AI Platform Engineer Jobs in USA with Visa Sponsorship
AI Platform Engineers are among the most actively sponsored roles in tech right now. Employers filing H-1B visa petitions for this title typically require a degree in computer science, software engineering, or a related field, and USCIS consistently classifies the role as a specialty occupation. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsTitle: AI Engineer
Duration: 6 Months
Location: Remote
Job Description:
Role Summary
We have a capable engineering team working on a complex legacy-to-Python migration and multiple customer-facing platforms. We don't need another developer — we need someone whose primary job is to make the entire team 3-5x faster by building AI-powered automation across every phase of the SDLC: requirements extraction, code generation, testing, defect analysis, and release. This person doesn't just use AI — they architect AI-driven engineering workflows that multiply the output of every developer on the team.
Required Skills (Must-Have):
- AI Agent Development & Orchestration: #1 differentiator. Proven experience building multi-step AI agent workflows for engineering tasks — chaining code analysis, generation, validation, feedback. GitHub Copilot, Claude, LangChain, custom agents, or equivalent.
- SDLC Automation & DevOps: Track record of automating significant portions of the delivery lifecycle — CI/CD, automated testing, code quality gates, release automation (GitHub Actions).
- Python (strong proficiency): Primary codebase is Python — data processing, JSON transformations, modular architecture. Must build tooling and review/generate code at scale.
- Automated Testing Frameworks: AI-augmented regression suites, diff/comparison tooling, scenario-based test generation, golden-file validation. pytest, CI integration.
- Advanced Prompt Engineering: Complex multi-step prompts for code generation, legacy code analysis, business rule extraction. Knows how to structure context, manage token limits, and validate AI outputs.
Requirements
- 7+ years of experience
Preferred Skills
- Legacy code analysis — Parsing unfamiliar proprietary languages to extract business logic via AI
- Java / Spring Boot — Secondary platforms are Java-based
- Elasticsearch, Azure / AKS / Cosmos DB — Platform technologies
- Healthcare data / MDM domain
Key Attributes
- AI-native thinker — Every manual process is an automation opportunity. AI is the primary development engine, not a side tool.
- Force multiplier — Measures success by how much faster they make the entire team, not by their own code output
- Builder of systems — Creates reusable tooling, agent templates, and playbooks the whole team adopts
- Pragmatic and fast — Ships working automation in days, not weeks. Iterates rapidly.
Environment
Python, Java/Spring Boot, Elasticsearch, Azure (AKS, Cosmos DB), GitHub, Jira, HPCC/ECL (legacy) | GitHub Copilot, Claude, SDD, AI-DLC | Agile, 2-week sprints
Title: AI Engineer
Duration: 6 Months
Location: Remote
Job Description:
Role Summary
We have a capable engineering team working on a complex legacy-to-Python migration and multiple customer-facing platforms. We don't need another developer — we need someone whose primary job is to make the entire team 3-5x faster by building AI-powered automation across every phase of the SDLC: requirements extraction, code generation, testing, defect analysis, and release. This person doesn't just use AI — they architect AI-driven engineering workflows that multiply the output of every developer on the team.
Required Skills (Must-Have):
- AI Agent Development & Orchestration: #1 differentiator. Proven experience building multi-step AI agent workflows for engineering tasks — chaining code analysis, generation, validation, feedback. GitHub Copilot, Claude, LangChain, custom agents, or equivalent.
- SDLC Automation & DevOps: Track record of automating significant portions of the delivery lifecycle — CI/CD, automated testing, code quality gates, release automation (GitHub Actions).
- Python (strong proficiency): Primary codebase is Python — data processing, JSON transformations, modular architecture. Must build tooling and review/generate code at scale.
- Automated Testing Frameworks: AI-augmented regression suites, diff/comparison tooling, scenario-based test generation, golden-file validation. pytest, CI integration.
- Advanced Prompt Engineering: Complex multi-step prompts for code generation, legacy code analysis, business rule extraction. Knows how to structure context, manage token limits, and validate AI outputs.
Requirements
- 7+ years of experience
Preferred Skills
- Legacy code analysis — Parsing unfamiliar proprietary languages to extract business logic via AI
- Java / Spring Boot — Secondary platforms are Java-based
- Elasticsearch, Azure / AKS / Cosmos DB — Platform technologies
- Healthcare data / MDM domain
Key Attributes
- AI-native thinker — Every manual process is an automation opportunity. AI is the primary development engine, not a side tool.
