H-1B Visa Genai Engineer Jobs
GenAI Engineer roles qualify as H-1B visa specialty occupations under the software developer SOC classification, requiring at least a bachelor's degree in computer science, AI, or a related field. Employers filing H-1B petitions for this role must certify a prevailing wage through DOL before USCIS adjudicates the petition.
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Get Access To All JobsINTRODUCTION
We're looking for a Staff Software Engineer with deep experience in GenAI/ML to join Datadog's Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize services. With distributed tracing, profiling, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM provides some of the deepest and most structured visibility into the health and performance of applications. This context sets us up for an opportunity to be the world leaders in agentic investigations and incident troubleshooting.
You'll act as a technical leader within the APM group, focused on agentic workflows. You'll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. We're looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You'll Do:
- Act as a technical leader within the APM organization, driving GenAI/machine learning projects from concept to production.
- Build and benchmark GenAI/ML models using state-of-the-art techniques.
- Collaborate with cross-functional teams to build automated investigation and triaging tools.
- Influence product direction by bringing a strong product mindset to your work, always advocating for the end user.
- Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction.
- Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups.
Who You Are:
- You have a BS/MS/PhD in a scientific field or equivalent experience
- 10+ years of relevant engineering experience, as well as experience acting as a technical lead
- Proven track record of leading large-scale GenAI/ML initiatives in a product-driven environment
- You have significant experience in model deployment, development, training, fine-tuning, or evaluation
- Ability to drive initiatives across cross-functional teams, and solve ambiguous challenges
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development.
- Have a lot of influence on product direction and impact on the business.
- Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn
- Competitive global benefits
- Continuous professional development
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
INTRODUCTION
We're looking for a Staff Software Engineer with deep experience in GenAI/ML to join Datadog's Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize services. With distributed tracing, profiling, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM provides some of the deepest and most structured visibility into the health and performance of applications. This context sets us up for an opportunity to be the world leaders in agentic investigations and incident troubleshooting.
You'll act as a technical leader within the APM group, focused on agentic workflows. You'll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. We're looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You'll Do:
- Act as a technical leader within the APM organization, driving GenAI/machine learning projects from concept to production.
- Build and benchmark GenAI/ML models using state-of-the-art techniques.
- Collaborate with cross-functional teams to build automated investigation and triaging tools.
- Influence product direction by bringing a strong product mindset to your work, always advocating for the end user.
- Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction.
- Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups.
Who You Are:
- You have a BS/MS/PhD in a scientific field or equivalent experience
- 10+ years of relevant engineering experience, as well as experience acting as a technical lead
- Proven track record of leading large-scale GenAI/ML initiatives in a product-driven environment
- You have significant experience in model deployment, development, training, fine-tuning, or evaluation
- Ability to drive initiatives across cross-functional teams, and solve ambiguous challenges
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development.
- Have a lot of influence on product direction and impact on the business.
- Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn
- Competitive global benefits
- Continuous professional development
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
See all 145+ H-1B Visa Genai Engineer Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Genai Engineer
Align your resume to SOC codes
GenAI Engineer roles are typically filed under SOC 15-1252 (Software Developers) or 15-2051 (Data Scientists). Match your resume's job titles and skill descriptions to the SOC code your target employer will use when certifying your prevailing wage with DOL.
Verify prevailing wage tier before negotiating
Use the OFLC Wage Search to look up the Level I through Level IV wage for your target SOC code and work location before any offer conversation. Knowing the certified wage floor protects you from offers that won't survive USCIS scrutiny.
Target employers with LCA history in AI roles
Search Migrate Mate to filter employers by H-1B filing history specifically in AI and machine learning job titles. Companies that have certified LCAs for GenAI roles before understand the specialty occupation documentation requirements and move faster through the process.
Document your model architecture contributions
USCIS RFEs for software roles increasingly challenge whether the position truly requires a specific degree. Build a work portfolio showing your direct contributions to LLM fine-tuning, RAG pipelines, or model evaluation frameworks to support the specialty occupation determination.
Confirm E-Verify enrollment before cap-gap reliance
If you're transitioning from F-1 OPT to H-1B status and relying on the cap-gap extension, your employer must be enrolled in E-Verify. An employer that isn't enrolled can't legally employ you during the cap-gap period even with a timely-filed petition.
Request premium processing at petition filing
GenAI roles attract scrutiny under specialty occupation standards. Premium processing gets USCIS to issue a decision within 15 business days, so you learn quickly whether an RFE is coming rather than waiting months during standard adjudication.
H-1B Visa Genai Engineer: Frequently Asked Questions
Does a GenAI Engineer role qualify as a specialty occupation for H-1B purposes?
Yes, provided the position requires at least a bachelor's degree in a directly related field such as computer science, machine learning, or applied mathematics. USCIS looks at whether the degree requirement is standard for entry into the occupation, so your employer's job description must specify the degree field, not just list it as preferred.
Which SOC code do employers typically use when filing H-1B petitions for GenAI Engineers?
Most employers file under SOC 15-1252 (Software Developers) or SOC 15-2051 (Data Scientists), depending on whether the role centers on building AI-powered applications or developing and evaluating models. The SOC code determines which prevailing wage level DOL certifies, so confirm with your employer which code they plan to use before the LCA is submitted.
How do I find employers actively sponsoring H-1B visas for GenAI Engineer roles?
Migrate Mate surfaces employers with verified H-1B LCA filing history filtered by AI and machine learning job titles, so you can identify companies that have already navigated the specialty occupation certification process for roles like yours. This is more reliable than guessing from general company reputation, since actual DOL filings confirm sponsorship willingness.
Can I change employers mid-H-1B if a better GenAI role comes along?
Yes. Under H-1B portability rules, you can start working for a new employer as soon as they file a new H-1B petition on your behalf, as long as your previous status was lawfully maintained. The new employer must file a fresh LCA with DOL certified for the new role and work location before USCIS can adjudicate the transfer petition.
What documentation strengthens an H-1B petition for a GenAI Engineer position?
The employer's support letter must explain why the specific role requires a degree in a directly related field, not just a general technology background. Supporting evidence that helps includes O*NET job zone data for the occupation, internal job postings that list degree requirements, and your own work samples showing work that requires specialized knowledge, such as model training pipelines or RAG architecture design documents.