Green Card Cloud AI Architect Jobs
Cloud AI Architect roles qualify for EB-2 sponsorship when they require an advanced degree in computer science, machine learning, or a related field, and for EB-3 when the position demands at least a bachelor's degree. Employers file PERM labor certification with DOL before the I-140 petition, making green card sponsorship a multi-step process worth confirming upfront.
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Get Access To All JobsINTRODUCTION
Senior Cloud Data & AI Architect
Must Have Technical/Functional Skills
- Architect enterprise data platforms for data lake, Lakehouse, streaming systems.
- Design data integration and data pipeline patterns
- Should be able to evaluate new technologies and run proof of concepts.
- Should be able to set data and AI strategy for data organization.
- Established data Quality, lineage and metadata standards
- Ensured compliance with privacy, security and regulation
- Drives adoption of responsible AI frameworks
- Created architectural guardrails
- Drive consensus on standards (eg data contracts, lineage) across different data organizations
- Reviews design and elevate architectural thinking across teams
- Creates reusable patterns, templates and reference architectures
- Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
- Design and implement AI and Gen AI solution for data value chain
- Strong experience with LLMs, prompt engineering, and agent frameworks (LangChain, AutoGen, CrewAI).
- Deep understanding of MCPs, ReAct, Tree of Thought, and AutoGPT-style reasoning.
- Hands-on with Python, OpenAI APIs, Anthropic Claude, Vector DBs (FAISS, Pinecone, Weaviate).
- Experience with A2A orchestration, agent memory strategies, and tool calling.
- Strong grasp of enterprise architecture, data governance, and security protocols.
- Experience with cloud platforms (Azure, AWS, GCP) and MLOps pipelines.
- Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
- Implement retrieval-augmented generation (RAG) pipelines with memory, context management, and tool usage.
- Define Model Context Protocol (MCPs) to chain reasoning, retrieval, and action models.
- Hands-on with Python, OpenAI APIs, Anthropic Claude, Vector DBs (FAISS, Pinecone, Weaviate).
Roles & Responsibilities
- Lead enterprise data platform modernization from on-prem to cloud for banking and insurance clients.
- Architect and implement scalable solutions using Snowflake and Databricks on AWS and Azure
- Design and implement AI and Gen AI solution for data value chain
- Design data integration pipelines (batch, real-time, big data) and analytics platforms
- Define and implement data governance, quality, metadata, and lineage frameworks and should be able to leverage GenAI capabilities.
- Act as a trusted advisor to senior business and IT stakeholders
- Architect Agentic AI ecosystems using LLMs, vector databases, and orchestration frameworks (LangChain, AutoGen, CrewAI).
- Define Model Context Protocol (MCPs) to chain reasoning, retrieval, and action models.
- Design Agent-to-Agent (A2A) communication protocols for collaborative multi-agent workflows.
- Implement retrieval-augmented generation (RAG) pipelines with memory, context management, and tool usage.
Generic Managerial Skills, If any
- 15–20 years of experience in data architecture, data engineering, and analytics platforms
- Strong consulting experience in large BFSI transformation programs
- Hands-on expertise with Snowflake and Databricks (Lakehouse architecture)
- Design and implement AI and Gen AI solution for data value chain
- Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
- Experience with cloud data services in AWS, Azure, GCP
- Strong background in data integration, reporting, and big data ecosystems
- Experience working in regulated environments with data governance and compliance requirements
- Excellent stakeholder communication and leadership skills
Salary Range
- $150,000-$175,000 a year
Location
Dallas, TX
Job Function
TECHNOLOGY
Role
Technical Architect
Job Id
413283
Desired Skills
Cloud Architecture
Salary Range
$150,000-$175,000 a year
INTRODUCTION
Senior Cloud Data & AI Architect
Must Have Technical/Functional Skills
- Architect enterprise data platforms for data lake, Lakehouse, streaming systems.
- Design data integration and data pipeline patterns
- Should be able to evaluate new technologies and run proof of concepts.
- Should be able to set data and AI strategy for data organization.
- Established data Quality, lineage and metadata standards
- Ensured compliance with privacy, security and regulation
- Drives adoption of responsible AI frameworks
- Created architectural guardrails
- Drive consensus on standards (eg data contracts, lineage) across different data organizations
- Reviews design and elevate architectural thinking across teams
- Creates reusable patterns, templates and reference architectures
- Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
- Design and implement AI and Gen AI solution for data value chain
- Strong experience with LLMs, prompt engineering, and agent frameworks (LangChain, AutoGen, CrewAI).
- Deep understanding of MCPs, ReAct, Tree of Thought, and AutoGPT-style reasoning.
- Hands-on with Python, OpenAI APIs, Anthropic Claude, Vector DBs (FAISS, Pinecone, Weaviate).
- Experience with A2A orchestration, agent memory strategies, and tool calling.
- Strong grasp of enterprise architecture, data governance, and security protocols.
- Experience with cloud platforms (Azure, AWS, GCP) and MLOps pipelines.
- Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
- Implement retrieval-augmented generation (RAG) pipelines with memory, context management, and tool usage.
- Define Model Context Protocol (MCPs) to chain reasoning, retrieval, and action models.
- Hands-on with Python, OpenAI APIs, Anthropic Claude, Vector DBs (FAISS, Pinecone, Weaviate).
