Senior Data Science Engineer Visa Sponsorship Jobs in Texas
Texas is one of the strongest states for senior data science engineer visa sponsorship, driven by major tech and energy employers across Austin, Dallas, and Houston. Companies like Dell, AT&T, ExxonMobil, and a growing wave of fintech and healthcare analytics firms regularly hire and sponsor international candidates at the senior level.
Find Senior Data Science Engineer JobsOverview
Showing 5 of 254+ Senior Data Science Engineer Jobs in Texas with Visa Sponsorship
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 254+ Senior Data Science Engineer Jobs in Texas with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Data Science Engineer Jobs in Texas with Visa Sponsorship.
Get Access To All JobsJob Title
GenAI Engineer Applied AI Engineer LLM Agent Systems
Location
Onsite Charlotte NC
Addison TX
Jersey City NJ
Candidate must be willing to work onsite; remote is not an option.
Role Summary
We are seeking a highly skilled GenAI Engineer to design, build, and operationalize next-generation AI solutions leveraging Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG) architectures, and scalable cloud platforms. This role requires strong hands-on expertise across AI concepts, model integration, data pipelines, and MLOps/CICD with the ability to translate business problems into production-grade AI systems.
Key Responsibilities
GenAI LLM Engineering:
- Design, develop, and deploy LLM-powered applications using leading foundation models (OpenAI, Azure OpenAI, Anthropic, open-source LLMs).
- Build LLM-based AI agents capable of multistep reasoning, tool use, orchestration, and autonomous workflows.
- Implement and optimize agent frameworks (LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, etc.).
- Engineer robust prompting strategies, memory mechanisms, and tool-augmented reasoning.
RAG Knowledge Systems:
- Design and implement Retrieval-Augmented Generation (RAG) architectures.
- Build embedding pipelines using vector databases (FAISS, Pinecone, Weaviate, Azure AI Search, Chroma).
- Optimize document ingestion, chunking strategies, metadata management, and reranking.
- Ensure accuracy, relevance, and performance of AI-generated responses.
Machine Learning Model Integration:
- Apply practical ML concepts including classification, clustering, ranking, and similarity search where applicable.
- Integrate traditional ML models with LLM-based systems for hybrid AI solutions.
- Evaluate, fine-tune, and test models using appropriate performance metrics.
Data Engineering Pipelines:
- Develop and maintain data pipelines for structured and unstructured data using Python and SQL.
- Work with large datasets, APIs, and streaming/batch processing frameworks.
- Ensure data quality, lineage, observability, and governance within AI workflows.
MLOps CICD Productionization:
- Build CICD pipelines for AI and ML workloads including model versioning and automated testing.
- Deploy AI services in containerized environments (Docker, Kubernetes).
- Implement monitoring for model performance, drift, latency, and cost.
- Ensure security, access control, and compliance for AI systems.
Cloud Platform Engineering:
- Design and deploy AI solutions on cloud platforms such as AWS, Azure, or GCP.
- Leverage managed AIML services, serverless components, and scalable infrastructure.
- Optimize cost, performance, and reliability of AI workloads.
Collaboration Stakeholder Engagement:
- Partner with product, platform, and business teams to translate requirements into AI solutions.
- Document architectures, design decisions, and operational runbooks.
- Provide guidance on GenAI best practices, risks, and responsible AI usage.
Required Skills Experience
Core Technical Skills:
- Strong proficiency in Python and working knowledge of SQL.
- Solid foundation in AIML concepts with hands-on experience deploying models.
- Proven experience with LLMs, AI agents, and agent frameworks.
- Hands-on expertise with RAG architectures and vector databases.
- Experience implementing CICD pipelines for AI or ML systems.
- Strong understanding of data pipelines and distributed data processing.
- Experience working on at least one major cloud platform (AWS, Azure, or GCP).
Preferred Good to Have:
- Experience fine-tuning LLMs (LoRA, PEFT, RLHF concepts).
- Familiarity with evaluation frameworks for GenAI (hallucination testing, grounding, latency benchmarks).
- Exposure to governance, security, and compliance considerations for enterprise AI.
- Background in domains such as BFSI, healthcare, or regulated industries.
Education
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field or equivalent practical experience.
What Success Looks Like
- Scalable, reliable GenAI solutions deployed to production.
- Well-architected AI agents delivering measurable business value.
- High-quality, explainable, and maintainable AI systems.
- Strong collaboration across engineering, data, and business teams.
Skills
Mandatory Skills: GenAI - LLMOps, LLMOps
Benefits and Perks:
- Comprehensive Medical Plan Covering Medical, Dental, Vision
- Short Term and Long-Term Disability Coverage
- 401(k) Plan with Company match
- Life Insurance
- Vacation Time, Sick Leave, Paid Holidays
- Paid Paternity and Maternity Leave
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay, and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Benefits
Compensation range: $93,000.00 to $142,000.00 per year
About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it.
Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same.
Job Title
GenAI Engineer Applied AI Engineer LLM Agent Systems
Location
Onsite Charlotte NC
Addison TX
Jersey City NJ
Candidate must be willing to work onsite; remote is not an option.
Role Summary
We are seeking a highly skilled GenAI Engineer to design, build, and operationalize next-generation AI solutions leveraging Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG) architectures, and scalable cloud platforms. This role requires strong hands-on expertise across AI concepts, model integration, data pipelines, and MLOps/CICD with the ability to translate business problems into production-grade AI systems.
Key Responsibilities
GenAI LLM Engineering:
- Design, develop, and deploy LLM-powered applications using leading foundation models (OpenAI, Azure OpenAI, Anthropic, open-source LLMs).
- Build LLM-based AI agents capable of multistep reasoning, tool use, orchestration, and autonomous workflows.
- Implement and optimize agent frameworks (LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, etc.).
