Senior AI Software Engineer Jobs in Texas
Senior AI Software Engineer jobs in Texas are among the most actively recruited roles in the state's technology market, concentrated in enterprise software, defense contracting, semiconductor design, and financial technology across Austin, Dallas-Fort Worth, and Houston. Major employers with deep, lasting footprints in Texas include Dell Technologies, Lockheed Martin, and JPMorgan Chase, all of which maintain large engineering centers in the state. The most in-demand specialties are large language model development, MLOps infrastructure, and applied machine learning for real-time systems. Find a role that fits below and apply directly.
Find JobsOverview
Showing 5 of 122+ Senior AI Software Engineer jobs
Description
At Hallmark Health Care Solutions, what we do and how we do it go hand in hand. We bring a relentless focus to both our products and our people—grounded in curiosity, a bias for action, accountability and ownership, strong judgment, and a willingness to challenge the status quo in pursuit of better outcomes.
What You’ll Do
We are looking for a highly capable and hands-on AI Engineer to join our growing engineering and product innovation team. The ideal candidate should be able to understand complex business and AI requirements, architect practical AI-driven solutions, collaborate with technical leads and managers, and independently deliver production-grade AI initiatives.
What We Are Looking For
- Someone who can think beyond demos and build AI systems that work reliably in real-world production environments.
- A self-driven engineer who can take ownership of AI initiatives with minimal supervision.
- A strong collaborator who can work effectively with leadership, managers, architects, and distributed engineering teams.
- An individual passionate about solving meaningful business problems using practical AI innovation.
- Understand business problems and translate them into scalable AI/ML and Generative AI solutions.
- Design, develop, and deploy enterprise-grade AI systems with a strong focus on reliability, scalability, monitoring, and measurable outcomes.
- Lead or contribute to multiple AI initiatives simultaneously while coordinating with engineering leads, product managers, architects, and offshore teams.
- Independently drive proof-of-concepts, pilots, and production implementations.
Agentic AI & LLM Systems
- Design and implement Agentic AI workflows capable of multi-step reasoning, orchestration, task automation, and intelligent decision support.
- Build AI agents using frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, MCP, or equivalent orchestration platforms.
- Implement memory management, evaluation pipelines, guardrails, failure recovery, and observability for production AI systems.
- Develop prompt engineering strategies and optimize LLM interactions for enterprise use cases.
RAG & Semantic Search
- Build scalable Retrieval-Augmented Generation (RAG) systems including:
- Document ingestion pipelines
- Chunking strategies
- Embedding generation
- Vector databases
- Hybrid semantic and keyword retrieval
- Re-ranking pipelines
- Citation traceability
- Work with vector stores such as FAISS, Pinecone, Weaviate, or similar technologies.
- Implement evaluation frameworks to measure retrieval quality and response accuracy.
AI/ML Engineering
- Develop and optimize ML and Deep Learning models for predictive analytics, classification, forecasting, NLP, computer vision, and recommendation systems.
- Work with modern ML frameworks such as PyTorch, TensorFlow, Scikit-learn, XGBoost, and Hugging Face.
- Participate in model fine-tuning, instruction tuning, RLHF, LoRA, and PEFT initiatives where applicable.
Cloud, MLOps & Engineering Excellence
- Build scalable AI infrastructure on cloud platforms such as Azure, AWS, or GCP.
- Implement MLOps best practices including CI/CD pipelines, model monitoring, experiment tracking, infrastructure automation, and deployment orchestration.
- Work with tools such as Docker, Kubernetes, Terraform, MLflow, Airflow, and GitHub Actions.
- Optimize infrastructure usage, performance, and operational cost.
Collaboration & Leadership
- Work closely with onsite and offshore engineering teams to ensure smooth delivery and communication.
- Collaborate with technical leads, architects, QA teams, DevOps teams, and product stakeholders.
- Mentor junior engineers and contribute to AI capability building within the organization.
What We’re Looking For
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or related field.
- 6+ years of software engineering experience with at least 3+ years focused on AI/ML and Generative AI initiatives.
- Hands-on experience building and deploying production AI systems.
- Experience delivering AI initiatives independently in enterprise environments.
- Understanding of LLMs, Agentic AI architectures, and RAG systems.
- Python programming skills and experience with APIs, distributed systems, and data engineering concepts.
- Experience working in onsite/offshore collaboration models.
- Excellent communication, analytical thinking, and problem-solving skills.
- Experience in Healthcare, Workforce Management, Staffing, Compliance, or Enterprise SaaS domains.
- Exposure to AI governance, compliance, security, and responsible AI practices.
