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
The Principal AI Platform Engineer is a technical leader responsible for defining and driving the architecture, strategy, and execution of AI platform capabilities across the ULTRUS platform and broader UL Solutions product portfolio. This role owns the design and evolution of core AI platform services, including scalable RAG (Retrieval-Augmented Generation) pipelines, advanced multi-agent orchestration frameworks, and enterprise-grade APIs and microservices.
Operating with significant autonomy, this individual ensures the platform meets the highest standards of scalability, reliability, security, and cost-efficiency, while enabling rapid adoption of AI across products. They guide cross-team engineering efforts, establish best practices for agentic AI systems and LLM integration, and influence long-term platform direction.
In addition to hands-on architecture and development, the Principal Engineer mentors senior engineers, drives technical excellence, and partners with product and leadership teams to translate business priorities into robust, production-ready AI platform capabilities.
ROLE AND RESPONSIBILITIES
- Define and drive the AI platform architecture and technical strategy across ULTRUS and broader product portfolio
- Design and evolve core AI platform services (RAG, agentic workflows, APIs, orchestration frameworks) for enterprise-scale use
- Establish standardized patterns for LLM integration, model routing, and AI service consumption across teams
- Lead design of scalable RAG and knowledge retrieval systems, including ingestion, embeddings, and retrieval optimization
- Own platform-level decisions on infrastructure (Azure, AKS, vector DBs, CI/CD, observability) for performance, cost, and security
- Define and implement AI observability, evaluation, and guardrails (latency, quality, drift, safety, cost)
- Provide technical leadership and mentorship across teams; drive architecture reviews and engineering standards
- Partner with product and leadership to translate business priorities into reusable AI platform capabilities
BASIC QUALIFICATIONS
- 10+ years in software engineering with strong distributed systems / SaaS platform experience
- 4+ years building production AI/ML or LLM-based systems (RAG, APIs, agents, or ML services)
- Deep experience with Azure AI ecosystem (Azure OpenAI, AI Foundry, Azure ML, AKS, AI Search)
- Strong hands-on expertise in AI frameworks (LangChain, LangGraph, Semantic Kernel, or similar)
- Proven ability to design scalable AI platforms, APIs, and microservices architectures
- Strong understanding of RAG systems, retrieval optimization, and LLM limitations (hallucination, safety, evaluation)
- Experience with Kubernetes, Docker, CI/CD, and production observability practices
- Demonstrated technical leadership, mentoring, and cross-team architectural influence
- Familiarity with AI governance, responsible AI, and enterprise compliance environments
PREFERRED QUALIFICATIONS
What you’ll experience working for ULS
UL Solutions has been pioneering change since 1894 and we’re still leading the way. From day one, we’ve blazed a trail protecting the planet and everyone on it. Our teams have influenced billions of products, plus services, software offerings and more. We break things, burn things and blow things up. All in the name of safety science.
That’s where you come in — because none of it could happen without you. It takes passion to protect people, problem-solving to safeguard personal data and conviction to make the world a more sustainable place. It takes bold ideas and brilliant minds to build a better world for future generations across the globe.
This is more than a job. It’s a calling. A passion to use our expertise and play our part in creating a more secure, sustainable world today — and tomorrow. As a member of our safety science community, you’ll use your ideas, your energy and your ambition to innovate, challenge and ultimately, help create a safer world.
Everyone here is unique. But we’re also a global community, working together to help create a safer world. Join UL Solutions and you can connect with the brightest minds in the business, all bringing their distinct perspectives and diverse backgrounds together to deliver real change.
Empowering our customers to keep the world safe means thinking ahead. It means investing in training and empowering our people to learn and innovate. At UL Solutions, we help build a better future — one where everyone benefits.
Join UL Solutions to be at the center of safety. To learn more about us and the work we do, visit UL.com
COMPENSATION
- Total Rewards: We understand compensation is an important factor as you consider the next step in your career. The estimated salary range for this position is $155,000 to $220,000 USD and is based on multiple factors, including job-related knowledge/skills, experience, geographical location, as well as other factors. This position is eligible for annual bonus compensation with a target payout of 20% of the base salary. This position also provides health benefits such as medical, dental and vision; wellness benefits such as mental and financial health; and retirement savings (401K) commensurate with the standard rewards offered in each individual location or country. We also provide full-time employees with paid time off including vacation (15 days), holiday including floating holidays (12 days) and sick time off (72 hours).
LI-SG2
LI-Hybrid
A global leader in applied safety science, UL Solutions (NYSE: ULS) transforms safety, security and sustainability challenges into opportunities for customers in more than 110 countries. UL Solutions delivers testing, inspection and certification services, together with software products and advisory offerings, that support our customers’ product innovation and business growth. The UL Mark serves as a recognized symbol of trust in our customers’ products and reflects an unwavering commitment to advancing our safety mission. We help our customers innovate, launch new products and services, navigate global markets and complex supply chains, and grow sustainably and responsibly into the future. Our science is your advantage.
When you combine the gravitas of a 130-year-old safety science leader with a culture of innovation that pushes the boundaries in new services and technology, you get UL Solutions. As a global team of business and engineering experts, we develop software for a huge range of industries, including medical, sustainability, renewable energy and healthy buildings. Together, we’re dedicated to making a real-world difference, to using our knowledge for good and to pioneering positive change. Join our team and use your expertise to transform global safety, security and sustainability.
