AI ML Platform Jobs in Texas
AI ML Platform jobs in Texas are in strong and growing demand, with significant concentration in cloud infrastructure, enterprise software, and energy tech sectors, and openings at every level from associate engineer through principal and staff roles. Austin, Dallas, and Houston lead hiring activity, anchored by employers like Dell Technologies, AT&T, and ExxonMobil, all of which maintain large and active technology organizations in the state. The most sought-after specializations include MLOps pipeline engineering, model deployment infrastructure, and large-scale data orchestration. Find a role that fits below and apply directly.
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About the Company
At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.
About the Role
We are seeking a highly skilled and motivated Sr. AI/ML Software Engineer to join our core Platform Team in Austin, Texas, New York, NY or Toronto, ON. You will be a key contributor to building and scaling the infrastructure that powers FutureSecure.AI’s intelligent interactions. This role is highly prioritized for engineers with a strong foundation in both high-level scripting languages and performant, compiled systems, coupled with experience in building robust distributed systems. You will be responsible for developing and maintaining the core components of our platform, enabling seamless integration of AI models and ensuring a world-class developer experience.
Responsibilities
- Platform Development: Design, develop, and maintain critical components of the FutureSecure.ai platform, focusing on scalability, reliability, and performance
- AI/ML Integration: Build and optimize integrations with large language models (LLMs), utilizing best practices for prompt engineering, tool use, streaming, and token management
- Distributed Systems Architecture: Implement and maintain robust distributed systems, leveraging concepts like durable execution, idempotency, retry semantics, and circuit breakers
- Developer Tooling: Develop and maintain developer-facing SDKs and platform tooling, prioritizing a clean, intuitive, and well-documented API surface
- Cloud Infrastructure: Provision and manage cloud infrastructure (AWS, Azure, or GCP) using cloud-native patterns and managed services
- Containerization & Orchestration: Deploy, operate, and scale containerized services using Docker and Kubernetes
- Performance Optimization: Identify and address performance bottlenecks across the entire stack, from application code to infrastructure
- Collaboration & Code Quality: Work closely with other engineers and researchers to deliver high-quality, well-tested code
Minimum Qualifications
- Bachelor's Degree in Computer Science, Electrical Engineering, a related field or relevant practical experience
- 5+ years of experience in a similar role
- Experience with TypeScript/Node.js and a compilation language such as Rust, Go, or C++
- Demonstrated experience with distributed systems concepts including durable execution, idempotency, retry semantics, and circuit breakers
- Experience with cloud platforms (AWS, Azure, or GCP) – infrastructure provisioning, managed services, and cloud-native patterns
- Experience deploying and operating containerized services (Docker, Kubernetes)
- Experience building or maintaining developer-facing SDKs or platform tooling where the API surface matters as much as the internals
- A broad and genuine curiosity across computer systems – operating systems, networking, security, databases, compilers
Preferred Qualifications
- Familiarity with LLM integration patterns including prompt engineering, tool use, streaming, and token management
Why Join Us?
- Impactful Work: Be part of a team that’s building the future of work and empowering people through AI
- Innovation: Work with cutting-edge machine learning technology and contribute to a rapidly evolving platform
- Growth Opportunities: We are a fast-growing company with ample opportunities for professional development
- Collaborative Culture: Join a team of passionate and talented individuals
- Competitive Compensation and Benefits: We offer a comprehensive package to reward your contributions
Disclaimer:
We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.
Future Secure AI Privacy Policy
At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the "Website") and use our services.
About the Company
At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.
About the Role
We are seeking a highly skilled and motivated Sr. AI/ML Software Engineer to join our core Platform Team in Austin, Texas, New York, NY or Toronto, ON. You will be a key contributor to building and scaling the infrastructure that powers FutureSecure.AI’s intelligent interactions. This role is highly prioritized for engineers with a strong foundation in both high-level scripting languages and performant, compiled systems, coupled with experience in building robust distributed systems. You will be responsible for developing and maintaining the core components of our platform, enabling seamless integration of AI models and ensuring a world-class developer experience.
