Green Card Software Engineer AI Jobs
Software Engineer AI roles at U.S. companies regularly qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process. Employers file a PERM application with DOL before petitioning USCIS via I-140, starting your path to permanent residency. Finding employers with active sponsorship history is the first step toward securing your offer.
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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.
Applications will be accepted until 10/12/2026.
Please note for the right person, we would consider a fully remote employee
Please only apply if you have some of the UX skills listed, this is a combination UX/AI/Agentic Engineering role
ROLE AND RESPONSIBILITIES
We’re hiring a senior engineer for a rare systems-to-interface role: someone who understands data-intensive and distributed systems deeply, but is equally motivated by information design, visualization, and UX. This person will own both control-plane and telemetry experiences in a world where agents increasingly do the work and humans need to understand what happened, recognize when to engage, and make high-quality judgments. It’s a hands-on role for someone with a point of view about agent versus human interaction, human-in-the-loop design, auditability, and how to make complex system behavior genuinely clear.
This is someone who can reason deeply about data-intensive, distributed systems and translate that backend complexity into intuitive, high-trust human interfaces.
In an agentic world, control planes are shifting from rigid step-by-step workflows to intent-driven supervision. We need an engineer with master-level information and interaction design instincts who can rethink how humans direct, govern, observe, and intervene in AI-agent activities.
Key Responsibilities:
- End-to-End Control-Plane & Telemetry Surfaces: Architect and build domain models, APIs, and high-density visual interfaces for intent expression, agent supervision, and anomaly diagnosis.
- Information Architecture & Visualization: Apply core information design principles (hierarchy, progressive disclosure, small multiples, data provenance) to make high-dimensional, temporal, and non-deterministic system state instantly understandable.
- Interaction Design for Human-Agent Systems: Design interactions, feedback loops, and state-reversal mechanisms for automated workflows. Define micro-interactions, sensible default states, and clear affordances for human oversight.
- Human-in-the-Loop Frameworks: Intentionally balance synchronous approvals, asynchronous audit trails, and automated guardrails based on risk, uncertainty, and reversibility.
- UX Prototyping to Production: Rapidly prototype new interaction models, evaluate them against technical constraints, and ship production-grade code that raises the bar for explainability and usability.
BASIC QUALIFICATIONS
You're Our Person If:
- Systems & Platform Engineering: Deep understanding of distributed architecture, state management, consistency, asynchronous failure modes, and observability.
- Advanced UX & Information Design: Strong proficiency in information architecture, interaction design, and data visualization. Familiarity with design thinkers like Edward Tufte, Bret Victor, Tamara Munzner, or Ben Shneiderman.
- Full-Stack Execution: Ability to work across backend system concepts (events, policies, lineages) and craft fine-grained user experiences in code.
- AI-Native Product Thinking: Expertise designing interfaces for agentic execution beyond simple chat/copilot flows (focusing on delegation, governance, context-awareness, and trust).
- Nuanced Interaction Design: Mastery of friction vs. fluidity—knowing precisely when to insert a confirmation step, how to show system causality, and how to represent uncertainty clearly.
PREFERRED QUALIFICATIONS
Even Better If:
- Experience building developer platforms, observability systems, control planes, or investigative analytics tools.
- Background in human-computer interaction (HCI), design systems, or data visualization for enterprise/safety-critical software.
- Track record of building tool-using AI models, agent supervision interfaces, or zero-to-one developer tools.
COMPENSATION
- The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually.
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.
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.
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.
Applications will be accepted until 10/12/2026.
Please note for the right person, we would consider a fully remote employee
Please only apply if you have some of the UX skills listed, this is a combination UX/AI/Agentic Engineering role
ROLE AND RESPONSIBILITIES
We’re hiring a senior engineer for a rare systems-to-interface role: someone who understands data-intensive and distributed systems deeply, but is equally motivated by information design, visualization, and UX. This person will own both control-plane and telemetry experiences in a world where agents increasingly do the work and humans need to understand what happened, recognize when to engage, and make high-quality judgments. It’s a hands-on role for someone with a point of view about agent versus human interaction, human-in-the-loop design, auditability, and how to make complex system behavior genuinely clear.
This is someone who can reason deeply about data-intensive, distributed systems and translate that backend complexity into intuitive, high-trust human interfaces.
In an agentic world, control planes are shifting from rigid step-by-step workflows to intent-driven supervision. We need an engineer with master-level information and interaction design instincts who can rethink how humans direct, govern, observe, and intervene in AI-agent activities.
Key Responsibilities:
- End-to-End Control-Plane & Telemetry Surfaces: Architect and build domain models, APIs, and high-density visual interfaces for intent expression, agent supervision, and anomaly diagnosis.
- Information Architecture & Visualization: Apply core information design principles (hierarchy, progressive disclosure, small multiples, data provenance) to make high-dimensional, temporal, and non-deterministic system state instantly understandable.
- Interaction Design for Human-Agent Systems: Design interactions, feedback loops, and state-reversal mechanisms for automated workflows. Define micro-interactions, sensible default states, and clear affordances for human oversight.
- Human-in-the-Loop Frameworks: Intentionally balance synchronous approvals, asynchronous audit trails, and automated guardrails based on risk, uncertainty, and reversibility.
