E-3 Visa Senior AI Software Engineer Jobs
Senior AI Software Engineer roles qualify for E-3 visa sponsorship as specialty occupations requiring a relevant bachelor's degree or higher. Australian nationals can secure two-year E-3 status with no lottery and renew indefinitely, making this one of the most direct paths to long-term U.S. employment in machine learning and AI infrastructure.
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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. The Risk Tech engineering organization is committed to tangibly reducing accident frequency, saving lives, and managing costs to enhance the safety and affordability of rides. Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, financial reserves, regulatory processes, and significant financial liabilities. This role offers the opportunity to define a leading claims management system for the industry. Our vision is to establish a single, Unified Risk Platform where comprehensive claims workflows across all business lines are efficiently administered, communications are consolidated, and data is structured to facilitate data-driven insights and decisions. This enables cost-efficient claims operations, mitigates risks and expenses as Lyft scales, and ensures people receive assistance proactively and accurately. We are seeking a Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with passionate colleagues from Engineering, Data Science, Product and Claim Operations to deliver end-to-end solutions.
Responsibilities:
- Define and drive the long-term technical roadmap for claims management systems, aligning priorities with Product, Claim Operations, Data Science, and other stakeholders.
- Provide architectural leadership, make informed design tradeoffs, and guide strategic decisions across multiple engineering teams.
- Understand claim handling workflows, identify bottlenecks and multiply their productivity by driving platform innovations and resolving pain points with AI automation solutions.
- Deliver scalable, reliable, high quality and well-tested solutions and code.
- Collaborate closely with Lyft internal teams and external insurance partners to ensure technical alignment and scalable integrations.
- Lead code reviews, design reviews, production on-call support and incident triaging process.
- Invest in the engineering community through knowledge sharing via brown bags, tech talks, and suggesting improvements to team processes and engineering practices.
Experience:
- B.S., M.S. in Computer Science or related technical field or relevant work experience.
- 6+ years of professional experience building scalable distributed systems with high availability, observability and reliability requirements.
- Proven ability to build end-to-end products and platforms, collaborating effectively with various stakeholders e.g. Backend, Frontend, Data Engineering, Data Science, Claim Operations, and Product teams.
- Strong ability to reason about tradeoffs in system design, architecture, domain modeling, and operational cost.
- Experience driving AI adoption or automation initiatives to improve operational efficiency.
- Proficiency in Python. Knowledge of React/Next.js and data analysis is a plus.
- Experience with data processing frameworks and tools like Spark, Kafka, Airflow and cloud provisioning environments etc.
- Strong oral and written interpersonal skills.
- Prior experience in insurance, claims management, workflow orchestration or external vendors is a strong plus.
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.
LOCATION:
The expected base pay range for this position in the Seattle area is $136,160 - $170,200, 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.

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. The Risk Tech engineering organization is committed to tangibly reducing accident frequency, saving lives, and managing costs to enhance the safety and affordability of rides. Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, financial reserves, regulatory processes, and significant financial liabilities. This role offers the opportunity to define a leading claims management system for the industry. Our vision is to establish a single, Unified Risk Platform where comprehensive claims workflows across all business lines are efficiently administered, communications are consolidated, and data is structured to facilitate data-driven insights and decisions. This enables cost-efficient claims operations, mitigates risks and expenses as Lyft scales, and ensures people receive assistance proactively and accurately. We are seeking a Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with passionate colleagues from Engineering, Data Science, Product and Claim Operations to deliver end-to-end solutions.
Responsibilities:
- Define and drive the long-term technical roadmap for claims management systems, aligning priorities with Product, Claim Operations, Data Science, and other stakeholders.
- Provide architectural leadership, make informed design tradeoffs, and guide strategic decisions across multiple engineering teams.
- Understand claim handling workflows, identify bottlenecks and multiply their productivity by driving platform innovations and resolving pain points with AI automation solutions.
- Deliver scalable, reliable, high quality and well-tested solutions and code.
- Collaborate closely with Lyft internal teams and external insurance partners to ensure technical alignment and scalable integrations.
- Lead code reviews, design reviews, production on-call support and incident triaging process.
