H-1B Visa AI Data Engineer Jobs
AI Data Engineer roles qualify as H-1B visa specialty occupations under the computer and information systems job category, requiring at least a bachelor's degree in computer science, data engineering, or a related field. Employers across tech, finance, and healthcare file H-1B petitions for these roles every cap season, making it one of the more consistently sponsored titles in the data space.
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Get Access To All JobsStep into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
What we can offer:
A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success.
We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value. At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board. We want our colleagues to grow with our global business. That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits. Come join the team!
The Opportunity:
We are looking for a highly versatile Data Scientist / AI Engineer who can work at the intersection of data science, AI engineering, internal product, operations, and business stakeholders. This role is ideal for someone who can analyze large-scale operational data, identify opportunities for automation and optimization, and build practical AI-powered tools that improve Contact Center and Voice of Customer operations.
The ideal candidate is not only strong in analytics and machine learning, but also comfortable building lightweight applications, integrating AI APIs, creating dashboards, presenting ideas to stakeholders, and working closely with cross-functional teams to turn ambiguous business problems into scalable solutions.
This person will support contact center operations by delivering actionable insights, automating manual workflows, improving operational efficiency, and contributing to reusable AI frameworks that can be scaled across teams and use cases.
A key focus of this role is to leverage AI and contact center call data to identify agent performance gaps, customer pain points, process issues, and quality risks, and translate those findings into practical corrective actions and coaching recommendations for agents and supervisors. The candidate will be expected to go beyond reporting and insight generation by helping operational teams take measurable actions that improve agent behavior, call quality, customer experience, and overall contact center performance.
Responsibilities:
- Analyze contact center, customer, operational, and Voice of Customer data to identify trends, monitor KPIs, and provide actionable insights.
- Build and automate dashboards, reports, and analytics workflows using Python, SQL, BigQuery, Looker, and related tools.
- Develop AI, automation, and optimization solutions to improve contact center performance, agent productivity, quality monitoring, and customer experience.
- Build internal tools and prototypes using Python, FastAPI, APIs, and front-end technologies as needed.
- Analyze call transcripts, QA data, CRM notes, and customer feedback to identify process gaps, coaching opportunities, and improvement areas.
- Partner with business and technical stakeholders to define requirements, validate solutions, and drive adoption.
- Prepare presentations, business cases, and executive updates for analytics, AI, and automation initiatives.
Education / Experience (Requirements):
- Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field.
- Strong experience with Python, SQL, data analysis, automation, and dashboard/report development.
- Experience with BI tools such as Looker, Tableau, Power BI, or similar platforms.
- Knowledge of machine learning, AI APIs, LLMs, prompt engineering, or generative AI tools.
- Ability to build internal tools or prototypes using FastAPI, Flask, JavaScript, HTML/CSS, or similar technologies.
- Strong analytical, communication, and presentation skills with the ability to translate data into business recommendations.
- Ability to manage multiple priorities and work independently in a fast-paced environment.
Preferred Qualifications:
- Experience with contact center, customer service, CRM, telephony, QA, chatbot/IVR, or Voice of Customer data.
- Familiarity with contact center KPIs such as AHT, SLA, FCR, CSAT, NPS, backlog, and agent utilization.
- Experience with cloud platforms, AI agents, RAG, internal copilots, workflow automation, MLOps, Git, Docker, or CI/CD.
- Experience with forecasting, optimization, workforce planning, or process improvement.
Technical Skills
Python, SQL, BigQuery, Looker, Excel, Java, FastAPI, Flask, REST APIs, HTML/CSS, JavaScript, LLMs, GPT APIs, NLP, machine learning, GCP/AWS, Git, Docker.
LI-TF1
Benefits Offered Full-Time Employees:
- No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
- Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
- Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
- Performance based Short-Term Incentives (varies by role).
- Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
- Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
- Group Rate Life and Disability Insurance.
Benefits Offered Temporary/Contractors:
- Eligible for the relevant benefit programs offered through our partner agencies.
Privacy Notice to California Applicants
Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.
All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied.
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
What we can offer:
A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success.
We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value. At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board. We want our colleagues to grow with our global business. That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits. Come join the team!
The Opportunity:
We are looking for a highly versatile Data Scientist / AI Engineer who can work at the intersection of data science, AI engineering, internal product, operations, and business stakeholders. This role is ideal for someone who can analyze large-scale operational data, identify opportunities for automation and optimization, and build practical AI-powered tools that improve Contact Center and Voice of Customer operations.
The ideal candidate is not only strong in analytics and machine learning, but also comfortable building lightweight applications, integrating AI APIs, creating dashboards, presenting ideas to stakeholders, and working closely with cross-functional teams to turn ambiguous business problems into scalable solutions.
This person will support contact center operations by delivering actionable insights, automating manual workflows, improving operational efficiency, and contributing to reusable AI frameworks that can be scaled across teams and use cases.
A key focus of this role is to leverage AI and contact center call data to identify agent performance gaps, customer pain points, process issues, and quality risks, and translate those findings into practical corrective actions and coaching recommendations for agents and supervisors. The candidate will be expected to go beyond reporting and insight generation by helping operational teams take measurable actions that improve agent behavior, call quality, customer experience, and overall contact center performance.
Responsibilities:
- Analyze contact center, customer, operational, and Voice of Customer data to identify trends, monitor KPIs, and provide actionable insights.
- Build and automate dashboards, reports, and analytics workflows using Python, SQL, BigQuery, Looker, and related tools.
- Develop AI, automation, and optimization solutions to improve contact center performance, agent productivity, quality monitoring, and customer experience.
- Build internal tools and prototypes using Python, FastAPI, APIs, and front-end technologies as needed.
