AI ML Platform Green Card Jobs
AI ML Platform roles qualify for EB-2 sponsorship when the position requires an advanced degree in machine learning, computer science, or a related field, and for EB-3 when a bachelor's degree meets the specialty occupation standard. Your employer files a PERM labor certification with the DOL before the I-140 petition, permanently tying your green card path to the role.
See All AI ML Platform JobsOverview
Showing 5 of 66+ AI ML Platform jobs


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?
See all 66+ AI ML Platform jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Platform roles.
Get Access To All Jobs
(Remote Position)
Company Information
NexGen Technologies, Inc. is a leading IT services firm specializing in delivering innovative, high-quality solutions to our federal government clients. Our core competencies include IT professional support services, software development, cloud services, IT Operations, Agile project management, and GIS services.
Job Summary
NexGen Technologies is seeking an AI/ML Platform Architect to serve as a Key Personnel role and the single point of authority for artificial intelligence architecture on a major federal modernization program. NexGen must own the AI architecture for this program, and this position is responsible for designing, governing, and directing all AI/ML platform capabilities across delivery teams and program phases.
The AI/ML Platform Architect performs advanced, professional work requiring the consistent exercise of discretion and independent judgment in defining AI architecture, managing AI related risk, and ensuring legally defensible, compliant AI system design. This role owns the end-to-end AI platform architecture, including multiagent orchestration, dual LLM configuration strategies, retrieval augmented generation (RAG) architecture, GeoAI integration, and controls to mitigate prompt injection and other AI specific threats. The position is government facing and leads architectural engagement with stakeholders on AI approach, roadmap, risk management, and Assessment & Authorization (A&A) alignment. There are no formal supervisory responsibilities. This position exercises architectural authority and technical governance across multiple teams without direct personnel management.
Essential Duties and Responsibilities (as assigned)
-
Serve as the single point of architectural authority for all AI/ML capabilities on the program, owning and directing the AI platform architecture end-to-end.
-
Design, define, and govern the AI/ML platform, including architectural standards, patterns, and guardrails used by all delivery teams.
-
Lead and direct multiagent orchestration architecture, including agent roles, coordination patterns, and inter agent communication models.
-
Design and govern dual LLM configuration strategies to balance performance, cost, risk, and explainability across use cases.
-
Define and own retrieval augmented generation (RAG) architecture, including data sourcing, indexing strategies, grounding controls, and response traceability.
-
Design and integrate GeoAI capabilities, ensuring spatial data and GIS services are safely and effectively incorporated into AI workflows.
-
Establish and enforce controls to mitigate prompt injection, data leakage, and other AI specific security risks.
-
Design AI architectures that are legally defensible, auditable, and aligned with federal oversight, records retention, and compliance requirements.
-
Serve as the government facing AI technical authority, leading discussions on AI design decisions, tradeoffs, risks, and mitigation strategies.
-
Define the AI technical roadmap, sequencing capabilities across program phases in alignment with mission priorities and compliance milestones.
-
Direct coordination with security, DevSecOps, data, and application teams to ensure integrated execution of the AI architectural vision.
-
Lead AI related governance activities, including architectural reviews, technical risk assessments, and executive briefings.
-
Perform other duties as assigned.
Required Skills
-
Minimum of ten years of experience in AI/ML architecture, advanced machine learning, or applied AI roles.
-
Demonstrated experience serving as an architectural authority for complex, production AI platforms.
-
Hands on experience designing and governing multiagent AI systems in regulated environments.
-
Strong experience with LLMs, RAG architectures, and AI integration patterns.
-
Experience designing AI systems for federal or highly regulated environments.
-
Strong technical leadership, risk management, and executive communication skills.
Desired Skills
-
Experience with GeoAI, spatial analytics, or GIS integrated AI solutions.
-
Experience designing AI systems with auditability, explainability, and legal defensibility as core requirements.
-
Strong familiarity with Azure based AI services and cloud hosted AI platforms.
-
Prior experience supporting civilian federal agencies.
Education
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field.
Additional Requirements
-
Ability to work independently and collaboratively in a regulated federal environment.
-
Strong analytical, problem-solving, and communication skills.