INTRODUCTION
The Principal AI Platform Engineer is a technical leader responsible for defining and driving the architecture, strategy, and execution of AI platform capabilities across the ULTRUS platform and broader UL Solutions product portfolio. This role owns the design and evolution of core AI platform services, including scalable RAG (Retrieval-Augmented Generation) pipelines, advanced multi-agent orchestration frameworks, and enterprise-grade APIs and microservices.
Operating with significant autonomy, this individual ensures the platform meets the highest standards of scalability, reliability, security, and cost-efficiency, while enabling rapid adoption of AI across products. They guide cross-team engineering efforts, establish best practices for agentic AI systems and LLM integration, and influence long-term platform direction.
In addition to hands-on architecture and development, the Principal Engineer mentors senior engineers, drives technical excellence, and partners with product and leadership teams to translate business priorities into robust, production-ready AI platform capabilities.
ROLE AND RESPONSIBILITIES
- Define and drive the AI platform architecture and technical strategy across ULTRUS and broader product portfolio
- Design and evolve core AI platform services (RAG, agentic workflows, APIs, orchestration frameworks) for enterprise-scale use
- Establish standardized patterns for LLM integration, model routing, and AI service consumption across teams
- Lead design of scalable RAG and knowledge retrieval systems, including ingestion, embeddings, and retrieval optimization
- Own platform-level decisions on infrastructure (Azure, AKS, vector DBs, CI/CD, observability) for performance, cost, and security
- Define and implement AI observability, evaluation, and guardrails (latency, quality, drift, safety, cost)
- Provide technical leadership and mentorship across teams; drive architecture reviews and engineering standards
- Partner with product and leadership to translate business priorities into reusable AI platform capabilities
BASIC QUALIFICATIONS
- 10+ years in software engineering with strong distributed systems / SaaS platform experience
- 4+ years building production AI/ML or LLM-based systems (RAG, APIs, agents, or ML services)
- Deep experience with Azure AI ecosystem (Azure OpenAI, AI Foundry, Azure ML, AKS, AI Search)
- Strong hands-on expertise in AI frameworks (LangChain, LangGraph, Semantic Kernel, or similar)
- Proven ability to design scalable AI platforms, APIs, and microservices architectures
- Strong understanding of RAG systems, retrieval optimization, and LLM limitations (hallucination, safety, evaluation)
- Experience with Kubernetes, Docker, CI/CD, and production observability practices
- Demonstrated technical leadership, mentoring, and cross-team architectural influence
- Familiarity with AI governance, responsible AI, and enterprise compliance environments
PREFERRED QUALIFICATIONS
What you’ll experience working for ULS
UL Solutions has been pioneering change since 1894 and we’re still leading the way. From day one, we’ve blazed a trail protecting the planet and everyone on it. Our teams have influenced billions of products, plus services, software offerings and more. We break things, burn things and blow things up. All in the name of safety science.
That’s where you come in — because none of it could happen without you. It takes passion to protect people, problem-solving to safeguard personal data and conviction to make the world a more sustainable place. It takes bold ideas and brilliant minds to build a better world for future generations across the globe.
This is more than a job. It’s a calling. A passion to use our expertise and play our part in creating a more secure, sustainable world today — and tomorrow. As a member of our safety science community, you’ll use your ideas, your energy and your ambition to innovate, challenge and ultimately, help create a safer world.
Everyone here is unique. But we’re also a global community, working together to help create a safer world. Join UL Solutions and you can connect with the brightest minds in the business, all bringing their distinct perspectives and diverse backgrounds together to deliver real change.
Empowering our customers to keep the world safe means thinking ahead. It means investing in training and empowering our people to learn and innovate. At UL Solutions, we help build a better future — one where everyone benefits.
Join UL Solutions to be at the center of safety. To learn more about us and the work we do, visit UL.com
COMPENSATION
- Total Rewards: We understand compensation is an important factor as you consider the next step in your career. The estimated salary range for this position is $155,000 to $220,000 USD and is based on multiple factors, including job-related knowledge/skills, experience, geographical location, as well as other factors. This position is eligible for annual bonus compensation with a target payout of 20% of the base salary. This position also provides health benefits such as medical, dental and vision; wellness benefits such as mental and financial health; and retirement savings (401K) commensurate with the standard rewards offered in each individual location or country. We also provide full-time employees with paid time off including vacation (15 days), holiday including floating holidays (12 days) and sick time off (72 hours).
LI-SG2
LI-Hybrid
A global leader in applied safety science, UL Solutions (NYSE: ULS) transforms safety, security and sustainability challenges into opportunities for customers in more than 110 countries. UL Solutions delivers testing, inspection and certification services, together with software products and advisory offerings, that support our customers’ product innovation and business growth. The UL Mark serves as a recognized symbol of trust in our customers’ products and reflects an unwavering commitment to advancing our safety mission. We help our customers innovate, launch new products and services, navigate global markets and complex supply chains, and grow sustainably and responsibly into the future. Our science is your advantage.
When you combine the gravitas of a 130-year-old safety science leader with a culture of innovation that pushes the boundaries in new services and technology, you get UL Solutions. As a global team of business and engineering experts, we develop software for a huge range of industries, including medical, sustainability, renewable energy and healthy buildings. Together, we’re dedicated to making a real-world difference, to using our knowledge for good and to pioneering positive change. Join our team and use your expertise to transform global safety, security and sustainability.
See all 226+ H-1B Visa AI Platform Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa AI Platform Engineer Jobs.
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.