AI Platform Engineer
Read straight from D.R. Horton's careers page, verified 9h ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
LocationTX-Arlington
SenioritySenior
Experience5+ yrs
Company size10,000+ people
First seenOct 22, 2026 · 2w ago
Verified live9h ago
At a glanceSummarised by Seekless from the posting.
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience
5+ years of ML engineering, MLOps, platform engineering, cloud engineering, DevOps, or related experience
Strong Python
Experience with containers
Experience with Kubernetes or comparable orchestration
Experience with APIs
Experience with CI/CD
Experience with infrastructure-as-code
Experience with observability
Experience deploying and operating machine learning or generative AI workloads in production
Working knowledge of model serving
Working knowledge of RAG
Working knowledge of vector databases/search
Working knowledge of LLM gateways and model routing
Working knowledge of agent frameworks and tool/MCP integration
Working knowledge of evaluation
Working knowledge of LLM observability (traces, tokens, latency, cost per task)
Working knowledge of security
Working knowledge of AI workload economics
Ability to build trusted relationships across the organization
Demonstrated ability to work independently, take ownership, communicate clearly, and deliver results in an evolving environment
Experience with Azure
Experience with Microsoft Foundry or comparable AI gateways and model routers
Experience with NVIDIA AI Enterprise and GPU infrastructure
Experience with vLLM/NIM or comparable open-weight model serving
Experience with Snowflake AI capabilities
Experience with MLflow
Experience with Kubernetes
Experience with MCP (Model Context Protocol)
Experience in homebuilding, real estate, construction, mortgage, title, land development, sales, purchasing, finance, customer care, or another distributed operating business
Experience working in a large enterprise with complex enterprise environments
Experience founding, incubating, or building new products, capabilities, or businesses from the ground up
Ability to travel overnight
Skills
Python
Kubernetes
Containers
APIs
CI/CD
Infrastructure-as-code
Observability
Model Serving
RAG
Vector Databases
LLM Gateways
Model Routing
Agent Frameworks
MCP
Evaluation
LLM Observability
Security
AI Workload Economics
Azure
Microsoft Foundry
NVIDIA AI Enterprise
GPU Infrastructure
vLLM
NIM
Snowflake
MLflow
Benefits
Health insurance
401(k)
Flexible spending account
Life insurance
Disability insurance
Paid time off
Paid holidays
Employee stock purchase plan
About the company
D.R. Horton, Inc., the largest homebuilder in the U.S., was founded in 1978 and is a publicly traded company on the New York Stock Exchange. It is engaged in the construction and sale of high-quality homes designed principally for the entry-level and first time move-up markets. The Company also provides mortgage financing and title services for homebuyers through its mortgage and title subsidiaries. Please visit our website atwww.drhorton.com for more information.
About the role
D.R. Horton, Inc. is currently looking for an AI Platform Engineer. As the nation’s largest homebuilder by volume, D.R. Horton is transforming how it uses data, AI, and digital solutions for the next generation of homebuilding, and we pair the reach of a national enterprise with a culture built on local ownership, practical innovation, and deep business partnerships. Our teams focus on solutions that work in the field and deliver real results, not technology for its own sake. In this role, you’ll have a critical opportunity to shape modern capabilities that will influence how the company operates for years to come.
The AI Platform Engineer (also known as AI / ML Platform Engineer) will help build the modern platform capabilities that move machine learning and generative AI from experimentation into secure, reliable, and scalable production use. This role will engineer reusable services, automation, deployment patterns, observability, and infrastructure that make it easier for teams to develop and operate AI responsibly. The ideal candidate is a hands-on builder who enjoys solving complex platform problems and turning emerging technology into durable enterprise capability. This role’s primary scope is the AI and ML platform layer: model serving, gateways, agent runtimes, and the services that sit between models and applications. Success in this role means teams can take an AI use case from prototype to governed production in days rather than months, on a platform that is secure, observable, and cost-transparent.
Responsibilities
Essential Duties and Responsibilities include the following. Other duties may be assigned.
•
Engineer model and LLM deployment, inference, serving, gateway, evaluation, monitoring, registry, and lifecycle capabilities
•
Build reusable platform services for RAG, embeddings, vector search, agents, secrets, API access, workload isolation, quotas, and observability
•
Automate environments, deployments, testing, rollback, and infrastructure using CI/CD and infrastructure-as-code
•
Support hybrid cloud and on-premises AI infrastructure including GPU-enabled compute, containers, storage, networking, scheduling, and capacity management
•
Establish AI platform reliability, security, performance, utilization, and FinOps practices
•
Represent the function in cross-functional discovery, architecture, governance, operational-readiness, and continuous-improvement activities as appropriate
•
Stay current on relevant data, AI, digital, software, and industry practices and apply new capabilities when they create practical business value
•
Identify, shape, and pilot new opportunities where data, AI, and digital capabilities can create business value, operating with an owner’s mindset and a bias toward building, testing, and learning quickly
•
Conduct all business in a professional and ethical manner to serve customers and increase the goodwill and profit of the company
•
Ability to travel overnight
Education and/or Experience
•
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience
•
5+ years of ML engineering, MLOps, platform engineering, cloud engineering, DevOps, or related experience
•
Strong Python and experience with containers, Kubernetes or comparable orchestration, APIs, CI/CD, infrastructure-as-code, and observability
•
Experience deploying and operating machine learning or generative AI workloads in production
•
Working knowledge of model serving, RAG, vector databases/search, LLM gateways and model routing, agent frameworks and tool/MCP integration, evaluation, LLM observability (traces, tokens, latency, cost per task), security, and AI workload economics
•
Ability to build trusted relationships across the organization, balancing enterprise standards with business needs and operating realities.
•
Demonstrated ability to work independently, take ownership, communicate clearly, and deliver results in an evolving environment.
Preferred Qualifications
•
Experience with Azure, Microsoft Foundry or comparable AI gateways and model routers, NVIDIA AI Enterprise and GPU infrastructure, vLLM/NIM or comparable open-weight model serving, Snowflake AI capabilities, MLflow, Kubernetes, MCP (Model Context Protocol), or comparable technologies is preferred
•
Experience in homebuilding, real estate, construction, mortgage, title, land development, sales, purchasing, finance, customer care, or another distributed operating business is a plus
•
Experience working in a large enterprise with complex enterprise environments is preferred
•
Experience founding, incubating, or building new products, capabilities, or businesses from the ground up is a plus
Benefits
Come join a winning team with a Fortune 500 company! We are growing fast and are looking for enthusiastic attitudes and team players to join our success. We offer an excellent benefits package including:
•
Medical, Dental and Vision
•
401(K)
•
Employee Stock Purchase Plan
•
Flex Spending Accounts
•
Life & Disability Insurance
•
Vacation, Sick, Personal Time and Company Holidays
•
Multiple Voluntary and Company provided Benefits
Build YOUR future with D.R. Horton, America’s Builder. #WeBuildPeopleToo