-
Must be able to pass background screening prior to employment.
-
US Citizenship, legal permanent residence, or US work authorization with minimum 3 years of US presence is required due to federal contract requirements.
Compensation: $150,000-175,000 per year
(The successful candidate’s starting pay will fall within the salary range provided and is determined based on job related factors, including experience, qualifications, skills, geographic work location, and market conditions.)
NexGen Technologies, Inc. is an equal opportunity employer.
(Last Revision: 2026-04-02)

(Remote Position)
Company Information
NexGen Technologies, Inc. is a leading IT services firm specializing in delivering innovative, high-quality solutions to our federal government clients. Our core competencies include IT professional support services, software development, cloud services, IT Operations, Agile project management, and GIS services.
Job Summary
NexGen Technologies is seeking an AI/ML Platform Architect to serve as a Key Personnel role and the single point of authority for artificial intelligence architecture on a major federal modernization program. NexGen must own the AI architecture for this program, and this position is responsible for designing, governing, and directing all AI/ML platform capabilities across delivery teams and program phases.
The AI/ML Platform Architect performs advanced, professional work requiring the consistent exercise of discretion and independent judgment in defining AI architecture, managing AI related risk, and ensuring legally defensible, compliant AI system design. This role owns the end-to-end AI platform architecture, including multiagent orchestration, dual LLM configuration strategies, retrieval augmented generation (RAG) architecture, GeoAI integration, and controls to mitigate prompt injection and other AI specific threats. The position is government facing and leads architectural engagement with stakeholders on AI approach, roadmap, risk management, and Assessment & Authorization (A&A) alignment. There are no formal supervisory responsibilities. This position exercises architectural authority and technical governance across multiple teams without direct personnel management.
Essential Duties and Responsibilities (as assigned)
-
Serve as the single point of architectural authority for all AI/ML capabilities on the program, owning and directing the AI platform architecture end-to-end.
-
Design, define, and govern the AI/ML platform, including architectural standards, patterns, and guardrails used by all delivery teams.
-
Lead and direct multiagent orchestration architecture, including agent roles, coordination patterns, and inter agent communication models.
-
Design and govern dual LLM configuration strategies to balance performance, cost, risk, and explainability across use cases.
-
Define and own retrieval augmented generation (RAG) architecture, including data sourcing, indexing strategies, grounding controls, and response traceability.
-
Design and integrate GeoAI capabilities, ensuring spatial data and GIS services are safely and effectively incorporated into AI workflows.
-
Establish and enforce controls to mitigate prompt injection, data leakage, and other AI specific security risks.
-
Design AI architectures that are legally defensible, auditable, and aligned with federal oversight, records retention, and compliance requirements.
-
Serve as the government facing AI technical authority, leading discussions on AI design decisions, tradeoffs, risks, and mitigation strategies.
-
Define the AI technical roadmap, sequencing capabilities across program phases in alignment with mission priorities and compliance milestones.
-
Direct coordination with security, DevSecOps, data, and application teams to ensure integrated execution of the AI architectural vision.
-
Lead AI related governance activities, including architectural reviews, technical risk assessments, and executive briefings.
-
Perform other duties as assigned.
Required Skills
-
Minimum of ten years of experience in AI/ML architecture, advanced machine learning, or applied AI roles.
-
Demonstrated experience serving as an architectural authority for complex, production AI platforms.
-
Hands on experience designing and governing multiagent AI systems in regulated environments.
-
Strong experience with LLMs, RAG architectures, and AI integration patterns.
-
Experience designing AI systems for federal or highly regulated environments.
-
Strong technical leadership, risk management, and executive communication skills.
Desired Skills
-
Experience with GeoAI, spatial analytics, or GIS integrated AI solutions.
-
Experience designing AI systems with auditability, explainability, and legal defensibility as core requirements.
-
Strong familiarity with Azure based AI services and cloud hosted AI platforms.
-
Prior experience supporting civilian federal agencies.
Education
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field.
Additional Requirements
-
Ability to work independently and collaboratively in a regulated federal environment.
-
Strong analytical, problem-solving, and communication skills.
-
Must be able to pass background screening prior to employment.
