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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INTRODUCTION
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
We are looking for a hands-on applied AI lead to build on that foundation and help take Lyft Marketing into its next phase of AI transformation. This role will sit directly within the Marketing organization and partner closely with Creative, Growth, Brand, Media, Product Marketing, Marketing Operations, Legal, IT, Security, and external agency partners to identify high-impact opportunities, build practical AI-powered solutions, and embed new ways of working across the team.
The ideal candidate is both a builder and an operator. They can understand complex marketing workflows, identify where AI and automation can reduce friction, and then design, prototype, launch, and scale solutions that teams actually adopt. This person should be comfortable working across tools, systems, and stakeholders, while also rolling up their sleeves to build internal AI agents, automations, templates, playbooks, and enablement materials.
Success in this role will be measured by the quality, adoption, and business impact of the AI solutions delivered, including time saved, reduction in manual work, improved creative and campaign throughput, increased reuse of workflows and templates, and stronger AI capability across the Marketing organization.
Responsibilities:
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Applied AI Strategy & Solutioning for Marketing
- Build on Lyft Marketing's existing AI foundation by identifying the next wave of high-impact AI and automation opportunities across Creative, Growth, Brand, Media, Product Marketing, and Marketing Operations.
- Partner with marketing teams to evaluate manual, repetitive, or inefficient workflows and determine where AI tools, agents, automations, or process redesign can improve speed, quality, and scalability.
- Translate marketing needs into clear problem statements, success metrics, workflows, and solution requirements before moving into build and implementation.
- Serve as the embedded AI expert for Marketing, helping teams understand what is possible, what is practical, and where AI can create real operational leverage.
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Hands-On Building & Implementation
- Design, prototype, and launch internal AI-powered tools, agents, automations, and workflows that support marketing use cases such as campaign planning, creative briefs, research, asset production, localization, QA, reporting, intake, and launch readiness.
- Integrate AI workflows into the tools and systems Marketing already uses, such as project management platforms, creative tools, DAMs, collaboration tools, data analytics systems, and automation platforms.
- Create scalable templates, prompt systems, reusable workflows, and internal playbooks that allow teams to move faster while maintaining brand, legal, and operational standards.
- Work closely with IT, Security, Legal, and Data teams to ensure AI workflows are secure, compliant, and aligned with Lyft's internal policies.
- Democratize data access needs for Marketers through integrations.
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Marketing Enablement & Adoption
- Lead AI enablement for the Marketing organization through hands-on training, team workshops, office hours, documentation, and practical "how-to" guides.
- Help teams adopt GenAI-first ways of working by pairing directly with marketers, creatives, operators, and agency partners on real workflows.
- Drive measurable adoption of AI tools and workflows by tracking usage, time savings, quality improvements, team feedback, and reuse across marketing functions.
- Build confidence and capability across the organization so more marketing team members can safely and effectively use AI in their day-to-day work.
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Operating Model, Governance & Scale
- Develop a repeatable intake, prioritization, and delivery model for AI use cases across Marketing.
- Create standards for evaluating new AI opportunities, including business value, effort, risk, scalability, and adoption potential.
- Document solutions in a way that supports reuse, maintenance, and long-term scalability across teams.
- Partner with Marketing leadership to report on progress, impact, risks, and future opportunities for AI transformation.
- Develop governance frameworks including international governance best practices.
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Cross-Functional Partnership
- Work across Marketing, Creative, Growth, Product, Legal, IT, Security, Procurement, and external vendors to ensure AI solutions are practical, secure, and aligned with Lyft's broader business goals.
- Partner with creative and agency teams to identify where AI can improve production workflows, reduce manual execution, and unlock more efficient content development.
- Collaborate with Marketing Operations to connect AI workflows into existing campaign planning, intake, review, approval, and launch processes.
DESIRED EXPERIENCE
- 1-2 years of AI enablement experience, ideally within a technology company and/or a marketing team
- Experience vetting, piloting and implementing multiple AI tools
- Experience in IC roles that require influence without authority
- Experience in matrixed organization
- Self-starter
NICE TO HAVE:
- Client-facing experience
- Marketing program management experience
- Explicit experience with: Airtable, Weavy, and Figma
BENEFITS:
- Great medical, dental, and vision insurance options with additional programs available when enrolled
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- 401(k) plan with company match to help save for your future
- In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
- Subsidized commuter benefits
- Monthly Lyft credits and complimentary Lyft Pink membership
Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the New York City area is $108,000 - $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
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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.