Green Card Enterprise Architect Jobs
Enterprise Architect roles qualify for EB-2 and EB-3 green card sponsorship through PERM labor certification, which requires employers to document recruitment efforts before filing. Most positions fall under SOC code 15-1299, and sponsorship timelines typically run two to four years depending on your country of birth and priority date.
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Get Access To All JobsINTRODUCTION
Proven experience driving AI strategy and implementation across multiple functions. Ability to engage CXO/VP-level stakeholders and influence decision-making. Strong program management skills to oversee AI roadmap, execution, governance. Expertise in end-to-end AI lifecycle (use case > data > model > deployment > monitoring > optimization). Understanding of ethical AI, regulatory compliance, data privacy norm. Experience in setting up AI Centers of Excellence (CoE). Certifications in AI/ML, cloud, or enterprise architecture. Ability to translate business challenges into AI-driven solutions. Strong communication, consulting, and change management capability.
ROLE
Strong Knowledge of below technologies and hands-on experience in building AI solutions using them:
- Generative AI (LLMs, RAG, Agentic AI)
- AI/ML Architecture & Solution Design
- Python ecosystem (PyTorch, TensorFlow, FastAPI, LangChain, LangGraph, etc.)
- Cloud AI platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI)
- Data Engineering & Vector Databases (FAISS, Pinecone, etc.)
- Expertise in MLOps / LLMOps / GenAI Ops (model versioning, deployment pipelines, monitoring)
- Production grade enterprise Implementations including:
- Strong understanding of enterprise data architecture (data pipelines, feature stores, knowledge grounding, vector DBs)
- Experience integrating AI solutions into enterprise ecosystems (APIs, microservices, OSS/BSS/CRM systems)
- Knowledge of Responsible AI principles (bias mitigation, explainability, auditability, regulatory compliance)
- Strong awareness of AI security (prompt injection, data privacy, access controls)
BASIC QUALIFICATIONS
Good-to-Have:
- Experience in automation, AIOps, MLOps frameworks
- Experience in cost optimization of AI workloads
- Experience in industry-specific AI use cases
RESPONSIBILITIES AND EXPECTATIONS FROM THE ROLE
- AI Strategy, Advisory & Opportunity Identification
- Engage with client stakeholders to understand business challenges and identify AI/GenAI opportunities
- Shape AI strategy, use cases, and roadmap aligned to client objectives and deal strategy
-
Provide advisory on AI adoption, readiness, and transformation approach
-
Solution Architecture & Presales Solutioning
- Design enterprise-grade AI/GenAI solution architectures tailored to client needs
- Define integration patterns with existing enterprise ecosystems (APIs, microservices, OSS/BSS/CRM)
- Select appropriate AI platforms, tools, and accelerators aligned to solution requirements
-
Collaborate with CoEs, domain teams, and account teams to build comprehensive solution offerings
-
POC Development & Deal Acceleration
- Develop rapid PoCs, prototypes, and demonstrations to validate AI solution feasibility
- Showcase business value through working demos, use-case walkthroughs, and client presentations
- Support RFP responses, solution bids, and technical discussions during deal cycles
-
Accelerate deal closure by de-risking solution approaches through demonstrable outcomes
-
AI Enablement & Handover to Account Teams
- Create reusable solution blueprints, architecture documents, and implementation guidelines
- Ensure structured knowledge transfer of AI solutions, POCs, and architecture to account/delivery teams
- Support accounts during transition from presales to delivery by clarifying solution intent and design decisions
-
Enable continuity by ensuring accounts are equipped to implement and scale the solution
-
Collaboration & Ecosystem Engagement
- Work closely with account teams, delivery units, AI CoEs, and domain SMEs
- Orchestrate contributions across multiple teams to build end-to-end AI solutions
-
Facilitate alignment between business, engineering, and architecture stakeholders
-
Innovation, Reusability & Thought Leadership
- Stay updated with evolving AI/GenAI technologies and assess applicability
- Build reusable accelerators, frameworks, and solution assets
-
Conduct workshops, client demos, and knowledge-sharing sessions
-
AI Lifecycle Guidance (Advisory)
- Guide teams on AI lifecycle best practices (data, model, deployment, monitoring)
- Recommend MLOps / LLMOps approaches for scalable execution
-
Advise on performance, cost optimization, and scalability considerations
-
Responsible AI, Risk & Compliance Advisory
- Provide guidance on Responsible AI principles, security, and compliance considerations
-
Identify risks and recommend mitigation approaches (data privacy, model risks, prompt security)
-
Vendor & Platform Advisory
- Evaluate AI platforms, tools, and partner ecosystems for suitability
- Recommend build vs buy decisions aligned to client context
QUALIFICATIONS
Bachelor’s degree in information technology, Business or related field. MBA’s can also be preferred.
