Senior Data Science Engineer Jobs in Texas
Senior Data Science Engineer jobs in Texas are in strong demand, concentrated in energy analytics, financial technology, healthcare informatics, and defense and aerospace sectors, with openings at every level from mid-career through principal and staff engineer. Austin, Houston, and Dallas are the state's primary hiring hubs, where established employers like ExxonMobil, Dell Technologies, and USAA maintain deep data science teams. The most sought-after specialties in Texas listings are machine learning engineering, MLOps and model deployment, and large-scale data pipeline architecture. Find a role that fits below and apply directly.
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Showing 5 of 273+ Senior Data Science Engineer jobs
Role description
Role Summary
We are seeking a 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 such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, and CrewAI.
- Engineer robust prompting strategies, memory mechanisms, and tool-augmented reasoning.
RAG and Knowledge Systems
- Design and implement Retrieval Augmented Generation (RAG) architectures.
- Build embedding pipelines using vector databases such as FAISS, Pinecone, Weaviate, Azure AI Search, and 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 and Pipelines
- Develop and maintain data pipelines for structured and unstructured data using Python and SQL.
- Work with large datasets, APIs, and streaming and batch processing frameworks.
- Ensure data quality, lineage, observability, and governance within AI workflows.
MLOps CICD and 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 and 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 and 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 regulated domains such as BFSI or healthcare.
Education
Bachelors 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: AI/GenAI Research, GenAI - LLMOps
Other details
Actual compensation within the range will be dependent upon the individual's skills, experience, performance, and internal equity.
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: $81,215 to $145,300.00 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. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/
Role description
Role Summary
We are seeking a 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 such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, and CrewAI.
- Engineer robust prompting strategies, memory mechanisms, and tool-augmented reasoning.
RAG and Knowledge Systems
- Design and implement Retrieval Augmented Generation (RAG) architectures.
- Build embedding pipelines using vector databases such as FAISS, Pinecone, Weaviate, Azure AI Search, and 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 and Pipelines
- Develop and maintain data pipelines for structured and unstructured data using Python and SQL.
- Work with large datasets, APIs, and streaming and batch processing frameworks.
- Ensure data quality, lineage, observability, and governance within AI workflows.
MLOps CICD and 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 and 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 and 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 regulated domains such as BFSI or healthcare.
Education
Bachelors 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: AI/GenAI Research, GenAI - LLMOps
Other details
Actual compensation within the range will be dependent upon the individual's skills, experience, performance, and internal equity.
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: $81,215 to $145,300.00 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. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/
See All 273+ Senior Data Science Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find JobsSenior Data Science Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Senior Data Science Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- NVIDIA31
- Apple22
- LTIMindtree13
- Citi12
- Tata Consultancy Services (TCS)6
Top Industries Hiring
- Technology & Software102
- Electronics & Hardware27
- Banking & Financial Services23
- Consulting & Professional Services17
- Law & Legal Services15
What Texas Employers Look For
The qualifications that appear most often in senior data science engineer jobs across Texas.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Five or more years of experience building and deploying production machine learning models
- Proficiency in Python and SQL with hands-on experience using frameworks like TensorFlow or PyTorch
- Experience designing and maintaining scalable data pipelines using tools such as Spark or Airflow
- Demonstrated ability to lead cross-functional projects and mentor junior data scientists or engineers
- Familiarity with cloud platforms, particularly AWS, Azure, or GCP, in an enterprise Texas environment
Senior Data Science Engineer Jobs in Texas: Frequently Asked Questions
How do you become a senior data science engineer in Texas?
Reaching a senior data science engineer role in Texas typically follows a path starting with a bachelor's or master's degree in computer science, mathematics, or a related field, followed by several years of hands-on engineering experience. Texas has no state-issued license specific to this role. Most Texas employers expect a portfolio of shipped ML systems, experience with cloud infrastructure, and evidence of technical leadership, often demonstrated by progressing through mid-level roles at Texas-based tech, energy, or financial services firms.
How much do senior data science engineers make in Texas?
Senior data science engineers in Texas earn a median of about $122,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $64,540 for the lowest 10% to over $170,780 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior data science engineers in Texas?
Employers hiring senior data science engineers in Texas right now include NVIDIA, Apple, and LTIMindtree, based on current listings on Migrate Mate as of June 2026. Texas's concentration of energy giants, financial institutions, and defense contractors means demand is unusually broad across industries beyond traditional tech.
Which Texas cities have the most senior data science engineer jobs?
Austin, Dallas, and Irving have the most senior data science engineer openings in Texas. Houston's demand is driven by energy and healthcare analytics, Dallas by financial technology and large corporate headquarters, and Austin by its dense concentration of technology companies and high-growth startups that rely heavily on data infrastructure and machine learning teams.
Are there remote senior data science engineer jobs in Texas?
Yes, and more than most fields. About 18% of senior data science engineer openings tied to Texas are remote or hybrid as of June 2026, reflecting how naturally this work moves off-site. The portions of the role most commonly offered remotely are model development, experimentation, and pipeline engineering, while on-site presence is more likely when roles involve embedded hardware, sensitive data environments, or close collaboration with operations teams.
How can I get hired as a senior data science engineer in Texas with little or no experience?
The most realistic entry point is a data analyst or junior data engineer role at a large Texas employer, then building toward ML work from there. ExxonMobil, Dell Technologies, and major Texas health systems like UT Southwestern and Texas Children's run new-graduate programs and rotational analytics tracks that regularly place candidates without direct senior experience. Building a public project portfolio demonstrating model deployment and cloud experience, alongside a relevant master's degree or professional certification, meaningfully strengthens a candidacy for upward movement into senior engineering roles.
Where can I find and apply to senior data science engineer jobs in Texas?
You can find and apply to senior data science engineer jobs in Texas on Migrate Mate, which lists current Texas openings across the state's major hiring markets. Find roles that fit your background and apply directly to the ones that match.
See All 273+ Senior Data Science Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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