Green Card AI Solutions Engineer Jobs
AI Solutions Engineer roles sit squarely in EB-2 and EB-3 territory, requiring a bachelor's or advanced degree in computer science, AI, or a related field. Employers file a PERM labor certification with the DOL before sponsoring permanent residency. Finding employers with active green card sponsorship history is the first real hurdle.
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Get Access To All JobsWhere Ambition Meets Innovation
Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you’ll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.
Job Overview:
We are seeking a highly skilled Individual Contributor (IC) to design and implement agentic AI solutions on the LPL Data Experience (LDX) platform. This role is ideal for a self-driven engineer who thrives in a fast-paced environment, learns quickly, and delivers innovative solutions with minimal guidance.
You will build AI-first, agentic frameworks that automate data governance, exception tracking, reconciliation processes, and lifecycle management across multiple domains. These solutions will integrate seamlessly into LDX, enabling users to review exceptions, configure rules, and visualize reconciliation results through intuitive UI components.
This is a hands-on development role—you will own the design, coding, deployment, and optimization of AI-driven workflows on AWS, leveraging modern orchestration frameworks, LLM-based intelligence, and ML engineering practices integrated into the SDLC.
Responsibilities:
- Embed AI-first and ML engineering principles into SDLC, ensuring intelligent automation and predictive capabilities are considered from design through deployment.
-
Design and develop agentic AI solutions for:
-
Data governance tracking and compliance monitoring.
- Exception detection and resolution across multiple data domains.
- Reconciliation frameworks using rule-based and AI-driven logic.
-
Lifecycle management workflows for investor and operational domains.
-
Build intelligent agents that apply rules or adaptive intelligence to automate exception handling and reconciliation.
- Develop APIs and microservices using Python (FastAPI) and .NET Core for agentic workflows.
- Integrate AI workflows with LDX UI components built in Angular for user review and configuration.
- Implement event-driven architectures using AWS EventBridge, Lambda, and Step Functions for real-time orchestration.
- Deploy and manage LLMs (Claude, GPT, Amazon Titan) via AWS Bedrock and integrate RAG pipelines using LangChain or Haystack.
- Build knowledge bases and embedding models for contextual reasoning using vector databases (Pinecone, OpenSearch).
- Apply memory management techniques for multi-agent orchestration (short-term and long-term memory persistence).
- Ensure observability and reliability using AWS CloudWatch, X-Ray, and Dynatrace.
- Implement security best practices (IAM, KMS, encryption) and compliance frameworks (SOC2, GDPR).
- Build automation frameworks using UiPath or RPA tools to complement AI-driven workflows.
- Optimize for performance, scalability, and cost efficiency in AWS deployments.
- Stay current with emerging AI orchestration frameworks, LLM technologies, and cloud-native patterns.
What are we looking for?
We want strong collaborators who can deliver a world-class client experience. We are looking for people who thrive in a fast-paced environment, are client-focused, team oriented, and are able to execute in a way that encourages creativity and continuous improvement.
Requirements
- 5+ years of experience in software development with a strong focus on AI/ML integration and intelligent automation.
- 3+ years of hands-on experience building agentic AI solutions and multi-agent orchestration workflows.
-
5+ years of proficiency in:
-
Backend: Python (FastAPI), .NET Core.
-
Frontend: Angular for UI integration.
-
3+ years of experience with AWS Agent core, AWS Bedrock, SageMaker, Lambda, Fargate, Step Functions, EventBridge, Glue, S3.
- 3+ years of strong understanding of ML engineering practices, including model lifecycle management and AI-first SDLC integration.
Preferences:
- Familiarity with LLMs (Claude, GPT, Titan) and RAG pipelines using LangChain, Haystack, and vector databases.
- Strong understanding of data governance principles, lifecycle management, and compliance frameworks.
- Experience implementing security best practices for AI workflows.
- Hands-on experience with Infrastructure as Code (Terraform) and CI/CD pipelines.
- Familiarity with observability tools (CloudWatch, Dynatrace, X-Ray).
- Experience leveraging AI-powered developer tools (Cursor, GitHub Copilot).