Experience in:
- AI/GenAI Solution Architecture
- Enterprise AI Strategy & Governance
- Python & AI/ML Frameworks
- Experience in Cloud AI Platforms
- 5+ Years in AI/ML/GenAI
COMPENSATION
- Salary Range: $151,500-$204,900 a year
LOCATION
Dallas, TX
Job Function
CONSULTANCY
Role
Enterprise Architect
Job Id
417232
Desired Skills
Enterprise Architecture
Salary Range
$151,500-$204,900 a year
INTRODUCTION
Proven experience driving AI strategy and implementation across multiple functions. Ability to engage CXO/VP-level stakeholders and influence decision-making. Strong program management skills to oversee AI roadmap, execution, governance. Expertise in end-to-end AI lifecycle (use case > data > model > deployment > monitoring > optimization). Understanding of ethical AI, regulatory compliance, data privacy norm. Experience in setting up AI Centers of Excellence (CoE). Certifications in AI/ML, cloud, or enterprise architecture. Ability to translate business challenges into AI-driven solutions. Strong communication, consulting, and change management capability.
ROLE
Strong Knowledge of below technologies and hands-on experience in building AI solutions using them:
- Generative AI (LLMs, RAG, Agentic AI)
- AI/ML Architecture & Solution Design
- Python ecosystem (PyTorch, TensorFlow, FastAPI, LangChain, LangGraph, etc.)
- Cloud AI platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI)
- Data Engineering & Vector Databases (FAISS, Pinecone, etc.)
- Expertise in MLOps / LLMOps / GenAI Ops (model versioning, deployment pipelines, monitoring)
- Production grade enterprise Implementations including:
- Strong understanding of enterprise data architecture (data pipelines, feature stores, knowledge grounding, vector DBs)
- Experience integrating AI solutions into enterprise ecosystems (APIs, microservices, OSS/BSS/CRM systems)
- Knowledge of Responsible AI principles (bias mitigation, explainability, auditability, regulatory compliance)
- Strong awareness of AI security (prompt injection, data privacy, access controls)
BASIC QUALIFICATIONS
Good-to-Have:
- Experience in automation, AIOps, MLOps frameworks
- Experience in cost optimization of AI workloads
- Experience in industry-specific AI use cases
RESPONSIBILITIES AND EXPECTATIONS FROM THE ROLE
- AI Strategy, Advisory & Opportunity Identification
- Engage with client stakeholders to understand business challenges and identify AI/GenAI opportunities
- Shape AI strategy, use cases, and roadmap aligned to client objectives and deal strategy
-
Provide advisory on AI adoption, readiness, and transformation approach
-
Solution Architecture & Presales Solutioning
- Design enterprise-grade AI/GenAI solution architectures tailored to client needs
- Define integration patterns with existing enterprise ecosystems (APIs, microservices, OSS/BSS/CRM)
- Select appropriate AI platforms, tools, and accelerators aligned to solution requirements
-
Collaborate with CoEs, domain teams, and account teams to build comprehensive solution offerings
-
POC Development & Deal Acceleration
- Develop rapid PoCs, prototypes, and demonstrations to validate AI solution feasibility
- Showcase business value through working demos, use-case walkthroughs, and client presentations
- Support RFP responses, solution bids, and technical discussions during deal cycles
-
Accelerate deal closure by de-risking solution approaches through demonstrable outcomes
-
AI Enablement & Handover to Account Teams
- Create reusable solution blueprints, architecture documents, and implementation guidelines
- Ensure structured knowledge transfer of AI solutions, POCs, and architecture to account/delivery teams
- Support accounts during transition from presales to delivery by clarifying solution intent and design decisions
-
Enable continuity by ensuring accounts are equipped to implement and scale the solution
-
Collaboration & Ecosystem Engagement
- Work closely with account teams, delivery units, AI CoEs, and domain SMEs
- Orchestrate contributions across multiple teams to build end-to-end AI solutions
-
Facilitate alignment between business, engineering, and architecture stakeholders
-
Innovation, Reusability & Thought Leadership
- Stay updated with evolving AI/GenAI technologies and assess applicability
- Build reusable accelerators, frameworks, and solution assets
-
Conduct workshops, client demos, and knowledge-sharing sessions
-
AI Lifecycle Guidance (Advisory)
- Guide teams on AI lifecycle best practices (data, model, deployment, monitoring)
- Recommend MLOps / LLMOps approaches for scalable execution
-
Advise on performance, cost optimization, and scalability considerations
-
Responsible AI, Risk & Compliance Advisory
- Provide guidance on Responsible AI principles, security, and compliance considerations
-
Identify risks and recommend mitigation approaches (data privacy, model risks, prompt security)
-
Vendor & Platform Advisory
- Evaluate AI platforms, tools, and partner ecosystems for suitability
- Recommend build vs buy decisions aligned to client context
QUALIFICATIONS
Bachelor’s degree in information technology, Business or related field. MBA’s can also be preferred.