- Engineer robust prompting strategies, memory mechanisms, and tool-augmented reasoning.
RAG Knowledge Systems:
- Design and implement Retrieval-Augmented Generation (RAG) architectures.
- Build embedding pipelines using vector databases (FAISS, Pinecone, Weaviate, Azure AI Search, Chroma).
- Optimize document ingestion, chunking strategies, metadata management, and reranking.
- Ensure accuracy, relevance, and performance of AI-generated responses.
Machine Learning Model Integration:
- Apply practical ML concepts including classification, clustering, ranking, and similarity search where applicable.
- Integrate traditional ML models with LLM-based systems for hybrid AI solutions.
- Evaluate, fine-tune, and test models using appropriate performance metrics.
Data Engineering Pipelines:
- Develop and maintain data pipelines for structured and unstructured data using Python and SQL.
- Work with large datasets, APIs, and streaming/batch processing frameworks.
- Ensure data quality, lineage, observability, and governance within AI workflows.
MLOps CICD Productionization:
- Build CICD pipelines for AI and ML workloads including model versioning and automated testing.
- Deploy AI services in containerized environments (Docker, Kubernetes).
- Implement monitoring for model performance, drift, latency, and cost.
- Ensure security, access control, and compliance for AI systems.
Cloud Platform Engineering:
- Design and deploy AI solutions on cloud platforms such as AWS, Azure, or GCP.
- Leverage managed AIML services, serverless components, and scalable infrastructure.
- Optimize cost, performance, and reliability of AI workloads.
Collaboration Stakeholder Engagement:
- Partner with product, platform, and business teams to translate requirements into AI solutions.
- Document architectures, design decisions, and operational runbooks.
- Provide guidance on GenAI best practices, risks, and responsible AI usage.
Required Skills Experience
Core Technical Skills:
- Strong proficiency in Python and working knowledge of SQL.
- Solid foundation in AIML concepts with hands-on experience deploying models.
- Proven experience with LLMs, AI agents, and agent frameworks.
- Hands-on expertise with RAG architectures and vector databases.
- Experience implementing CICD pipelines for AI or ML systems.
- Strong understanding of data pipelines and distributed data processing.
- Experience working on at least one major cloud platform (AWS, Azure, or GCP).
Preferred Good to Have:
- Experience fine-tuning LLMs (LoRA, PEFT, RLHF concepts).
- Familiarity with evaluation frameworks for GenAI (hallucination testing, grounding, latency benchmarks).
- Exposure to governance, security, and compliance considerations for enterprise AI.
- Background in domains such as BFSI, healthcare, or regulated industries.
Education
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field or equivalent practical experience.
What Success Looks Like
- Scalable, reliable GenAI solutions deployed to production.
- Well-architected AI agents delivering measurable business value.
- High-quality, explainable, and maintainable AI systems.
- Strong collaboration across engineering, data, and business teams.
Skills
Mandatory Skills: GenAI - LLMOps, LLMOps
Benefits and Perks:
- Comprehensive Medical Plan Covering Medical, Dental, Vision
- Short Term and Long-Term Disability Coverage
- 401(k) Plan with Company match
- Life Insurance
- Vacation Time, Sick Leave, Paid Holidays
- Paid Paternity and Maternity Leave
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay, and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Benefits
Compensation range: $93,000.00 to $142,000.00 per year
About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it.
Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same.
Senior Data Science Engineer Job Roles in Texas
See all 254+ Senior Data Science Engineer Jobs in Texas
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Senior Data Science Engineer Jobs in TexasSenior Data Science Engineer Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for senior data science engineers in Texas?
Several large Texas-based employers have established H-1B visa sponsorship histories for senior data science engineering roles. These include Dell Technologies and NXP Semiconductors in Austin, AT&T and Capital One in the Dallas-Fort Worth area, and ExxonMobil and Hewlett Packard Enterprise in Houston. Beyond these names, Texas has a growing presence of health tech firms, financial services companies, and defense contractors that regularly sponsor at the senior level.
Which cities in Texas have the most senior data science engineer sponsorship jobs?
Austin, Dallas-Fort Worth, and Houston account for the overwhelming majority of senior data science engineer sponsorship opportunities in Texas. Austin draws heavy interest from technology companies and startups with enterprise clients. Dallas-Fort Worth is a center for financial services, telecommunications, and retail analytics. Houston's energy sector and expanding medical center create distinct demand for data science talent at the senior engineer level.
How to find senior data science engineer visa sponsorship jobs in Texas?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find senior data science engineer roles in Texas without sifting through positions that don't offer sponsorship. You can filter by state, role level, and sponsorship type. Because senior data science engineers in Texas span energy, fintech, healthcare, and tech sectors, Migrate Mate's categorization helps narrow results to the most relevant opportunities for your background.
Which visa types are most common for senior data science engineer roles in Texas?
The H-1B is the most common visa category for senior data science engineers in Texas, given that the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as computer science, statistics, or data science. Some candidates with prior U.S. employer relationships pursue L-1B intracompany transfers. Candidates with exceptional research records or publications may explore the O-1A. Australian citizens have access to the E-3 visa as an alternative to the H-1B.
Are there any Texas-specific considerations for senior data science engineers seeking visa sponsorship?
Texas has no state income tax, which affects prevailing wage benchmarks differently than in high-tax states, though Department of Labor wage determinations for H-1B purposes are based on the metropolitan statistical area of employment, not state tax policy. University pipelines from UT Austin, Texas A&M, and Rice University produce a steady local talent supply, meaning employers are selective at the senior level and typically sponsor candidates who bring specialized skills in areas like large-scale ML infrastructure, NLP, or computer vision.
What is the prevailing wage for sponsored senior data science engineer jobs in Texas?
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.