-
US Citizenship, legal permanent residence, or US work authorization with minimum 3 years of US presence is required due to federal contract requirements.
Compensation: $150,000-175,000 per year
(The successful candidate’s starting pay will fall within the salary range provided and is determined based on job related factors, including experience, qualifications, skills, geographic work location, and market conditions.)
NexGen Technologies, Inc. is an equal opportunity employer.
(Last Revision: 2026-04-02)
See all 66+ AI ML Platform jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Platform roles.
Get Access To All JobsTips for Finding Green Card Sponsorship in AI ML Platform
Document your ML specialization for PERM
PERM requires your employer to prove the job genuinely requires your specific credentials. Gather transcripts, published research, and project documentation that link your advanced degree or specialized training directly to the AI ML Platform role's stated requirements.
Target employers with active I-140 filing history
Companies that have filed I-140 petitions for ML engineers in the past are already familiar with PERM requirements for technical roles. Prioritize these employers early, since their HR and legal teams won't need to be educated on the process from scratch.
Verify your SOC code before the offer stage
AI ML Platform roles typically fall under SOC 15-2051 or 15-1212. The SOC code your employer selects drives the prevailing wage determination from the OFLC Wage Search, so confirm it matches your actual duties before the job order is posted.
Negotiate the PERM timeline into your offer
PERM labor certification can take 12 to 18 months before the I-140 is even filed. Ask during offer negotiations whether the employer will start PERM immediately or delay, since that decision directly affects when your priority date is established.
Use Migrate Mate to filter for green card sponsoring roles
Search Migrate Mate to find AI ML Platform positions at employers with confirmed EB-2 and EB-3 sponsorship history, so you're applying to companies already set up to run PERM rather than ones that have never filed before.
Cross-check your O*NET profile against your job description
USCIS scrutinizes whether your duties match the specialty occupation definition. Pull the O*NET profile for your role's SOC code and confirm your offer letter's responsibilities align, since mismatches between the two are a common source of RFEs on I-140 petitions.
AI ML Platform jobs are hiring across the US. Find yours.
Find AI ML Platform JobsAI ML Platform Green Card Sponsorship: Frequently Asked Questions
Do AI ML Platform roles qualify for EB-2 or EB-3 green card sponsorship?
Most AI ML Platform positions qualify for EB-2 because they require an advanced degree in machine learning, computer science, statistics, or a closely related field. If the role requires only a bachelor's degree, it can qualify under EB-3 as a professional position. The classification affects your priority date queue but not your eligibility for PERM labor certification, which is required under both categories.
How does green card sponsorship for this role differ from H-1B sponsorship?
Green card sponsorship through PERM is a permanent immigration pathway, not a temporary status renewal. There is no annual lottery at the EB-3 level, and your employer files a labor certification with the DOL rather than competing for a cap slot. The process takes longer, often two to four years from PERM filing to an approved I-485, but the outcome is lawful permanent residency rather than a visa tied to your employer's continued sponsorship.
What does the PERM labor certification process look like for AI ML Platform positions?
Your employer must conduct a supervised recruitment campaign to demonstrate no qualified U.S. worker is available for the role. For AI ML Platform jobs, the DOL will assign a prevailing wage based on your SOC code and work location. The employer posts the position, collects and reviews applications, documents the results, and files ETA Form 9089. Only after DOL certifies that form does your employer file the I-140 petition with USCIS.
How do I find employers that will actually sponsor a green card for an AI ML Platform role?
Search Migrate Mate to identify companies with a documented history of EB-2 and EB-3 sponsorship for ML and platform engineering roles. Many employers in this space have sponsored before but don't advertise it in job postings. Filtering by sponsorship history means you start conversations with teams whose legal and HR processes are already built for PERM rather than negotiating from zero.
Can my employer start PERM while I'm on H-1B status, and what happens if my H-1B expires during the process?
Yes, your employer can file PERM while you're in valid H-1B status, and this is the standard path for most sponsored professionals in ML roles. If your H-1B expires before your green card is approved, you can extend it in three-year increments under AC21 portability rules once your I-140 is approved and your priority date is within one year of becoming current.
See which AI ML Platform employers are hiring and sponsoring visas right now.
Search AI ML Platform Jobs