- UX Prototyping to Production: Rapidly prototype new interaction models, evaluate them against technical constraints, and ship production-grade code that raises the bar for explainability and usability.
BASIC QUALIFICATIONS
You're Our Person If:
- Systems & Platform Engineering: Deep understanding of distributed architecture, state management, consistency, asynchronous failure modes, and observability.
- Advanced UX & Information Design: Strong proficiency in information architecture, interaction design, and data visualization. Familiarity with design thinkers like Edward Tufte, Bret Victor, Tamara Munzner, or Ben Shneiderman.
- Full-Stack Execution: Ability to work across backend system concepts (events, policies, lineages) and craft fine-grained user experiences in code.
- AI-Native Product Thinking: Expertise designing interfaces for agentic execution beyond simple chat/copilot flows (focusing on delegation, governance, context-awareness, and trust).
- Nuanced Interaction Design: Mastery of friction vs. fluidity—knowing precisely when to insert a confirmation step, how to show system causality, and how to represent uncertainty clearly.
PREFERRED QUALIFICATIONS
Even Better If:
- Experience building developer platforms, observability systems, control planes, or investigative analytics tools.
- Background in human-computer interaction (HCI), design systems, or data visualization for enterprise/safety-critical software.
- Track record of building tool-using AI models, agent supervision interfaces, or zero-to-one developer tools.
COMPENSATION
- The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually.
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.
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.
See all 1,086+ Green Card Software Engineer AI Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Software Engineer AI Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship in Software Engineer AI
Document your AI specialization before applying
Gather degree transcripts, publications, patents, and performance reviews that confirm your advanced specialization in machine learning, NLP, or related AI domains. PERM requires the employer to define a specific minimum qualification, and your credentials must map precisely to that job description.
Target employers with PERM filing history
Companies that have filed PERM applications for software engineering roles before already have internal HR processes and legal counsel in place. Searching DOL PERM disclosure data by job title and SOC code narrows your list to employers who sponsor, not just those who might.
Use Migrate Mate to filter by sponsorship status
Search Migrate Mate for Software Engineer AI roles filtered by green card sponsorship history. The platform surfaces employers with verified PERM and I-140 filing records, saving you from applying to companies that have never sponsored a permanent resident petition.
Verify the prevailing wage tier before negotiating
Your PERM-certified wage must meet or exceed the DOL prevailing wage for your job title, location, and experience level. Look up your role's wage level using the OFLC Wage Search before salary discussions so you understand the floor the employer is legally bound to meet.
Ask recruiters about the EB-2 versus EB-3 category early
Whether your employer files under EB-2 or EB-3 affects your priority date and wait time, especially for nationals from India and China. Raise this during the offer stage, not after I-140 is filed, since the minimum education requirement in the job description determines which category applies.
Confirm your I-485 concurrency window during negotiations
If your priority date is current when USCIS accepts your I-140, you may file for adjustment of status concurrently, shortening total processing time. Build this timeline check into your offer discussion so both you and the employer understand the projected path to your green card.
Green Card Software Engineer AI: Frequently Asked Questions
Does a Software Engineer AI role qualify for EB-2 or EB-3 green card sponsorship?
Most Software Engineer AI positions qualify for EB-2 sponsorship when the employer requires a master's degree or equivalent in computer science, machine learning, or a related field. If the minimum requirement is a bachelor's degree plus two years of experience, the role typically falls under EB-3. The job description language the employer uses in the PERM application determines the category, so it matters how the role is written, not just what you hold.
How does green card sponsorship differ from H-1B sponsorship for AI engineers?
H-1B visa sponsorship grants temporary status, requires renewal every three years, and is subject to an annual lottery for cap-subject roles. EB-2 and EB-3 green card sponsorship through PERM leads to permanent residency with no lottery and no annual cap at the EB-3 level for most countries. The tradeoff is timeline: PERM labor certification, I-140 approval, and adjustment of status together can take two to four years before you hold a green card, compared to H-1B approval in a few months.
How do I find Software Engineer AI employers who actually sponsor green cards?
The most reliable method is searching DOL PERM disclosure data filtered by job title and SOC code to identify companies with a track record of filing permanent labor certifications for software engineering roles. Migrate Mate aggregates this data and lets you filter Software Engineer AI listings by employers with verified PERM and I-140 filing history, so you can focus your applications on companies that have already committed to the process.
Can my employer start the PERM process while I am on H-1B or OPT?
Yes. Employers can initiate PERM labor certification regardless of your current visa status. Starting PERM early is strategically useful because the labor certification is employer-specific and job-specific, not status-dependent. Filing while you are on H-1B or OPT does not affect your current work authorization, and an approved I-140 can preserve your priority date even if you later change employers under AC21 portability rules.
What does the PERM process look like for an AI engineering role specifically?
The employer first obtains a prevailing wage determination from DOL using the OFLC Wage Search for your specific job title, level, and location. They then run a mandatory recruitment campaign, documenting that no qualified U.S. workers applied for the role as defined. The PERM application is submitted through the FLAG system, and DOL either certifies or audits it. Certification typically takes six to eighteen months, after which the employer files I-140 with USCIS to establish your immigrant visa priority date.