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Posted on 2026/01/12

Principal Cloud Data & AI Architect - Houston, TX

Kainos Innovative Solutions Inc

Houston, TX, United States

Contractor

Qualifications

  • 15+ years of experience in enterprise data engineering, AI/ML, or cloud-native architecture
  • Strong hands-on expertise with Google Cloud Platform services, including BigQuery, Vertex AI, and Dataflow
  • Proven experience designing and scaling MLOps and RAG-based AI solutions
  • Demonstrated ability to lead large-scale, cross-functional data and AI platform initiatives

Responsibilities

  • Architect and implement scalable, cloud-native data and AI platforms on Google Cloud Platform
  • Design and operationalize end-to-end ML pipelines, MLOps frameworks, and Retrieval-Augmented Generation (RAG) architectures
  • Lead the development of semantic search and vector-based AI solutions using FAISS or Pinecone
  • Partner with engineering, legal, security, and AI governance teams to ensure compliant and responsible AI adoption
  • Provide technical leadership and best practices for enterprise data engineering and AI initiatives

Full Description

Responsibilities

• Architect and implement scalable, cloud-native data and AI platforms on Google Cloud Platform

• Design and operationalize end-to-end ML pipelines, MLOps frameworks, and Retrieval-Augmented Generation (RAG) architectures

• Lead the development of semantic search and vector-based AI solutions using FAISS or Pinecone

• Partner with engineering, legal, security, and AI governance teams to ensure compliant and responsible AI adoption

• Provide technical leadership and best practices for enterprise data engineering and AI initiatives

Required Qualifications

• 15+ years of experience in enterprise data engineering, AI/ML, or cloud-native architecture

• Strong hands-on expertise with Google Cloud Platform services, including BigQuery, Vertex AI, and Dataflow

• Advanced proficiency in Python, REST/JSON APIs, and Infrastructure as Code (Terraform preferred)

• Proven experience designing and scaling MLOps and RAG-based AI solutions

• Demonstrated ability to lead large-scale, cross-functional data and AI platform initiatives

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