Reads like an AI Engineer role: building products on existing AI models.
Plano, TX, United States
Live, first seen by us 17 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Build generative AI, agentic AI, and LLM solutions in Python from proof of concept to production
Design context engineering approaches to improve model accuracy, latency, and reliability
Lead enterprise semantic modeling strategy, including ontology standards and governance
Build and maintain pipelines for model training, evaluation, monitoring, and MLOps
Implement responsible AI practices and model risk controls for regulated environments
Build generative AI, agentic AI, and large language model solutions in Python from proof of concept through production deployment
Design context engineering approaches to improve model accuracy, latency, reliability, and end-to-end user experience
Lead enterprise semantic modeling strategy, including ontology standards, governance practices, and lifecycle management
Build and maintain pipelines and frameworks for model training, evaluation, optimization, monitoring, and machine learning operations
Implement responsible AI practices, model risk controls, and governance aligned to regulated environments
Required Qualifications, Capabilities, and Skills - Master’s degree in a data science-related discipline and eight years of industry experience, or PhD in a data science-related discipline - Demonstrated experience developing and deploying machine learning and generative AI solutions using Python
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Job Responsibilities - Build generative AI, agentic AI, and large language model solutions in Python from proof of concept through production deployment with measurable outcomes - Design context engineering approaches to improve model accuracy, latency, reliability, and end-to-end user experience
- Master’s degree in a data science-related discipline and eight years of industry experience, or PhD in a data science-related discipline - Demonstrated experience developing and deploying machine learning and generative AI solutions using Python - Proven ability to write and maintain production-quality code, including documentation and maintainable design patterns
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Yes. We’ve followed one other Lead Applied AI & Machine Learning Engineer job there since August 2026. It is still up.
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
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We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Build what’s next in enterprise AI—solutions that materially improve how teams make decisions, automate work, and serve internal customers. You will take generative AI from concept to production, help set the standard for semantic consistency across systems, and partner closely with stakeholders to turn complex business needs into measurable outcomes. You will mentor talent and influence technical direction across Corporate Technology and supported Corporate Functions.
As an Applied AI and Machine Learning Lead in the Corporate Technology Data Science and AI team, you will Build what’s next in enterprise AI—solutions that materially improve how teams make decisions, automate work, and serve internal customers. In this role, you will take generative AI from concept to production and help set the standard for semantic consistency across systems. You will partner closely with stakeholders to turn complex business needs into measurable outcomes. You will mentor talent and influence technical direction across Corporate Technology and supported Corporate Functions. If you enjoy solving hard problems with real impact, this is the opportunity.
Job Responsibilities
Required Qualifications, Capabilities, and Skills
Preferred Qualifications, Capabilities, and Skills
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Plano, TX, United States
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