AI ML Platform Jobs in USA with Visa Sponsorship
AI/ML Platform engineers are among the most actively sponsored roles in the U.S. tech industry. Employers regularly file H-1B visa and O-1 petitions for this specialty, and the work squarely qualifies as a specialty occupation under USCIS standards. For detailed occupation requirements, see the O*NET profile.
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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)
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Get Access To All JobsTips for Finding AI ML Platform Jobs
Frame your role as infrastructure, not research
AI/ML Platform is distinct from applied ML, you build the systems others train on. Emphasize distributed systems, MLOps pipelines, and compute orchestration in your resume. Visa officers and employers respond to infrastructure framing over vague 'AI' titles.
Target companies with established ML infrastructure teams
Large-scale tech firms and AI-native companies already have USCIS-approved H-1B specialty occupation classifications for platform engineering roles. Applying to companies with prior approval history significantly reduces petition risk and employer hesitation around sponsorship.
Clarify your degree field on every application
USCIS requires a degree in a directly related field, computer science, computer engineering, and electrical engineering qualify cleanly. If your degree is adjacent, document coursework in systems design or distributed computing to strengthen the specialty occupation argument.
Highlight specific platform technologies in your materials
Kubernetes, Ray, Kubeflow, Spark, and Triton inference server are concrete signals that distinguish platform engineers from generalist ML practitioners. Specificity in tooling helps employers justify the specialty occupation requirement to USCIS when petitioning.
Understand your OPT and cap-gap timeline before applying
If you're on F-1 OPT, H-1B cap season runs January through April for October start dates. Platform roles at cap-exempt universities or research labs allow year-round filing, worth targeting if your OPT timeline doesn't align with the annual lottery.
Document production-scale impact, not just model performance
Sponsoring employers need to justify a specialty occupation petition. Resume bullet points quantifying platform throughput, uptime improvements, or training cost reductions give immigration counsel concrete evidence that the role requires specialized technical expertise.
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Find AI ML Platform JobsFrequently Asked Questions
Does an AI/ML Platform engineer role qualify as a specialty occupation for H-1B purposes?
Yes. AI/ML Platform engineering requires at least a bachelor's degree in computer science, computer engineering, or a closely related field, meeting USCIS's specialty occupation definition. The role involves designing distributed training infrastructure, ML pipelines, and serving systems that require theoretical and applied depth. Generalist or non-technical degrees are unlikely to satisfy the field-of-study requirement without substantial supporting documentation.
Which visa types are most common for AI/ML Platform engineers?
H-1B is the most common path, though it requires winning the annual lottery. O-1A is a realistic alternative for engineers with strong publication records, open-source contributions, or documented industry recognition. Australians can pursue the E-3, which has no lottery and far lower competition. Canadians and Mexicans may qualify under the TN visa's computer systems analyst category. Browse open roles on Migrate Mate filtered by visa type to identify which employers are actively sponsoring.
Do employers actually sponsor H-1B visas for platform engineering roles?
Yes, and frequently. Companies like Google, Meta, Amazon, Microsoft, and AI-native firms such as Databricks and Anyscale have substantial H-1B filing histories for ML infrastructure and platform roles. DOL disclosure data confirms platform engineering titles appear consistently across LCA filings. The key filter is employer size and existing immigration infrastructure; smaller startups may be willing but slower to initiate the process.
What degree do I need to get sponsored for an AI/ML Platform role?
A bachelor's degree or higher in computer science, computer engineering, electrical engineering, or a directly related technical field is the standard requirement. Degrees in mathematics or physics may qualify with strong systems-focused coursework. If your degree is in a less directly related field, three years of relevant professional experience can substitute for one year of education under USCIS equivalency standards, though this requires detailed documentation and an immigration attorney's support.
How competitive is the H-1B lottery for AI/ML Platform engineers?
In FY 2025, USCIS received approximately 442,000 registrations for 85,000 available slots, resulting in a selection rate around 25%. Engineers with a U.S. master's degree or higher enter a separate pool first, improving odds modestly. If you don't get selected, cap-exempt employers, universities, nonprofit research labs, and certain government entities, can file outside the lottery. TN, E-3, and O-1 visas bypass the cap entirely and are worth evaluating if lottery odds are a concern.
What is the prevailing wage requirement for sponsored AI ML Platform jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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