Experience in:
- AI/GenAI Solution Architecture
- Enterprise AI Strategy & Governance
- Python & AI/ML Frameworks
- Experience in Cloud AI Platforms
- 5+ Years in AI/ML/GenAI
COMPENSATION
- Salary Range: $151,500-$204,900 a year
LOCATION
Dallas, TX
Job Function
CONSULTANCY
Role
Enterprise Architect
Job Id
417232
Desired Skills
Enterprise Architecture
Salary Range
$151,500-$204,900 a year
See all 416+ Green Card Enterprise Architect Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship in Enterprise Architect
Align your credentials to EB-2 requirements
Enterprise Architect roles commonly qualify under EB-2 when the position requires an advanced degree in computer science, information systems, or a related field. A master's degree or a bachelor's plus five years of progressive experience strengthens your petition significantly.
Search employers with active PERM histories
Target organizations that have filed PERM applications for Enterprise Architect or related IT architecture roles before. Repeat filers understand the process and are less likely to abandon sponsorship mid-application. Use Migrate Mate to filter by companies with green card sponsorship history in this role category.
Verify your role matches the PERM job description
DOL requires the PERM job description to reflect the actual minimum requirements for the role, not your personal qualifications. If your employer lists overly specific duties or requirements tailored to you, PERM audits become more likely and your case can be delayed.
Benchmark your salary against the OFLC prevailing wage
Before accepting an offer, confirm your offered salary meets or exceeds the DOL prevailing wage for Enterprise Architect at the correct wage level in your work location. Use the OFLC Wage Search to check this yourself before your employer files the LCA.
Understand the EB-3 path if your degree is a bachelor's
If you hold a U.S.-equivalent bachelor's degree without additional graduate credentials, EB-3 is likely your track. There's no annual cap on EB-3 petitions, though priority date backlogs apply by country of birth and can affect your wait significantly.
Negotiate sponsorship timing into your offer discussions
Ask whether your employer will file PERM within your first year. Many companies delay until after a probationary period. Starting PERM earlier gives your priority date more time to become current, which matters most if you were born in India or China.
Green Card Enterprise Architect: Frequently Asked Questions
Does an Enterprise Architect role typically qualify for EB-2 or EB-3 sponsorship?
Most Enterprise Architect positions qualify for EB-2 because they genuinely require an advanced degree or a bachelor's degree plus substantial progressive experience in IT architecture or a related discipline. If your employer can justify that the role requires a master's degree, EB-2 is the stronger path. EB-3 remains an option for roles where a bachelor's degree satisfies the minimum requirement.
How does PERM green card sponsorship differ from H-1B sponsorship for this role?
H-1B visa is a temporary nonimmigrant status requiring renewal every three years with no path to permanence on its own. PERM is the first step toward a green card, meaning lawful permanent residency. There's no lottery for employment-based green cards, and EB-3 has no annual petition cap, though per-country backlogs affect how long you wait after approval. PERM also requires your employer to complete a formal DOL recruitment process before filing.
What does the PERM recruitment process mean for Enterprise Architect candidates?
Before your employer can file a PERM application with DOL, they must advertise the position and document that no qualified U.S. workers applied. For professional roles like Enterprise Architect, this typically includes Sunday newspaper ads, job board postings, and internal notices over a 30 to 180-day window. The job description used in ads must match the petition, so any changes to your role after filing can create complications.
How can I find employers that sponsor green cards for Enterprise Architect roles?
Migrate Mate lets you search for Enterprise Architect jobs filtered specifically by employers with employment-based green card sponsorship history, including PERM filings in this occupation category. This saves you from applying to companies that sponsor H-1B but have no experience with PERM, which is a common mismatch that delays or derails sponsorship.
Can my employer sponsor my green card if I'm currently on OPT or H-1B?
Yes. PERM sponsorship is available regardless of your current nonimmigrant status. If you're on H-1B, your employer can begin PERM while you maintain your existing status. If you're on OPT, your employer can file PERM concurrently, though you'll need valid work authorization throughout the process. USCIS allows you to extend H-1B status beyond the six-year cap once your I-140 is approved and your priority date meets certain thresholds under AC21.