- Force multiplier — Measures success by how much faster they make the entire team, not by their own code output
- Builder of systems — Creates reusable tooling, agent templates, and playbooks the whole team adopts
- Pragmatic and fast — Ships working automation in days, not weeks. Iterates rapidly.
Environment
Python, Java/Spring Boot, Elasticsearch, Azure (AKS, Cosmos DB), GitHub, Jira, HPCC/ECL (legacy) | GitHub Copilot, Claude, SDD, AI-DLC | Agile, 2-week sprints
See all 19,664+ AI Platform Engineer Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as an AI Platform Engineer
Target companies with existing AI infrastructure buildouts
Large tech firms, cloud providers, and AI-native startups are investing heavily in platform teams right now. These organizations have established immigration counsel and sponsor H-1B, O-1 visa, and L-1 visas regularly, making them far more likely to move quickly on sponsorship.
Align your degree field to the role as precisely as possible
USCIS scrutinizes specialty occupation status for platform engineering roles. A degree in computer science, electrical engineering, or information systems strengthens your petition. A business or unrelated degree will likely trigger an RFE and require additional documentation to overcome.
Document your MLOps and infrastructure work with measurable outcomes
Sponsoring employers need to justify the specialty occupation classification. Quantified examples of platforms you built, models you deployed at scale, or infrastructure you designed help immigration counsel build a stronger petition and reduce the risk of USCIS challenges.
Understand the difference between cap-subject and cap-exempt employers
Universities, nonprofit research institutions, and government-affiliated labs are cap-exempt, meaning they can file H-1B petitions year-round without entering the lottery. For AI platform roles specifically, national labs and university research centers are worth targeting if lottery odds concern you.
Consider the O-1A if your work has produced notable recognition
AI platform engineers who have published research, presented at major conferences, or led high-profile open source projects may qualify for the O-1A extraordinary ability visa. It bypasses the H-1B lottery entirely and has no annual cap or nationality restrictions.
Filter your job search to verified sponsoring employers from the start
Applying broadly wastes time on roles where sponsorship was never an option. Migrate Mate lists jobs from employers actively willing to sponsor, so you can focus your applications on companies that have already confirmed they will support the visa process.
Frequently Asked Questions
Is AI Platform Engineer considered a specialty occupation for H-1B purposes?
Yes, in nearly all cases. USCIS evaluates specialty occupation status based on whether the role normally requires a bachelor's degree or higher in a specific field. AI Platform Engineer roles consistently meet this standard, as employers require computer science, software engineering, or a closely related degree. Roles that blend platform work with vague generalist responsibilities can occasionally draw an RFE, so the job description language your employer uses in the LCA matters.
What degree do I need to get H-1B sponsorship as an AI Platform Engineer?
A bachelor's degree or higher in computer science, software engineering, electrical engineering, or information systems is the standard requirement. Some employers also accept degrees in applied mathematics or data science if your coursework directly supports the platform engineering functions of the role. Unrelated degrees, such as business or liberal arts, will create specialty occupation problems unless you can supplement with substantial relevant coursework or a related advanced degree.
How competitive is the H-1B lottery for AI Platform Engineers compared to other tech roles?
The lottery itself applies equally to all cap-subject petitions regardless of job title. What differs is employer strategy. Many companies hiring AI Platform Engineers file early, use premium processing, and work with experienced immigration counsel, which doesn't change lottery odds but does reduce delays after selection. If you're concerned about lottery risk, cap-exempt employers and O-1A eligibility are worth evaluating before the registration window opens.
Can I switch employers on an H-1B as an AI Platform Engineer without losing my status?
Yes. Under H-1B visa portability, you can start working for a new employer as soon as they file an H-1B transfer petition, without waiting for approval, provided you've maintained valid status. The new employer needs to file a new LCA certified by the Department of Labor for the specific worksite and wage level. For AI platform roles, this process is generally straightforward since the specialty occupation classification is well-established.
Where can I find AI Platform Engineer jobs that explicitly offer visa sponsorship?
Migrate Mate is built specifically for this. Every listing on Migrate Mate is from an employer willing to sponsor, so you're not wasting applications on roles that will decline at the offer stage. You can browse AI Platform Engineer roles directly and filter by visa type, which is particularly useful if you're weighing H-1B cap-subject employers against cap-exempt options or companies open to O-1A sponsorship.
What is the prevailing wage requirement for sponsored AI Platform Engineer 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.