliver measurable customer outcomes faster.
You will show what customers can achieve with current capabilities, explore what becomes possible through new combinations, and make the path between the two clear.
What you will do
- Build connected solutions. Create working prototypes, API integrations, and agent workflows spanning multiple products and enterprise systems.
- Start with the business problem. Work with customers, portfolio leaders, and go-to-market teams to identify use cases where combining capabilities produces meaningful additional value.
- Create compelling demonstrations. Develop reliable, repeatable experiences that make complex technology understandable and show a clear connection between customer needs, system actions, and business results.
- Tell the story at every level. Present to executives, customers, developers, and sales teams, adapting the depth while preserving technical credibility.
- Explore the next opportunity. Use rapid experimentation to test new agentic experiences and architectures. Clearly distinguish available capabilities, working prototypes, and future concepts.
- Make the work reusable. Package reference architectures, integration components, demo environments, and playbooks that other teams can adopt.
- Measure value and speed. Establish baselines and evaluate outcomes such as implementation time, process cycle time, cost to serve, service resolution, and customer experience.
- Connect learning to product decisions. Surface integration gaps, customer demand, and technical constraints to product and engineering leaders, with evidence from what you build.
What you bring
- A track record of personally building customer-facing software, integrations, or technical prototypes that solve real business problems.
- Strong coding skills in Python, TypeScript/JavaScript, or comparable languages, with the ability to build and debug across services and a usable demonstration interface.
- Fluency in modern API architectures, including authentication, webhooks, event-driven integration, data contracts, and reliable execution across systems.
- Practical experience building with models and tools from providers such as OpenAI and Anthropic, alongside relevant open-source agent frameworks and harnesses.
- Understanding of tool calling, retrieval, orchestration, context management, evaluations, observability, and human approval within agent workflows.
- Sound judgment about model limitations, reliability, latency, cost, data access, and the requirements for moving from prototype to customer deployment.
- Strong storytelling and presentation skills, including the ability to deliver a live demonstration and explain its business significance.
- The initiative to work through ambiguity, learn unfamiliar products quickly, and ship useful iterations with a small team.
- The ability to turn a broad ambition into a testable use case with a credible path to customer value.
Experience that would be especially useful
- Forward-deployed engineering, applied AI engineering, solutions engineering, or customer-facing solution architecture.
- Building demonstrations or proofs of value involving multiple enterprise products.
- Process intelligence, workflow automation, customer research, customer service, or digital experience platforms.
- Creating reusable technical assets that support several customers or go-to-market teams.
- Startup or founding-engineer experience with direct customer engagement.
What success could look like in the first 90 days
These are proposed initial outcomes, to be calibrated to product access and team capacity:
- First 30 days: Understand the portfolio, map integration opportunities, and select two high-value customer scenarios with business sponsors and measurable outcomes.
- By 60 days: Deliver one working demonstration across multiple products, with a clear story, documented dependencies, and an initial evaluation of reliability and value.
- By 90 days: Validate the scenario with customer or field teams; package it for reuse; and propose the next build priorities based on evidence.
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 $215,250 - $287,910 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 $236,810 - $316,750 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 486+ E-3 Visa AI Solutions Engineer Jobs
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as an AI Solutions Engineer
Align your credentials to specialty occupation standards
Your degree must directly relate to AI solutions engineering, not just tech broadly. A computer science or software engineering degree maps cleanly; an unrelated field requires documented equivalency through work experience at a three-to-one substitution ratio before you apply.
Target employers with active LCA filing histories
Search the DOL's Office of Foreign Labor Certification disclosure data for employers who have filed LCAs under SOC codes tied to software and AI roles. Repeated filings signal a company already has an internal process for E-3 visa sponsorship, reducing your onboarding friction.
Find AI Solutions Engineer roles using Migrate Mate
Use Migrate Mate to search AI Solutions Engineer positions filtered by E-3 sponsorship history. Then use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork once an offer is in hand, covering everything from DOL certification to consulate preparation.
Clarify the LCA scope before accepting your offer
The LCA locks in your job title, work location, and prevailing wage level. If your role involves client sites or multiple offices, confirm those locations are listed before signing, because amending the LCA after filing adds weeks and can delay your consulate appointment.
Distinguish E-3 from H-1B when briefing HR
Many U.S. hiring managers assume all work visas require lottery entry. Tell HR explicitly that the E-3 has no lottery, no cap, and requires only a certified LCA plus a consulate appointment, so there's no April registration deadline holding up your start date.
Prepare your portfolio for specialty occupation scrutiny
Consular officers assess whether the role genuinely requires a specialized degree. Bring a detailed job offer letter that lists the technical requirements, your Australian academic transcripts, and any certifications in machine learning frameworks or cloud AI platforms relevant to the position.
E-3 Visa AI Solutions Engineer: Frequently Asked Questions
How do I find AI Solutions Engineer jobs with E-3 visa sponsorship?
Migrate Mate lets you search AI Solutions Engineer roles filtered specifically by E-3 sponsorship, so you're not cold-applying to employers unfamiliar with the visa. Because the E-3 has no lottery and no annual cap, employers face far less process risk than with an H-1B visa, which makes sponsorship conversations easier once you identify the right companies.
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 Solutions Engineer role qualify as a specialty occupation for E-3 purposes?
Yes, provided the position requires a bachelor's degree or higher in a specific technical field such as computer science, software engineering, or artificial intelligence. Roles that accept any degree as a baseline, or that describe the degree as preferred rather than required, can face scrutiny at the consulate, so the offer letter's language matters significantly.
How does the E-3 visa compare to the H-1B for AI Solutions Engineer roles?
The H-1B is subject to an annual cap of 85,000 slots and a randomized lottery, meaning a qualified AI engineer can be locked out for years purely by chance. The E-3 has a 10,500 annual allocation reserved exclusively for Australian nationals that has never been exhausted, so approval depends on your qualifications and the role's merit, not lottery luck.
Can I change employers or roles after entering the U.S. on an E-3?
You can change employers, but each new position requires a fresh LCA certified by the DOL and a new E-3 visa stamp obtained at a consulate or, in some cases, a change of status filed with USCIS. The new LCA must reflect the updated job title, duties, and worksite location, so start that process before your last day with your current employer.