- Analyze call transcripts, QA data, CRM notes, and customer feedback to identify process gaps, coaching opportunities, and improvement areas.
- Partner with business and technical stakeholders to define requirements, validate solutions, and drive adoption.
- Prepare presentations, business cases, and executive updates for analytics, AI, and automation initiatives.
Education / Experience (Requirements):
- Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field.
- Strong experience with Python, SQL, data analysis, automation, and dashboard/report development.
- Experience with BI tools such as Looker, Tableau, Power BI, or similar platforms.
- Knowledge of machine learning, AI APIs, LLMs, prompt engineering, or generative AI tools.
- Ability to build internal tools or prototypes using FastAPI, Flask, JavaScript, HTML/CSS, or similar technologies.
- Strong analytical, communication, and presentation skills with the ability to translate data into business recommendations.
- Ability to manage multiple priorities and work independently in a fast-paced environment.
Preferred Qualifications:
- Experience with contact center, customer service, CRM, telephony, QA, chatbot/IVR, or Voice of Customer data.
- Familiarity with contact center KPIs such as AHT, SLA, FCR, CSAT, NPS, backlog, and agent utilization.
- Experience with cloud platforms, AI agents, RAG, internal copilots, workflow automation, MLOps, Git, Docker, or CI/CD.
- Experience with forecasting, optimization, workforce planning, or process improvement.
Technical Skills
Python, SQL, BigQuery, Looker, Excel, Java, FastAPI, Flask, REST APIs, HTML/CSS, JavaScript, LLMs, GPT APIs, NLP, machine learning, GCP/AWS, Git, Docker.
LI-TF1
Benefits Offered Full-Time Employees:
- No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
- Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
- Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
- Performance based Short-Term Incentives (varies by role).
- Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
- Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
- Group Rate Life and Disability Insurance.
Benefits Offered Temporary/Contractors:
- Eligible for the relevant benefit programs offered through our partner agencies.
Privacy Notice to California Applicants
Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.
All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied.
See all 2,510+ H-1B Visa AI Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa AI Data Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an AI Data Engineer
Align your degree to the role
USCIS scrutinizes whether your specific degree field matches the job duties. A computer science or information systems degree maps cleanly to AI Data Engineer; a general business or unrelated STEM degree may trigger an RFE even when your skills are strong.
Use OFLC Wage Search before negotiating
Your employer must pay the DOL prevailing wage for your exact SOC code and work location. Pull the OFLC Wage Search figures for your metro area before you negotiate so your offer clears Level I or Level II minimums and avoids an LCA rejection.
Target employers with cap-exempt filing history
Universities, nonprofit research institutions, and government-affiliated entities can file H-1B petitions year-round without entering the lottery. If you're open to applied research or academic data roles, these organizations let you start without waiting for April registration.
Search verified sponsors on Migrate Mate
Filter your AI Data Engineer job search on Migrate Mate to see employers with confirmed H-1B LCA filing history for data engineering roles, so you're applying to companies that have already demonstrated willingness and capacity to sponsor.
Clarify cloud infrastructure duties in your offer letter
AI Data Engineer job descriptions that mix data pipeline work with general IT support can weaken the specialty occupation argument. Ask your employer to draft your offer letter with specific references to ML pipeline architecture, distributed systems, or model deployment rather than broad IT maintenance language.
File for premium processing if your start date is tight
USCIS premium processing guarantees a decision within 15 business days. If your current OPT or grace period is expiring close to October 1, confirm with your employer whether they'll cover the fee to avoid a gap in authorized work status.
H-1B Visa AI Data Engineer: Frequently Asked Questions
Does an AI Data Engineer role qualify as a specialty occupation for H-1B purposes?
Yes, provided the job duties require at least a bachelor's degree in a directly related field such as computer science, data engineering, or a related quantitative discipline. USCIS evaluates the specific duties listed in the job description and the LCA, not just the job title. Roles that mix AI pipeline work with general IT support can face scrutiny, so the job description should clearly tie duties to a specialized body of theoretical and practical knowledge.
Which employers most commonly sponsor H-1B visas for AI Data Engineers?
Technology companies, financial services firms, healthcare analytics organizations, and large retail or logistics companies with in-house data platforms are consistent H-1B sponsors for AI Data Engineer roles. You can identify employers with confirmed LCA filing history for these roles on Migrate Mate, which filters for employers that have already filed for comparable positions rather than those that simply post open roles.
What SOC code is typically used for AI Data Engineer H-1B petitions?
Most employers file AI Data Engineer petitions under SOC 15-1242 (Database Architects) or 15-2051 (Data Scientists), depending on whether the role emphasizes infrastructure and pipeline design or modeling and analysis. The SOC code your employer selects affects the DOL prevailing wage level on the LCA, so it's worth reviewing the O*NET occupation profile for both codes to confirm which aligns with your actual job duties before the LCA is filed.
Can I change employers mid-year as an H-1B AI Data Engineer?
Yes. H-1B portability under AC21 lets you start working for a new employer as soon as the new I-129 petition is filed, as long as your previous H-1B was approved and you've been in valid H-1B status. Your new employer files a fresh I-129 with a new LCA certified for the new position and worksite. There's no need to wait for approval before starting, but both the LCA certification and petition filing must occur before your last day at the previous employer.
What happens if my H-1B lottery registration isn't selected as an AI Data Engineer?
If you're not selected in the annual H-1B lottery, you have several paths depending on your current status. Employers that qualify as cap-exempt, including universities and affiliated nonprofit research entities, can file outside the lottery. You may also explore O-1A classification if your work in AI or data engineering includes published research, patents, or recognized contributions. Some professionals extend OPT or change to another nonimmigrant status while waiting for the next registration window in March.