H-1B Visa AI Platform Engineer Jobs
AI Platform Engineer roles sit squarely within H-1B visa specialty occupation territory, requiring at least a bachelor's degree in computer science, machine learning, or a related field. Employers filing LCAs for this role typically classify it under SOC codes tied to software development or computer and information research, which affects your prevailing wage tier and petition strength.
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Get Access To All JobsINTRODUCTION
Responsibilities:
- Design, develop, and deploy enterprise-grade Agentic AI and Generative AI applications using LLMs, RAG pipelines, prompt engineering, and multi-agent frameworks.
- Build scalable AI-powered backend services and APIs using Python or Java/Spring Boot, integrating AI capabilities into enterprise applications.
- Develop intelligent workflows using Amazon Bedrock, OpenAI, LangChain/LangGraph, vector databases, and enterprise APIs.
- Build and optimize RAG solutions, AI agents, tool calling, prompt orchestration, and structured output pipelines.
- Develop REST APIs and microservices to integrate AI solutions with enterprise systems and business applications.
- Evaluate, fine-tune, test, and optimize LLM performance while implementing AI guardrails and responsible AI practices.
- Collaborate with product owners, architects, and engineering teams to deliver scalable, production-ready AI solutions.
- Mentor developers on AI best practices and contribute to the adoption of AI across enterprise applications.
BASIC QUALIFICATIONS
- Strong hands-on experience with Agentic AI, Generative AI, LLMs, RAG, Prompt Engineering, and AI Agents.
- Experience with Amazon Bedrock, OpenAI APIs, LangChain/LangGraph, MCP, or similar AI frameworks.
- Strong programming experience in Python and/or Java with Spring Boot.
- Experience building REST APIs, microservices, and integrating enterprise applications.
- Experience with Vector Databases (Pinecone, Chroma, FAISS, Weaviate, or similar).
- Knowledge of Kafka or other event-driven messaging platforms is a plus.
- Basic familiarity with AWS and Docker for deploying AI applications.
- Experience with Git and CI/CD workflows.
- Strong problem-solving, communication, and collaboration skills.
PREFERRED QUALIFICATIONS
- Experience with AI evaluation frameworks, guardrails, model monitoring, and prompt optimization.
- Exposure to GraphRAG, Knowledge Graphs, or autonomous agent frameworks is a plus.
INTRODUCTION
Responsibilities:
- Design, develop, and deploy enterprise-grade Agentic AI and Generative AI applications using LLMs, RAG pipelines, prompt engineering, and multi-agent frameworks.
- Build scalable AI-powered backend services and APIs using Python or Java/Spring Boot, integrating AI capabilities into enterprise applications.
- Develop intelligent workflows using Amazon Bedrock, OpenAI, LangChain/LangGraph, vector databases, and enterprise APIs.
- Build and optimize RAG solutions, AI agents, tool calling, prompt orchestration, and structured output pipelines.
- Develop REST APIs and microservices to integrate AI solutions with enterprise systems and business applications.
- Evaluate, fine-tune, test, and optimize LLM performance while implementing AI guardrails and responsible AI practices.
- Collaborate with product owners, architects, and engineering teams to deliver scalable, production-ready AI solutions.
- Mentor developers on AI best practices and contribute to the adoption of AI across enterprise applications.
BASIC QUALIFICATIONS
- Strong hands-on experience with Agentic AI, Generative AI, LLMs, RAG, Prompt Engineering, and AI Agents.
- Experience with Amazon Bedrock, OpenAI APIs, LangChain/LangGraph, MCP, or similar AI frameworks.
- Strong programming experience in Python and/or Java with Spring Boot.
- Experience building REST APIs, microservices, and integrating enterprise applications.
- Experience with Vector Databases (Pinecone, Chroma, FAISS, Weaviate, or similar).
- Knowledge of Kafka or other event-driven messaging platforms is a plus.
- Basic familiarity with AWS and Docker for deploying AI applications.
