Green Card Solutions Lead Jobs
Solutions Lead roles qualify for EB-2 or EB-3 green card sponsorship when the position requires a bachelor's degree or higher in a relevant technical or business field. Employers initiate PERM labor certification through DOL before filing the I-140 petition, permanently sponsoring you for lawful U.S. residency.
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Get Access To All JobsINTRODUCTION
Requisition ID
200202
Date posted
06/15/2026
Work Location Model
On-site Flex
Work Location
Fremont-CA
Work Country
United States
The group you’ll be a part of
The Office of the CTO is where innovation takes center stage. We inspire our global technical community to take on grand challenges, understand emerging trends, identify the critical inflections, and drive our sustainability, Environment, Social, and Governance (ESG) practices that will define the next generation of semiconductors and continued impact.
The impact you’ll make
Join Lam as a Data Scientist, where you'll design, develop, and program methods to analyze unstructured and diverse big data into actionable insights. You'll develop algorithms and automated processes to evaluate large data sets from disparate sources. Your expertise in generating, interpreting, and communicating actionable insights enables Lam to make informed and data-driven decisions.
What you’ll do
- Design end-to-end AI solutions on Lam's shared AI platform — AI Foundry, Agent Runtime & Orchestration, Knowledge Service, and Ontology — grounded in enterprise data.
- Translate business problems into reusable solution patterns that delivery teams can adopt across R&D and enterprise use cases.
- Serve as the technical bridge between Platforms & Technology and the AI Delivery Execution and AI Product Management teams, ensuring platform capabilities are applied consistently.
- Lead solution and design reviews, and define and enforce architectural standards for agentic, RAG, and orchestration-based solutions.
- Embed security, governance, compliance, and cost-efficiency into solution designs by default, reducing IP and data-access risk across the enterprise.
- Champion reuse of common platform primitives over duplicated point solutions, driving interoperability and lowering total cost of ownership.
- Partner with product managers, AI governance, and engineering teams to take solutions from architecture through production deployment.
Who we’re looking for
- Bachelor's or Master's in Computer Science, Engineering, or a related field, with 10+ years of AI engineering experience, including significant time as a hands-on solution or enterprise architect.
- Proven experience architecting enterprise-scale AI/GenAI solutions — including agentic frameworks, retrieval-augmented generation (RAG), and orchestration — as reusable, interoperable patterns.
- Deep knowledge of GenAI orchestration frameworks (e.g., LangChain, LangGraph) and agent communication standards (e.g., MCP).
- Solid understanding of various ML and DL frameworks and in-depth understanding of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Demonstrated expertise with Transformer architectures — including attention mechanisms, encoder–decoder designs, and fine-tuning foundational models for NLP, CV, or multi-modal tasks.
- Hands-on experience building and optimizing Transformer-based systems, including RAG pipelines, embedding models, vector databases, and efficient inference techniques.
- Demonstrated ability to act as a single technical authority — leading design reviews, resolving cross-team architectural trade-offs, and influencing without direct authority.
- Strong grasp of security, governance, and compliance considerations for AI systems operating on enterprise and R&D data.
- Experience with knowledge/ontology services, semantic layers, and enterprise data foundations.
Preferred qualifications
- Experience developing AI solutions on cloud platforms such as Azure and/or Databricks.
- Familiarity with full-stack software or data science development.
- Strong communication skills, able to convey decisions to both technical and business audiences.
Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
Salary
CA San Francisco Bay Area Salary Range for this position: $141,000.00 - $307,000.00.
The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
Our Perks and Benefits
At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.
INTRODUCTION
Requisition ID
200202
Date posted
06/15/2026
Work Location Model
On-site Flex
Work Location
Fremont-CA
Work Country
United States
The group you’ll be a part of
The Office of the CTO is where innovation takes center stage. We inspire our global technical community to take on grand challenges, understand emerging trends, identify the critical inflections, and drive our sustainability, Environment, Social, and Governance (ESG) practices that will define the next generation of semiconductors and continued impact.
The impact you’ll make
Join Lam as a Data Scientist, where you'll design, develop, and program methods to analyze unstructured and diverse big data into actionable insights. You'll develop algorithms and automated processes to evaluate large data sets from disparate sources. Your expertise in generating, interpreting, and communicating actionable insights enables Lam to make informed and data-driven decisions.
What you’ll do
- Design end-to-end AI solutions on Lam's shared AI platform — AI Foundry, Agent Runtime & Orchestration, Knowledge Service, and Ontology — grounded in enterprise data.
- Translate business problems into reusable solution patterns that delivery teams can adopt across R&D and enterprise use cases.
- Serve as the technical bridge between Platforms & Technology and the AI Delivery Execution and AI Product Management teams, ensuring platform capabilities are applied consistently.
- Lead solution and design reviews, and define and enforce architectural standards for agentic, RAG, and orchestration-based solutions.
- Embed security, governance, compliance, and cost-efficiency into solution designs by default, reducing IP and data-access risk across the enterprise.
- Champion reuse of common platform primitives over duplicated point solutions, driving interoperability and lowering total cost of ownership.
