H-1B Visa AI Platform Engineer Jobs
AI Platform Engineer roles sit squarely within H-1B 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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Who we are
Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.
Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.
About the role:
Do you get excited about creating high-impact AI applications that employees rely on every day?
Samsara’s Integrations, Data Engineering, and AI (IDEA) team is a key part of Samsara’s Business Technology organization, driving innovation through data and AI. Our mission is to empower and enable everyone at Samsara with AI-powered tools and capabilities so they can get their work done more effectively. We bridge technology, innovation, and business needs to infuse AI-powered solutions into our organization.
We are looking for a hands-on AI platform Engineer to build, ship, and scale Samsara’s Enterprise AI platform that provides end-to-end capabilities for AI agents to be deployed, managed, governed etc. As a Senior AI Platform Engineer, you’ll own the full lifecycle of AI-powered systems — from initial design and prototyping to production deployment, monitoring, and iteration. You will collaborate with architects, engineers, and cross-functional stakeholders across Samsara to brainstorm, design, rapidly prototype, and productionalize AI-driven features and capabilities that integrate deeply into real business workflows.
This role is open to candidates residing in the US except Alaska, Austin Metro, Boulder Metro, California, Chicago Metro, Connecticut, Dallas Metro, Denver Metro, Houston Metro, Maryland, Massachusetts, New Jersey, New York, Rhode Island, Seattle Metro, and Washington, D.C.
You should apply if:
- You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
- You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment, and mastery of your craft in a hyper-growth environment.
- You are energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
- You want to be with the best: At Samsara, we win together, celebrate together, and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best.
In this role, you will:
- Build, and own end-to-end Data & AI platform (Databricks, AWS or other tech stack) from ideation, prototyping, production deployment and monitoring.
- Architect and scale company-wide GenAI capabilities to support domain-specific business AI Agents that are embedded into real operational workflows.
- Provide documentation and support to business users to deploy and manage AI agents at scale.
- Lead platform investments in areas like RAG infrastructure, embedding pipelines, LLM orchestration, and multi-modal data processing.
- Serve as a technical anchor and mentor for the broader AI & Data team, raising the engineering bar across the organization.
- Design and integrate AI solutions with internal systems and third-party platforms, including SaaS tools, APIs, data platforms, and enterprise systems.
- Develop and launch AI-powered solutions to improve efficiency and personalization across business functions such as Customer Support, People/HR, Legal, and Finance.
- Collaborate closely with top-tier engineers, data scientists, and business users in a fast-moving environment.
- Apply and scale software engineering excellence, including reliability, observability, and maintainability of production data & AI systems.
Minimum Requirements for the role:
- Bachelor’s or Master’s degree in Computer Science or related Engineering discipline.
- 10+ years of industry experience in software engineering or data platform development, including:
- 3+ years of experience owning the development, testing, deployment, monitoring, and support of web applications and backend APIs.
- 0-1+ year of experience building and deploying production-ready Generative AI solutions, with responsibility for reliability and performance.
- 1+ year of experience in administering AWS platform.
- Strong expertise in Python and AI/ML fundamentals, particularly Generative AI solutions (e.g., LLMs, vector databases, prompt engineering, embeddings, RAG systems).
- Experience with AI agent development frameworks and tooling (e.g., LangChain, LangGraph, CrewAI, LlamaIndex, OpenAI SDK, MCP, A2A).
An ideal candidate is:
- Experienced in 0→1 MVP development, iterative prototyping, and evolving prototypes into production-grade systems.
- Passionate about staying up to date with industry news, AI development trends, tools, and best practices.
- Knowledgeable about SDLC best practices and actively experiments with and adopts modern AI development tools and patterns.
- An excellent communicator with the ability to work effectively in cross-functional settings and translate business needs into technical solutions.
Annual Base Salary
- $134,470—$180,800 USD
The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below.
Total Rewards
At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.
Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.
Flexible Working
At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.
Belonging at Samsara
At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.
Accommodations
Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.
Our Commitment to Authenticity
We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information.
Fraudulent Employment Offers
Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.
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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.
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.
AI Platform Engineer jobs are hiring across the US. Find yours.
Find AI Platform Engineer JobsAI Platform Engineer H-1B Visa: 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.
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