AI Platform Engineer Jobs in Texas
AI Platform Engineer jobs in Texas are among the most active in the country, concentrated in enterprise technology, energy sector digital transformation, financial services, and defense contracting, with demand at every level from junior to principal engineer. The largest hiring metros are Austin, Dallas, and Houston, where major employers such as Dell Technologies, AT&T, and ExxonMobil maintain substantial engineering operations. The most sought-after specialties in Texas are MLOps infrastructure, large language model deployment, and cloud-native AI pipeline development. Find a role that fits below and apply directly.
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INTRODUCTION
The Principal AI Platform Engineer is a technical leader responsible for defining and driving the architecture, strategy, and execution of AI platform capabilities across the ULTRUS platform and broader UL Solutions product portfolio. This role owns the design and evolution of core AI platform services, including scalable RAG (Retrieval-Augmented Generation) pipelines, advanced multi-agent orchestration frameworks, and enterprise-grade APIs and microservices.
Operating with significant autonomy, this individual ensures the platform meets the highest standards of scalability, reliability, security, and cost-efficiency, while enabling rapid adoption of AI across products. They guide cross-team engineering efforts, establish best practices for agentic AI systems and LLM integration, and influence long-term platform direction.
In addition to hands-on architecture and development, the Principal Engineer mentors senior engineers, drives technical excellence, and partners with product and leadership teams to translate business priorities into robust, production-ready AI platform capabilities.
ROLE AND RESPONSIBILITIES
- Define and drive the AI platform architecture and technical strategy across ULTRUS and broader product portfolio
- Design and evolve core AI platform services (RAG, agentic workflows, APIs, orchestration frameworks) for enterprise-scale use
- Establish standardized patterns for LLM integration, model routing, and AI service consumption across teams
- Lead design of scalable RAG and knowledge retrieval systems, including ingestion, embeddings, and retrieval optimization
- Own platform-level decisions on infrastructure (Azure, AKS, vector DBs, CI/CD, observability) for performance, cost, and security
- Define and implement AI observability, evaluation, and guardrails (latency, quality, drift, safety, cost)
- Provide technical leadership and mentorship across teams; drive architecture reviews and engineering standards
- Partner with product and leadership to translate business priorities into reusable AI platform capabilities
BASIC QUALIFICATIONS
- 10+ years in software engineering with strong distributed systems / SaaS platform experience
- 4+ years building production AI/ML or LLM-based systems (RAG, APIs, agents, or ML services)
- Deep experience with Azure AI ecosystem (Azure OpenAI, AI Foundry, Azure ML, AKS, AI Search)
- Strong hands-on expertise in AI frameworks (LangChain, LangGraph, Semantic Kernel, or similar)
- Proven ability to design scalable AI platforms, APIs, and microservices architectures
- Strong understanding of RAG systems, retrieval optimization, and LLM limitations (hallucination, safety, evaluation)
- Experience with Kubernetes, Docker, CI/CD, and production observability practices
- Demonstrated technical leadership, mentoring, and cross-team architectural influence
- Familiarity with AI governance, responsible AI, and enterprise compliance environments
PREFERRED QUALIFICATIONS
What you’ll experience working for ULS
UL Solutions has been pioneering change since 1894 and we’re still leading the way. From day one, we’ve blazed a trail protecting the planet and everyone on it. Our teams have influenced billions of products, plus services, software offerings and more. We break things, burn things and blow things up. All in the name of safety science.
That’s where you come in — because none of it could happen without you. It takes passion to protect people, problem-solving to safeguard personal data and conviction to make the world a more sustainable place. It takes bold ideas and brilliant minds to build a better world for future generations across the globe.
This is more than a job. It’s a calling. A passion to use our expertise and play our part in creating a more secure, sustainable world today — and tomorrow. As a member of our safety science community, you’ll use your ideas, your energy and your ambition to innovate, challenge and ultimately, help create a safer world.
Everyone here is unique. But we’re also a global community, working together to help create a safer world. Join UL Solutions and you can connect with the brightest minds in the business, all bringing their distinct perspectives and diverse backgrounds together to deliver real change.
Empowering our customers to keep the world safe means thinking ahead. It means investing in training and empowering our people to learn and innovate. At UL Solutions, we help build a better future — one where everyone benefits.
Join UL Solutions to be at the center of safety. To learn more about us and the work we do, visit UL.com
COMPENSATION
- Total Rewards: We understand compensation is an important factor as you consider the next step in your career. The estimated salary range for this position is $155,000 to $220,000 USD and is based on multiple factors, including job-related knowledge/skills, experience, geographical location, as well as other factors. This position is eligible for annual bonus compensation with a target payout of 20% of the base salary. This position also provides health benefits such as medical, dental and vision; wellness benefits such as mental and financial health; and retirement savings (401K) commensurate with the standard rewards offered in each individual location or country. We also provide full-time employees with paid time off including vacation (15 days), holiday including floating holidays (12 days) and sick time off (72 hours).
LI-SG2
LI-Hybrid
A global leader in applied safety science, UL Solutions (NYSE: ULS) transforms safety, security and sustainability challenges into opportunities for customers in more than 110 countries. UL Solutions delivers testing, inspection and certification services, together with software products and advisory offerings, that support our customers’ product innovation and business growth. The UL Mark serves as a recognized symbol of trust in our customers’ products and reflects an unwavering commitment to advancing our safety mission. We help our customers innovate, launch new products and services, navigate global markets and complex supply chains, and grow sustainably and responsibly into the future. Our science is your advantage.
When you combine the gravitas of a 130-year-old safety science leader with a culture of innovation that pushes the boundaries in new services and technology, you get UL Solutions. As a global team of business and engineering experts, we develop software for a huge range of industries, including medical, sustainability, renewable energy and healthy buildings. Together, we’re dedicated to making a real-world difference, to using our knowledge for good and to pioneering positive change. Join our team and use your expertise to transform global safety, security and sustainability.
See All 24 AI Platform Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find AI Platform Engineer JobsAI Platform Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
AI Platform Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- Future Secure AI4