- Experience building automation frameworks using UiPath or RPA tools (nice to have).
LI-Hybrid
Pay Range:
$146,900.00 - $244,900.00
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play – such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!
Company Overview:
LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace, LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses.
At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.
Join the LPL team and help us make a difference by turning life’s aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.
Information on Interviews:
LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (855) 575-6947.
EAC 5.19.26
Where Ambition Meets Innovation
Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you’ll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.
Job Overview:
We are seeking a highly skilled Individual Contributor (IC) to design and implement agentic AI solutions on the LPL Data Experience (LDX) platform. This role is ideal for a self-driven engineer who thrives in a fast-paced environment, learns quickly, and delivers innovative solutions with minimal guidance.
You will build AI-first, agentic frameworks that automate data governance, exception tracking, reconciliation processes, and lifecycle management across multiple domains. These solutions will integrate seamlessly into LDX, enabling users to review exceptions, configure rules, and visualize reconciliation results through intuitive UI components.
This is a hands-on development role—you will own the design, coding, deployment, and optimization of AI-driven workflows on AWS, leveraging modern orchestration frameworks, LLM-based intelligence, and ML engineering practices integrated into the SDLC.
Responsibilities:
- Embed AI-first and ML engineering principles into SDLC, ensuring intelligent automation and predictive capabilities are considered from design through deployment.
-
Design and develop agentic AI solutions for:
-
Data governance tracking and compliance monitoring.
- Exception detection and resolution across multiple data domains.
- Reconciliation frameworks using rule-based and AI-driven logic.
-
Lifecycle management workflows for investor and operational domains.
-
Build intelligent agents that apply rules or adaptive intelligence to automate exception handling and reconciliation.
- Develop APIs and microservices using Python (FastAPI) and .NET Core for agentic workflows.
- Integrate AI workflows with LDX UI components built in Angular for user review and configuration.
- Implement event-driven architectures using AWS EventBridge, Lambda, and Step Functions for real-time orchestration.
- Deploy and manage LLMs (Claude, GPT, Amazon Titan) via AWS Bedrock and integrate RAG pipelines using LangChain or Haystack.
- Build knowledge bases and embedding models for contextual reasoning using vector databases (Pinecone, OpenSearch).
- Apply memory management techniques for multi-agent orchestration (short-term and long-term memory persistence).
- Ensure observability and reliability using AWS CloudWatch, X-Ray, and Dynatrace.
- Implement security best practices (IAM, KMS, encryption) and compliance frameworks (SOC2, GDPR).
- Build automation frameworks using UiPath or RPA tools to complement AI-driven workflows.
- Optimize for performance, scalability, and cost efficiency in AWS deployments.
- Stay current with emerging AI orchestration frameworks, LLM technologies, and cloud-native patterns.
What are we looking for?
We want strong collaborators who can deliver a world-class client experience. We are looking for people who thrive in a fast-paced environment, are client-focused, team oriented, and are able to execute in a way that encourages creativity and continuous improvement.
Requirements
- 5+ years of experience in software development with a strong focus on AI/ML integration and intelligent automation.
- 3+ years of hands-on experience building agentic AI solutions and multi-agent orchestration workflows.
-
5+ years of proficiency in:
-
Backend: Python (FastAPI), .NET Core.
-
Frontend: Angular for UI integration.
-
3+ years of experience with AWS Agent core, AWS Bedrock, SageMaker, Lambda, Fargate, Step Functions, EventBridge, Glue, S3.
- 3+ years of strong understanding of ML engineering practices, including model lifecycle management and AI-first SDLC integration.
Preferences:
- Familiarity with LLMs (Claude, GPT, Titan) and RAG pipelines using LangChain, Haystack, and vector databases.
- Strong understanding of data governance principles, lifecycle management, and compliance frameworks.
- Experience implementing security best practices for AI workflows.
- Hands-on experience with Infrastructure as Code (Terraform) and CI/CD pipelines.
- Familiarity with observability tools (CloudWatch, Dynatrace, X-Ray).