Responsibilities
- Platform Development: Design, develop, and maintain critical components of the FutureSecure.ai platform, focusing on scalability, reliability, and performance
- AI/ML Integration: Build and optimize integrations with large language models (LLMs), utilizing best practices for prompt engineering, tool use, streaming, and token management
- Distributed Systems Architecture: Implement and maintain robust distributed systems, leveraging concepts like durable execution, idempotency, retry semantics, and circuit breakers
- Developer Tooling: Develop and maintain developer-facing SDKs and platform tooling, prioritizing a clean, intuitive, and well-documented API surface
- Cloud Infrastructure: Provision and manage cloud infrastructure (AWS, Azure, or GCP) using cloud-native patterns and managed services
- Containerization & Orchestration: Deploy, operate, and scale containerized services using Docker and Kubernetes
- Performance Optimization: Identify and address performance bottlenecks across the entire stack, from application code to infrastructure
- Collaboration & Code Quality: Work closely with other engineers and researchers to deliver high-quality, well-tested code
Minimum Qualifications
- Bachelor's Degree in Computer Science, Electrical Engineering, a related field or relevant practical experience
- 5+ years of experience in a similar role
- Experience with TypeScript/Node.js and a compilation language such as Rust, Go, or C++
- Demonstrated experience with distributed systems concepts including durable execution, idempotency, retry semantics, and circuit breakers
- Experience with cloud platforms (AWS, Azure, or GCP) – infrastructure provisioning, managed services, and cloud-native patterns
- Experience deploying and operating containerized services (Docker, Kubernetes)
- Experience building or maintaining developer-facing SDKs or platform tooling where the API surface matters as much as the internals
- A broad and genuine curiosity across computer systems – operating systems, networking, security, databases, compilers
Preferred Qualifications
- Familiarity with LLM integration patterns including prompt engineering, tool use, streaming, and token management
Why Join Us?
- Impactful Work: Be part of a team that’s building the future of work and empowering people through AI
- Innovation: Work with cutting-edge machine learning technology and contribute to a rapidly evolving platform
- Growth Opportunities: We are a fast-growing company with ample opportunities for professional development
- Collaborative Culture: Join a team of passionate and talented individuals
- Competitive Compensation and Benefits: We offer a comprehensive package to reward your contributions
Disclaimer:
We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.
Future Secure AI Privacy Policy
At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the "Website") and use our services.
See All 6 AI ML Platform Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find AI ML Platform JobsAI ML Platform Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
AI ML Platform Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- Citi1
- Future Secure AI1
- Magnit Global1
- Marathon Petroleum Company1
- RealPage1
Top Industries Hiring
- Technology & Software3
- Banking & Financial Services1
- Construction & Real Estate1
- Consulting & Professional Services1
- Energy1
What Texas Employers Look For
The qualifications that appear most often in AI ML platform jobs across Texas.
- Bachelor's or master's degree in computer science, data engineering, or a related technical field
- Hands-on experience building and maintaining ML pipelines using tools such as Kubeflow, MLflow, or Airflow
- Proficiency in Python and familiarity with cloud platforms including AWS, Google Cloud, or Microsoft Azure
- Experience containerizing and deploying models using Docker, Kubernetes, or equivalent orchestration tools
- Strong understanding of CI/CD practices applied to machine learning model lifecycle management
- Ability to collaborate with data science and software engineering teams on production-grade model delivery
AI ML Platform Jobs in Texas: Frequently Asked Questions
How do you become a ai ml platform in Texas?
There is no state-issued license required to work as an ai ml platform engineer in Texas, so the path runs through education and demonstrated technical skill. Most employers expect at least a bachelor's degree in computer science, software engineering, or a closely related field, though strong candidates also enter through bootcamps paired with a solid portfolio. Texas-based employers across Austin, Dallas, and Houston particularly value hands-on project work showing end-to-end pipeline ownership and cloud deployment experience.
Which companies hire ai ml platforms in Texas?
Employers hiring ai ml platforms in Texas right now include Citi, Future Secure AI, and Magnit Global, based on current listings on Migrate Mate as of June 2026. Texas's mix of major technology headquarters, large enterprise IT operations, and an expanding energy tech sector creates consistent demand across multiple industries year-round.
Which Texas cities have the most ai ml platform jobs?
Austin, Houston, and Irving hold the highest concentration of ai ml platform openings in Texas. Austin's dense technology startup and enterprise software ecosystem drives the bulk of demand, while Dallas benefits from a large corporate headquarters presence in financial services and telecom, and Houston's energy sector has accelerated investment in machine learning infrastructure for exploration and operations analytics.
Are there remote ai ml platform jobs in Texas?
Yes, and more than most fields. About 17% of ai ml platform openings tied to Texas are remote or hybrid as of June 2026, reflecting the fundamentally desk-based and cloud-native nature of the work. Pipeline engineering, model monitoring, and infrastructure-as-code roles are the most commonly offered on a fully remote basis, while roles requiring close collaboration with on-site data teams tend to require at least a hybrid schedule.
How can I get hired as a ai ml platform in Texas with little or no experience?
The most realistic entry path is a rotational or associate engineering role at a large Texas employer, where structured onboarding bridges formal education and production work. Companies like Dell Technologies and AT&T in the Dallas area run associate technical programs that accept recent graduates. Building a portfolio that demonstrates a working ML pipeline, even a personal project using public datasets on AWS or Azure, significantly strengthens applications. Lateral moves from data engineering, DevOps, or backend software development are also common entry routes since those roles share core infrastructure skills.
Where can I find and apply to ai ml platform jobs in Texas?
You can find and apply to ai ml platform jobs in Texas on Migrate Mate, which lists current Texas openings across Austin, Dallas, Houston, and other markets in the state. Search the listings to identify roles that match your experience level and technical focus, then apply directly to the ones that fit.
See All 6 AI ML Platform Jobs in Texas
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