- Experience with Git and CI/CD workflows.
- Strong problem-solving, communication, and collaboration skills.
PREFERRED QUALIFICATIONS
- Experience with AI evaluation frameworks, guardrails, model monitoring, and prompt optimization.
- Exposure to GraphRAG, Knowledge Graphs, or autonomous agent frameworks is a plus.
See all 1,122+ H-1B Visa AI Platform Engineer Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an AI Platform Engineer
Align your SOC code before negotiating
AI Platform Engineer roles get filed under different SOC codes depending on the employer, most often 15-1252 or 15-1299. The code drives your prevailing wage tier, so confirm which one your employer plans to use before the LCA is submitted.
Document your ML infrastructure work specifically
USCIS increasingly issues RFEs for platform engineering roles, questioning whether the position requires a specialty degree. Gather project artifacts, architecture diagrams, and performance benchmarks that tie your work directly to applied machine learning systems.
Search LCA filings to find proven sponsors
Use Migrate Mate to filter employers by verified H-1B LCA filing history for AI and platform engineering roles, so you're targeting companies that have already cleared the DOL certification process for positions like yours.
Check E-Verify enrollment before accepting an offer
If you're on STEM OPT and transitioning to H-1B, your current employer must be E-Verify enrolled. Confirm enrollment status with HR before your OPT end date, because a gap in authorization can't be retroactively fixed.
Use OFLC Wage Search to anchor your salary ask
Pull the prevailing wage for your target SOC code and work location using OFLC Wage Search before your offer conversation. Employers must pay at least the prevailing wage on the LCA, so knowing Level II versus Level III thresholds gives you a factual floor.
Time your cap-gap window against project timelines
If you're bridging OPT to H-1B under cap-gap, your authorization extends through September 30 but work authorization ends if USCIS denies the petition. Avoid accepting roles with critical delivery milestones that fall after that date without a contingency plan.
H-1B Visa AI Platform Engineer: Frequently Asked Questions
Does an AI Platform Engineer role qualify as a specialty occupation for H-1B purposes?
Yes, provided the position genuinely requires at least a bachelor's degree in a directly related field such as computer science, software engineering, or machine learning. USCIS scrutinizes platform engineering titles more than pure software roles, so the job description must clearly tie day-to-day responsibilities to a specific theoretical body of knowledge, not just general technical skill.
Which SOC code do employers typically use when filing H-1B petitions for AI Platform Engineers?
Most employers file under SOC 15-1252 (Software Developers) or 15-1299 (Computer Occupations, All Other), depending on how the role is structured. The SOC code determines the prevailing wage level your employer must certify on the LCA. You can verify which codes appear most often for this title by reviewing DOL disclosure data or searching employer LCA filings on Migrate Mate.
What makes H-1B RFEs more likely for AI Platform Engineer positions?
USCIS issues RFEs when the specialty occupation connection isn't obvious from the job description alone. Broad titles like 'platform engineer' or responsibilities that mix DevOps, infrastructure, and ML without anchoring them to a specific degree field raise adjudicator questions. Including architecture documentation, ML system design artifacts, and degree-specific role requirements in the initial petition significantly reduces RFE risk.
How do I find employers actively sponsoring H-1B visas for AI Platform Engineer roles?
Search Migrate Mate to browse AI Platform Engineer jobs filtered by employers with verified H-1B LCA filing history. This surfaces companies that have already completed DOL labor condition certification for similar roles, meaning they're familiar with the sponsorship process and less likely to withdraw an offer when they see the filing requirements.
Can my employer use premium processing for an AI Platform Engineer H-1B petition?
Yes. Premium processing is available for H-1B petitions and guarantees a USCIS decision within 15 business days. It's particularly useful for AI Platform Engineer roles where RFEs are more common, because a faster initial decision leaves more time to respond without disrupting your start date. Employers typically pay the premium processing fee, but confirm this during your offer negotiation.