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AI Architect

  • AI Architect job type Posted on: Oct 12, 2026
  • AI Architect experience level RandomTrees
  • AI Architect employment type Corpus Christi, Texas
  • AI Architect employment type Onsite
  • AI Architect salary Full-time
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Job Title :

AI Architect

Job Type :

Full-Time

Job Location :

Corpus Christi Texas United States

Remote :

No

Jobcon Logo Job Description :

View Full Description
Communication: Excellent verbal and written communication, with the ability to explain complex concepts simply and influence decisions.Architecture: Proven experience designing complex, distributed AI/ML systems and platforms end to end.AI/ML expertise: Strong grounding in machine learning, deep learning, and (ideally) GenAI/LLMs, including RAG and fine-tuning.MLOps: Hands-on experience with tools such as MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, Azure ML, or Databricks.Engineering: Strong programming skills (Python required), plus experience with Docker, Kubernetes, and microservices/API design.Cloud and data: Experience with AWS, Azure, or GCP, and with big data technologies (Spark, Kafka, data lakes/warehouses).Stakeholder management: A track record of working with senior stakeholders, managing expectations, and delivering across teams.Resilience: Comfortable with ambiguity, tight timelines, and challenging technical environments.

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Jobcon Logo Position Details

Posted:

Oct 12, 2026

Reference Number:

10440_4473653758

Employment:

Full-time

City:

Corpus Christi

Job Origin:

APPCAST_CPC

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Communication: Excellent verbal and written communication, with the ability to explain complex concepts simply and influence decisions.Architecture: Proven experience designing complex, distributed AI/ML systems and platforms end to end.AI/ML expertise: Strong grounding in machine learning, deep learning, and (ideally) GenAI/LLMs, including RAG and fine-tuning.MLOps: Hands-on experience with tools such as MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, Azure ML, or Databricks.Engineering: Strong programming skills (Python required), plus experience with Docker, Kubernetes, and microservices/API design.Cloud and data: Experience with AWS, Azure, or GCP, and with big data technologies (Spark, Kafka, data lakes/warehouses).Stakeholder management: A track record of working with senior stakeholders, managing expectations, and delivering across teams.Resilience: Comfortable with ambiguity, tight timelines, and challenging technical environments.

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