- Experience leveraging AI-powered developer tools (Cursor, GitHub Copilot).
- Experience building automation frameworks using UiPath or RPA tools (nice to have).
LI-Hybrid
Pay Range:
$146,900.00 - $244,900.00
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play – such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!
Company Overview:
LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace, LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses.
At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.
Join the LPL team and help us make a difference by turning life’s aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.
Information on Interviews:
LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (855) 575-6947.
EAC 5.19.26
See all 523+ Green Card AI Solutions Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card AI Solutions Engineer Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as an AI Solutions Engineer
Document your AI specialization before applying
Gather transcripts, certifications, and project portfolios that tie your work to specific AI subfields like machine learning or NLP. PERM requires proving your credentials match the posted position, so misalignment between your documents and the job description can stall the entire case.
Target employers with established PERM filing programs
Enterprise technology firms and large consulting practices run repeat PERM programs and have internal immigration counsel. A company sponsoring its first green card for an AI role faces a much steeper learning curve than one that has filed dozens of certified applications.
Search for sponsoring employers using Migrate Mate
Filter by green card sponsorship history to surface employers who have previously filed PERM applications for AI and software engineering roles. Migrate Mate lets you target your search before sending a single application, which saves weeks of back-and-forth with recruiters.
Clarify the EB tier with your employer early
Whether your employer files under EB-2 or EB-3 depends on the minimum requirements written into the PERM job description. If the role requires only a bachelor's degree, it may default to EB-3, which affects your priority date strategy if you're from a backlogged country.
Request the prevailing wage determination before your offer
DOL sets the prevailing wage through the OFLC Wage Search, and your employer must offer at least that amount for the PERM application to clear. Confirm the wage level being requested, since Level I wages are sometimes challenged during PERM audit reviews.
Time your I-140 filing to lock in your priority date
USCIS allows your employer to file the I-140 petition concurrently with or after PERM certification. Filing the I-140 promptly after PERM approval secures your priority date, which controls your place in the green card queue and matters most for nationals facing backlogs.
Green Card AI Solutions Engineer: Frequently Asked Questions
Does an AI Solutions Engineer role qualify for EB-2 or EB-3 sponsorship?
Both categories apply depending on how the employer writes the PERM job description. EB-2 requires a U.S. master's degree or a bachelor's degree plus five years of progressive experience in a directly related specialty. EB-3 covers roles requiring a bachelor's degree alone. Most AI Solutions Engineer positions are drafted to EB-2 standards given the advanced technical depth the role demands, but that is ultimately the employer's decision when setting minimum requirements.
How does green card sponsorship differ from H-1B for an AI Solutions Engineer?
The H-1B visa is a temporary nonimmigrant visa subject to an annual lottery and a six-year cap with extensions. A PERM-based green card has no annual lottery, results in permanent residency rather than temporary status, and has no hard expiration on your authorization to work once the process completes. The trade-off is timeline: PERM, I-140, and adjustment of status can take two to four years for most nationalities, compared to a faster H-1B start date.
How do I find AI Solutions Engineer roles where the employer will sponsor a green card?
Search Migrate Mate to filter specifically for employers with green card sponsorship history in AI and software engineering roles. Most job postings don't explicitly advertise PERM sponsorship, so searching by sponsorship history rather than job title gives you a more accurate picture of which employers are willing and equipped to run the process.
What does the PERM labor certification process look like for an AI Solutions Engineer?
Your employer files an Application for Permanent Employment Certification with the DOL, documenting that no qualified U.S. workers are available for the posted role. This requires a defined recruitment period, a prevailing wage determination via the OFLC Wage Search, and a job description that matches your actual credentials. DOL processing currently runs several months for non-audited cases, and an audit can add another six to twelve months before certification is granted.
Can I switch employers after my PERM is approved but before my green card is issued?
Yes, under AC21 portability rules, you can change employers after your I-140 is approved and your adjustment of status application has been pending for at least 180 days, provided the new role is in the same or similar occupational classification. For AI Solutions Engineers, a move to a comparable software or AI engineering role at a different company generally qualifies, but you should confirm the job duties align before making the switch.