AI & Data Engineering Architect/Remote

Remote • Posted 1 hour ago • Updated 1 hour ago
Contract W2
Contract Corp To Corp
Contract Independent
No Travel Required
Remote
Depends on Experience
Fitment

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Job Details

Skills

  • AI & Data Engineering Architect

Summary

Job Title: AI & Data Engineering Architect

Location: Remote

Employment Type: Full-time


Role Overview

We are looking for an experienced AI & Data Engineering Architect to design and lead scalable data and AI solutions. This role involves building modern data platforms, enabling advanced analytics, and integrating AI/ML capabilities into business applications.


Key Responsibilities

  • Design and implement end-to-end data architecture and AI solutions.
  • Define data pipelines, data models, and data governance frameworks.
  • Lead development of scalable data platforms (data lakes, warehouses, lakehouses).
  • Architect and deploy AI/ML models in production environments.
  • Collaborate with data engineers, data scientists, and business stakeholders.
  • Select appropriate tools, technologies, and frameworks for data and AI initiatives.
  • Ensure data quality, security, and compliance standards are met.
  • Guide teams on best practices for data engineering and MLOps.
  • Optimize performance, scalability, and cost of data systems.

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • Strong expertise in data platforms (SQL/NoSQL databases, data lakes, warehouses).
  • Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
  • Knowledge of ETL/ELT pipelines and big data technologies (Spark, Hadoop).
  • Experience with AI/ML frameworks (TensorFlow, PyTorch, or similar).
  • Strong programming skills (Python, SQL, or Scala).
  • Experience with data modeling, governance, and security.

Preferred Skills

  • Experience with real-time/streaming data (Kafka, Flink).
  • Familiarity with BI and visualization tools (Power BI, Tableau).
  • Knowledge of MLOps, CI/CD pipelines, and containerization (Docker, Kubernetes).
  • Exposure to Generative AI and NLP use cases.

Key Competencies

  • Strategic thinking and architecture design
  • Leadership and mentoring skills
  • Problem-solving and analytical mindset
  • Strong communication and stakeholder management
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10513292
  • Position Id: 72432-12895-
  • Posted 1 hour ago
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