- Invest in the engineering community through knowledge sharing via brown bags, tech talks, and suggesting improvements to team processes and engineering practices.
Experience:
- B.S., M.S. in Computer Science or related technical field or relevant work experience.
- 6+ years of professional experience building scalable distributed systems with high availability, observability and reliability requirements.
- Proven ability to build end-to-end products and platforms, collaborating effectively with various stakeholders e.g. Backend, Frontend, Data Engineering, Data Science, Claim Operations, and Product teams.
- Strong ability to reason about tradeoffs in system design, architecture, domain modeling, and operational cost.
- Experience driving AI adoption or automation initiatives to improve operational efficiency.
- Proficiency in Python. Knowledge of React/Next.js and data analysis is a plus.
- Experience with data processing frameworks and tools like Spark, Kafka, Airflow and cloud provisioning environments etc.
- Strong oral and written interpersonal skills.
- Prior experience in insurance, claims management, workflow orchestration or external vendors is a strong plus.
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.
LOCATION:
The expected base pay range for this position in the Seattle area is $136,160 - $170,200, 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 a Senior AI Software Engineer
Frame your portfolio for specialty occupation
DOL requires your role to meet the specialty occupation standard. Structure your resume to show degree-level AI expertise, not just project outcomes. Titles like 'Senior AI Software Engineer' supported by ML research or architecture work strengthen this case.
Target employers with active LCA filings
Focus on companies that have filed Labor Condition Applications for AI or software engineering roles before. Prior LCA activity means their HR and legal teams already understand the E-3 process, reducing the risk of a sponsorship falling through at offer stage.
Address the degree equivalency question early
Australian three-year bachelor's degrees are generally accepted as equivalent to a U.S. four-year degree for E-3 purposes, but get a credential evaluation done before interviews. Having documentation ready avoids delays when an employer's legal team asks.
Clarify E-3 costs before signing an offer
Your employer pays the LCA filing and most government fees. Confirm during negotiation that they'll cover these costs. Some smaller AI startups are unfamiliar with this split and may initially push fees onto you, which is atypical for E-3.
Use Migrate Mate's E-3 filing service for the paperwork
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end. This is especially useful for AI roles where the specialty occupation framing in the LCA needs to align precisely with your job duties.
Book your consulate appointment before your start date locks in
E-3 visas are issued at Australian consulates, not through USCIS. Appointment wait times vary by location and season. Confirm your consulate slot is available before you and your employer agree on a U.S. start date to avoid rescheduling conflicts.
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Find Senior AI Software Engineer JobsSenior AI Software Engineer E-3 Visa: Frequently Asked Questions
How do I find Senior AI Software Engineer jobs with E-3 visa sponsorship?
Migrate Mate is the most direct way to search for Senior AI Software Engineer roles where employers are already open to E-3 sponsorship. Filtering by visa type saves time compared to applying broadly and raising the sponsorship question late in the process. Focus your search on companies with prior LCA filing history in AI and software engineering.
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 Senior AI Software Engineer qualify as a specialty occupation for the E-3?
Yes. Senior AI Software Engineer roles consistently qualify as specialty occupations because they require a theoretical and practical application of highly specialized knowledge, typically in computer science, machine learning, or a related engineering field. Your job duties and the employer's position description both need to reflect this degree-level requirement clearly in the LCA.
How does the E-3 compare to the H-1B for AI engineering roles?
The E-3 has no annual cap and no lottery, so Australian nationals can apply year-round and start work as soon as their visa is issued. H-1B requires entering a lottery with roughly a one-in-four selection rate, and most registrants must wait until October 1 of the following fiscal year to begin work. For Senior AI Software Engineer roles, the E-3 is a significantly faster and more predictable path.
Can I change employers while on an E-3 as a Senior AI Software Engineer?
Yes, but you need a new LCA and visa stamp tied to the new employer before starting work. Your current E-3 is employer-specific. If you're already in the U.S., you can begin working for a new employer once the new LCA is certified and your consulate appointment is confirmed. There's no formal portability rule for E-3 the way there is for H-1B under AC21.
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