- Boston Consulting3

- Wolters Kluwer3

- Amazon Web Services1

- Charles Schwab1

Top Industries Hiring
- Technology & Software12
- Consulting & Professional Services6
- Investment & Asset Management3
- Banking & Financial Services1
- Construction & Real Estate1
What Texas Employers Look For
The qualifications that appear most often in AI platform engineer jobs across Texas.
- Bachelor's degree in computer science, software engineering, or a closely related field
- Hands-on experience designing and deploying machine learning pipelines in production environments
- Proficiency with cloud platforms such as AWS, Azure, or Google Cloud for AI workloads
- Experience with MLOps tooling including Kubeflow, MLflow, or similar orchestration frameworks
- Strong programming skills in Python and familiarity with containerization using Docker and Kubernetes
- Ability to collaborate with data science and DevOps teams to operationalize and monitor AI models
AI Platform Engineer Jobs in Texas: Frequently Asked Questions
How do you become a ai platform engineer in Texas?
Most ai platform engineers in Texas enter the field with a bachelor's degree in computer science, software engineering, or a related discipline, since there is no state-issued license specific to this role. Texas employers typically expect candidates to demonstrate hands-on experience through a strong project portfolio, open-source contributions, or internships. Industry certifications from AWS, Google Cloud, or Microsoft Azure carry real weight with Texas hiring teams and help establish credibility when formal experience is limited.
How much do AI platform engineers make in Texas?
AI platform engineers in Texas earn a median of about $111,530 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $55,480 for the lowest 10% to over $174,300 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai platform engineers in Texas?
Employers hiring ai platform engineers in Texas right now include Future Secure AI, Boston Consulting, and Wolters Kluwer, based on current listings on Migrate Mate as of June 2026. Texas's mix of large tech campuses, energy company innovation labs, and financial services headquarters creates consistent demand across multiple industries rather than concentrating hiring in a single sector.
Which Texas cities have the most ai platform engineer jobs?
Austin, Coppell, and Dallas have the most ai platform engineer openings in Texas. Austin's dense concentration of tech company offices and semiconductor firms drives the largest share of postings, while Dallas benefits from its major financial services and telecom headquarters, and Houston's energy sector has invested heavily in AI-driven operations and data infrastructure.
Are there remote ai platform engineer jobs in Texas?
Yes, and more than most fields. About 21% of ai platform engineer openings tied to Texas are remote or hybrid as of June 2026, reflecting the desk-based and infrastructure-focused nature of the work. The portions of the role most commonly offered remotely include model deployment, pipeline development, and MLOps tooling work, while on-site presence is more often required for roles integrated with enterprise data centers or defense facilities.
How can I get hired as a ai platform engineer in Texas with little or no experience?
The most realistic entry path is targeting junior MLOps or AI infrastructure associate roles at large Texas employers such as Dell Technologies, Texas Instruments, or ExxonMobil's digital technology division, which regularly onboard candidates from related backgrounds. Moving laterally from a software engineering, data engineering, or DevOps role is a proven route, since those skills map directly onto AI platform work. Building a portfolio of public projects that demonstrate pipeline deployment or model serving, combined with an entry-level cloud certification, gives candidates a concrete edge when applying in Texas.
Where can I find and apply to ai platform engineer jobs in Texas?
You can find and apply to ai platform engineer jobs in Texas on Migrate Mate, which lists current Texas openings across Austin, Dallas, Houston, and other markets in the state. Find roles that fit your experience and apply directly to the employers posting them.
See All 24 AI Platform Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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