Roles & Responsibilities
- Lead enterprise data platform modernization from on-prem to cloud for banking and insurance clients.
- Architect and implement scalable solutions using Snowflake and Databricks on AWS and Azure
- Design and implement AI and Gen AI solution for data value chain
- Design data integration pipelines (batch, real-time, big data) and analytics platforms
- Define and implement data governance, quality, metadata, and lineage frameworks and should be able to leverage GenAI capabilities.
- Act as a trusted advisor to senior business and IT stakeholders
- Architect Agentic AI ecosystems using LLMs, vector databases, and orchestration frameworks (LangChain, AutoGen, CrewAI).
- Define Model Context Protocol (MCPs) to chain reasoning, retrieval, and action models.
- Design Agent-to-Agent (A2A) communication protocols for collaborative multi-agent workflows.
- Implement retrieval-augmented generation (RAG) pipelines with memory, context management, and tool usage.
Generic Managerial Skills, If any
- 15–20 years of experience in data architecture, data engineering, and analytics platforms
- Strong consulting experience in large BFSI transformation programs
- Hands-on expertise with Snowflake and Databricks (Lakehouse architecture)
- Design and implement AI and Gen AI solution for data value chain
- Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
- Experience with cloud data services in AWS, Azure, GCP
- Strong background in data integration, reporting, and big data ecosystems
- Experience working in regulated environments with data governance and compliance requirements
- Excellent stakeholder communication and leadership skills
Salary Range
- $150,000-$175,000 a year
Location
Dallas, TX
Job Function
TECHNOLOGY
Role
Technical Architect
Job Id
413283
Desired Skills
Cloud Architecture
Salary Range
$150,000-$175,000 a year
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Get Access To All JobsTips for Finding Green Card Sponsorship in Cloud AI Architect
Document your cloud AI specializations early
Gather degree transcripts, professional certifications (AWS, GCP, Azure AI), and project portfolios before applying. PERM requires your employer to verify your credentials match the job duties, so clean documentation speeds up labor certification significantly.
Target employers with active PERM filing history
Use the OFLC Wage Search to filter DOL disclosure data for Cloud AI Architect or related SOC codes. Employers who have filed PERM for these roles before are far more likely to sponsor again than those without any filing history.
Clarify the EB-2 versus EB-3 track before accepting an offer
Ask whether the role will be classified under EB-2 (requiring a master's degree or equivalent) or EB-3 (bachelor's degree sufficient). Your priority date and wait time can differ substantially depending on your nationality and which category the employer files under.
Search for sponsoring employers on Migrate Mate
Filter Cloud AI Architect openings on Migrate Mate by green card sponsorship history to surface employers who have completed PERM filings for similar roles. This cuts out the guesswork of cold-applying to companies that won't sponsor.
Confirm the prevailing wage tier in your job offer
DOL assigns a wage level (I through IV) on the PERM-certified LCA. Cloud AI Architect roles typically land at Level III or IV. If your offered salary sits below the certified prevailing wage, USCIS can deny the I-140 petition even after PERM is approved.
Understand what changes between PERM approval and I-485 filing
PERM certification does not lock in your green card. Your employer must still file the I-140 petition, and you can't file the I-485 adjustment of status until a visa number is available in your category and your priority date becomes current.
Green Card Cloud AI Architect: Frequently Asked Questions
Does a Cloud AI Architect role qualify for EB-2 green card sponsorship?
Yes, if the position genuinely requires a master's degree or higher in computer science, artificial intelligence, or a closely related field. Employers can also make an EB-2 case for candidates with a bachelor's degree plus five years of progressive experience demonstrating specialized expertise. The job duties in the PERM application must support whichever credential standard the employer selects.
How does green card sponsorship differ from H-1B for Cloud AI Architects?
H-1B visa is a temporary status tied to a specific employer and subject to the annual lottery cap. EB-2 and EB-3 green card sponsorship leads to permanent residency with no cap concerns at the petition level, though visa number availability depends on your birth country. The PERM labor certification process also adds six to twelve months before your employer can file the I-140, making the total timeline longer than a standard H-1B transfer.
Which employers actually sponsor green cards for Cloud AI Architect positions?
Cloud-native and enterprise technology employers with large AI infrastructure teams file the most PERM applications for these roles. Financial services firms, healthcare systems expanding their AI platforms, and federal contractors also sponsor regularly. Use Migrate Mate to filter job listings by verified green card sponsorship history so you're targeting employers who have completed the PERM process for Cloud AI Architect or adjacent titles.
What is the O*NET classification for Cloud AI Architect roles and why does it matter for PERM?
O*NET classifies Cloud AI Architect work closest to Software Developers and Architects (SOC 15-1252) or Computer and Information Research Scientists (SOC 15-1221), both in Job Zone 5 requiring extensive preparation. The SOC code your employer selects determines the DOL prevailing wage level on the PERM application. A mismatched SOC code can result in an audit or denial from OFLC, delaying your entire green card timeline.
Can I switch employers after PERM is approved but before my green card is issued?
If your I-140 petition has been approved for more than 180 days and your I-485 is pending, AC21 portability lets you change to a new employer in the same or similar occupational classification without losing your priority date. For Cloud AI Architect roles, a move to a comparable senior cloud or AI engineering position typically satisfies the same-or-similar standard, but your new employer should review the specifics before you make the switch.