Genai Engineer Jobs in USA with Visa Sponsorship
GenAI Engineer roles rank among the most actively sponsored positions in tech right now, with H-1B visa and O-1A visas being the most common pathways. Employers filing LCAs for AI and machine learning roles have grown significantly, and specialty occupation status is well-established for this field. For detailed occupation requirements, see the O*NET profile.
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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.
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Get Access To All JobsTips for Finding Visa Sponsorship as a Genai Engineer
Lead with your AI stack, not your job title
Recruiters scanning for sponsored GenAI roles look for specific tools: PyTorch, LangChain, RAG pipelines, fine-tuning workflows. List these prominently on your resume. A generic 'AI Engineer' title with a strong stack gets more callbacks than a polished title with vague skills.
Target companies with active LCA filings in AI
Companies that have filed Labor Condition Applications for AI or machine learning roles in the past 12 months are significantly more likely to sponsor again. Look for patterns in DOL disclosure data. Repeat filers have established legal processes, which means faster, smoother sponsorship for you.
Clarify your visa status early, not at offer stage
Many GenAI hiring managers aren't familiar with visa timelines. Mentioning your status early, framing it as a straightforward process, prevents late-stage deal-breakers. A brief explanation of H-1B or O-1 visa requirements during early conversations sets realistic expectations for both sides.
A degree in CS, ML, or a related field strengthens your case
H-1B specialty occupation requires a degree directly related to the role. For GenAI positions, computer science, electrical engineering, mathematics, or statistics degrees map cleanly. If your degree is in another field, documented experience in machine learning or AI systems becomes especially critical to include.
O-1A is worth exploring if you have recognized AI work
Published research, open-source contributions with significant adoption, speaking at major AI conferences, or high-citation papers can support an O-1A petition. This visa has no lottery and no annual cap, making it a strong alternative for GenAI engineers with a visible track record in the field.
Use Migrate Mate to filter for roles that explicitly sponsor
Most job boards don't surface visa sponsorship availability clearly. Migrate Mate is built specifically to show which GenAI Engineer roles include sponsorship, saving you hours of researching individual companies before applying. Browse open roles filtered by sponsorship status to prioritize where your time goes.
Frequently Asked Questions
Is GenAI Engineer considered a specialty occupation for H-1B purposes?
Yes. GenAI Engineer roles qualify as specialty occupations under H-1B visa standards because they require at minimum a bachelor's degree in a specific technical field, typically computer science, machine learning, mathematics, or a directly related discipline. USCIS has consistently approved H-1B petitions for AI and machine learning engineering roles, and the DOL regularly certifies LCAs for these positions without significant challenge.
How competitive is H-1B sponsorship for GenAI Engineers compared to other tech roles?
GenAI is one of the highest-demand areas in tech right now, which cuts both ways. More companies are willing to sponsor because the talent pool with these specific skills is limited. However, you still face the annual H-1B lottery if you're cap-subject. In FY2025, USCIS selected roughly 25% of registrations. Companies hiring GenAI engineers frequently use cap-exempt routes, such as university research positions or nonprofit affiliations, to bypass the lottery entirely.
Can I qualify for an O-1A visa as a GenAI Engineer?
Yes, if you have demonstrable recognition in the field. Published research in peer-reviewed AI journals, significant open-source contributions, presentations at recognized conferences like NeurIPS or ICML, or employment in a critical role at a leading AI organization can all support an O-1A petition. The O-1A has no lottery and no annual cap, making it a practical alternative for engineers with a visible track record who want to avoid H-1B uncertainty.
What degree do I need for a sponsored GenAI Engineer role?
A bachelor's degree or higher in computer science, electrical engineering, applied mathematics, statistics, or a closely related field satisfies the H-1B specialty occupation requirement for most GenAI Engineer positions. Degrees in unrelated fields create complications. If your degree doesn't align, three years of directly relevant professional experience can substitute for each year of missing education under USCIS equivalency rules, though this requires careful documentation and is scrutinized more closely.
Where can I find GenAI Engineer jobs that offer visa sponsorship?
Most general job boards don't filter by sponsorship availability, so you waste time applying to roles that won't sponsor. Migrate Mate is built specifically for international job seekers and surfaces GenAI Engineer roles where employers have indicated willingness to sponsor. You can browse current openings filtered by sponsorship status, which saves significant time in your search.
What is the prevailing wage requirement for sponsored Genai 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.