H-1B Visa AI Solutions Engineer Jobs
AI Solutions Engineers design and deploy enterprise AI systems, a role USCIS consistently recognizes as a specialty occupation requiring at least a bachelor's degree in computer science, AI, or a related field. Demand for H-1B visa sponsorship in this space is high, with tech, consulting, and finance employers filing LCAs regularly for these positions.
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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 615+ H-1B Visa AI Solutions Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa AI Solutions Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an AI Solutions Engineer
Align your degree to the role
USCIS requires a direct connection between your degree field and the specialty occupation. A computer science, AI, or data engineering degree maps cleanly. A business degree with self-taught ML skills creates an RFE risk, document any graduate coursework or certifications that bridge the gap.
Search LCA filings by SOC code
AI Solutions Engineer roles file under SOC code 15-1252 (Software Developers) or 15-2051 (Data Scientists). Run the OFLC Wage Search filtered by those codes to identify employers already certified to sponsor H-1B workers in your target metro.
Find H-1B sponsors faster on Migrate Mate
Filter AI Solutions Engineer roles by verified H-1B filing history on Migrate Mate. You'll see which employers have active LCAs for this exact SOC code, so you're not guessing which companies will actually file a petition for you.
Clarify the employer's cap-exempt status early
Universities, nonprofits affiliated with higher education, and certain research institutions are cap-exempt, meaning they can file H-1B petitions year-round without lottery entry. If you're open to research or applied AI roles, these employers remove lottery timing risk entirely.
Request premium processing at the offer stage
Standard H-1B adjudication can run several months, which conflicts with most employer onboarding timelines. Ask your recruiter whether the company routinely pays for premium processing, USCIS upgrades to a 15-business-day decision window, before accepting an offer.
Use your 60-day grace period strategically
If your current H-1B employer does a reduction in force, you have a 60-day grace period to secure a new sponsor. A new employer can file a cap-exempt transfer petition immediately, so keep your O*NET job description documentation current and your portfolio projects publicly accessible.
H-1B Visa AI Solutions Engineer: Frequently Asked Questions
Does an AI Solutions Engineer role qualify as a specialty occupation for H-1B purposes?
Yes, in the vast majority of cases. USCIS evaluates specialty occupation status based on whether the role normally requires a bachelor's degree or higher in a specific field. AI Solutions Engineer positions requiring expertise in machine learning, cloud architecture, or enterprise AI deployment consistently satisfy this standard. Roles where any technical degree qualifies regardless of field carry slightly higher RFE risk, so a targeted degree match strengthens your petition.
Which employers sponsor H-1B visas for AI Solutions Engineers?
Tech companies, management consulting firms, financial services institutions, and large healthcare systems are the most active H-1B sponsors for this role. Employers building internal AI platforms or selling AI-integrated products to enterprise clients file LCAs for this occupation most frequently. Browse current openings with verified H-1B filing history on Migrate Mate to see which employers are actively sponsoring right now.
How does the H-1B lottery affect my job search as an AI Solutions Engineer?
If you're subject to the annual cap, your petition enters the lottery each April for an October 1 start date. That timeline means you need an offer in hand by late March. Cap-exempt employers, universities, nonprofit research labs, and some federally funded R&D centers, can file year-round and aren't subject to the lottery, which makes them worth targeting if timing is a constraint for you.
What documentation should I prepare before applying for AI Solutions Engineer roles requiring H-1B sponsorship?
Have a degree equivalency evaluation ready if your credential is from outside the U.S., since USCIS requires confirmation it meets the U.S. bachelor's degree standard. Compile transcripts, any graduate coursework in AI or machine learning, and a portfolio of deployed AI projects. Employers' immigration counsel will use your degree field and job duties to build the specialty occupation argument, so a clear alignment between your credentials and the role description is critical.
Can an AI Solutions Engineer on H-1B switch employers mid-status?
Yes. H-1B portability allows you to start working for a new employer as soon as they file a transfer petition, without waiting for approval, as long as your prior H-1B was approved and you've maintained valid status. The new employer files a new I-129 and an LCA for the specific role and work location. You don't re-enter the lottery, and there's no gap in your work authorization if the transfer is filed before your current employment ends.