- Experience with Computer Vision, NLP, forecasting, or healthcare AI use cases.
- Knowledge of HIPAA-compliant AI solution development is a plus.
- Exposure to AI evaluation frameworks such as LangSmith, RAGAS, or equivalent.
- Experience integrating AI solutions with enterprise platforms and third-party systems.
The Perks
- Medical, Dental, and Vision Insurance with Employee Premiums Covered by HHCS at 100% and Company Cost Share for any Dependents Enrolled
- $3000 Annual Company Contributions to HSAs for all Employees Enrolled in the HSA Eligible Health Plan
- Unlimited Paid Time Off
- Pre-Tax and Roth 401(K) Retirement Options
- On-Site Gym, Free Parking, and Provided Lunches 3 Times per Week in the Dallas Office!
By applying to Hallmark Health Care Solutions, your application and all supplemental information is subject to our Privacy Policy. When clicking “Apply”, you will be redirected to our Applicant Tracking System, Pinpoint.
About Hallmark Health Care Solutions
See All 122+ Senior AI Software Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find JobsSenior AI Software Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Senior AI Software Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Electronics & Hardware15
- Technology & Software7
- Banking & Financial Services5
- Education4
- Investment & Asset Management3
What Texas Employers Look For
The qualifications that appear most often in senior AI software engineer jobs across Texas.
- Bachelor's or master's degree in computer science, AI, or a related engineering discipline
- Five or more years of professional software engineering experience with at least two in AI or ML
- Hands-on production experience with PyTorch, TensorFlow, or equivalent deep learning frameworks
- Demonstrated ability to design and deploy scalable ML pipelines in cloud environments such as AWS or Azure
- Experience with LLM fine-tuning, prompt engineering, or retrieval-augmented generation architectures
- Strong proficiency in Python and familiarity with MLOps tooling such as MLflow, Kubeflow, or similar
Senior AI Software Engineer Jobs in Texas: Frequently Asked Questions
How do you become a senior ai software engineer in Texas?
Texas does not require a state-issued license to work as a software engineer, so the path is driven by education and experience rather than credentialing boards. Most hiring managers in Texas expect a bachelor's degree in computer science, machine learning, or a closely related field, along with several years of progressively complex AI engineering work. Building a portfolio of deployed models, contributing to open-source ML projects, and earning cloud certifications from AWS or Google Cloud are the most effective ways to advance to a senior level in the Texas market.
How much do senior AI software engineers make in Texas?
Senior AI software engineers in Texas earn a median of about $132,150 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $82,600 for the lowest 10% to over $183,680 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior ai software engineers in Texas?
Employers hiring senior ai software engineers in Texas right now include Apple, JPMorganChase, and SpaceX, based on current listings on Migrate Mate as of August 2026. Texas's concentration of defense primes, semiconductor firms, and major financial institutions means demand for senior AI engineers is distributed across sectors well beyond pure tech.
Which Texas cities have the most senior ai software engineer jobs?
Austin, Plano, and Dallas hold the most senior ai software engineer openings in Texas. Austin's dense cluster of technology headquarters and semiconductor companies drives the bulk of demand there, Dallas-Fort Worth's large financial services and telecommunications base sustains consistent hiring, and Houston adds openings through its energy technology and aerospace sectors, including significant engineering centers from companies like NASA's Johnson Space Center and major oil-and-gas operators investing in AI-driven operations.
Are there remote senior ai software engineer jobs in Texas?
Yes, and more than most fields. About 73% of senior ai software engineer openings tied to Texas are remote or hybrid as of August 2026, reflecting how naturally desk-based and tool-driven this work is. The roles most likely to be fully remote are those focused on model research, LLM development, and ML platform engineering, while positions that involve on-site GPU cluster management or embedded AI integration tend to require a physical presence.
How can I get hired as a senior ai software engineer in Texas with little or no experience?
The most realistic entry path is through an associate or junior machine learning engineer role, which large Texas employers like Dell Technologies, Texas Instruments, and American Airlines staff regularly. Building a public portfolio of end-to-end ML projects on GitHub is the credential that carries the most weight in the absence of formal work history. University co-op programs at UT Austin and Texas A&M feed directly into engineering pipelines at major Texas employers. Lateral moves from data analyst, software developer, or data scientist roles are common because they share overlapping tooling and allow candidates to demonstrate applied AI skills internally before taking on a senior title.
Where can I find and apply to senior ai software engineer jobs in Texas?
You can find and apply to senior ai software engineer jobs in Texas on Migrate Mate, which lists current openings tied to Texas employers. Find roles that fit your experience and apply directly to the ones that match.
See All 122+ Senior AI Software Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Jobs