- Partner with product managers, AI governance, and engineering teams to take solutions from architecture through production deployment.
Who we’re looking for
- Bachelor's or Master's in Computer Science, Engineering, or a related field, with 10+ years of AI engineering experience, including significant time as a hands-on solution or enterprise architect.
- Proven experience architecting enterprise-scale AI/GenAI solutions — including agentic frameworks, retrieval-augmented generation (RAG), and orchestration — as reusable, interoperable patterns.
- Deep knowledge of GenAI orchestration frameworks (e.g., LangChain, LangGraph) and agent communication standards (e.g., MCP).
- Solid understanding of various ML and DL frameworks and in-depth understanding of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Demonstrated expertise with Transformer architectures — including attention mechanisms, encoder–decoder designs, and fine-tuning foundational models for NLP, CV, or multi-modal tasks.
- Hands-on experience building and optimizing Transformer-based systems, including RAG pipelines, embedding models, vector databases, and efficient inference techniques.
- Demonstrated ability to act as a single technical authority — leading design reviews, resolving cross-team architectural trade-offs, and influencing without direct authority.
- Strong grasp of security, governance, and compliance considerations for AI systems operating on enterprise and R&D data.
- Experience with knowledge/ontology services, semantic layers, and enterprise data foundations.
Preferred qualifications
- Experience developing AI solutions on cloud platforms such as Azure and/or Databricks.
- Familiarity with full-stack software or data science development.
- Strong communication skills, able to convey decisions to both technical and business audiences.
Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
Salary
CA San Francisco Bay Area Salary Range for this position: $141,000.00 - $307,000.00.
The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
Our Perks and Benefits
At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.
See all 452+ Green Card Solutions Lead Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship in Solutions Lead
Document your specialty occupation credentials early
Solutions Lead roles can straddle technical and consulting functions, so gather performance reviews, project scopes, and client-facing deliverables that demonstrate the specialized knowledge your employer will need to justify a PERM labor certification to DOL.
Identify employers with active PERM filing history
Use Migrate Mate to filter Solutions Lead openings by green card sponsorship activity, so you're targeting employers who have already run PERM campaigns for this job family rather than those who may be sponsoring for the first time.
Clarify EB-2 versus EB-3 eligibility before applying
If your Solutions Lead role requires a master's degree or equivalent advanced credentials, ask recruiters whether the position is scoped for EB-2. That classification can shorten your wait significantly if your country of birth faces EB-3 backlogs.
Benchmark your prevailing wage using OFLC Wage Search
Before accepting an offer, look up your specific SOC code and work location in OFLC Wage Search. Your offered salary must meet or exceed the DOL prevailing wage level tied to your job duties, or PERM certification will fail.
Negotiate a start date that protects your current status
PERM labor certification takes 12 to 18 months before the I-140 even files. If you're currently on H-1B visa, confirm that your employer will submit an H-1B transfer petition concurrently, so there's no gap in work authorization during the green card process.
Understand how the recruitment record affects your case
DOL requires employers to conduct a good-faith recruitment campaign before PERM approval. If you're mid-process and your employer restarts that campaign, your priority date resets. Ask your employer's attorney when the recruitment window closes and the I-140 will file.
Green Card Solutions Lead: Frequently Asked Questions
Does a Solutions Lead role typically qualify for EB-2 or EB-3 sponsorship?
It depends on how the employer defines the position's minimum requirements. If the role genuinely requires a master's degree or its equivalent in a specialized field, EB-2 is the appropriate category. Roles requiring only a bachelor's degree typically qualify under EB-3. The distinction matters because EB-2 can have shorter wait times for applicants born in high-demand countries.
How does green card sponsorship differ from H-1B sponsorship for this role?
H-1B is a temporary nonimmigrant status renewed in three-year increments, subject to annual lottery selection. Green card sponsorship through PERM leads to permanent residency with no renewal cycle and no cap lottery at the EB-3 level for most countries. The tradeoff is timeline: PERM labor certification alone takes 12 to 18 months before any I-140 or adjustment of status filing begins.
How can I find Solutions Lead jobs where the employer will sponsor a green card?
Migrate Mate lets you filter Solutions Lead openings specifically by employment-based green card sponsorship history, so you can focus on employers who have already completed PERM campaigns for similar roles. That's a far more reliable signal than a job posting that simply says 'sponsorship available.'
Can I switch employers while my green card is in process as a Solutions Lead?
Yes, under AC21 portability rules, you can change employers once your I-485 adjustment of status application has been pending for 180 days or more, as long as the new role is in the same or a similar occupational classification. Solutions Lead positions within the same functional domain generally satisfy this requirement, but you should confirm the SOC code alignment with an immigration attorney before switching.
What role-specific documentation strengthens a PERM filing for a Solutions Lead?
USCIS and DOL both scrutinize whether the stated minimum requirements are genuinely necessary for the position. For Solutions Leads, strong filings typically include project documentation showing cross-functional leadership, technical scope statements that justify degree requirements, and evidence that the role cannot be performed by a generalist. O*NET occupation profiles for related SOC codes are also used to validate job duty descriptions during audit reviews.