AI Architect - Managing Consultant

IBM

Quick summary

Work type
On-site
Location
Dallas, TX
Posted
10 days ago
Nearby
99+ roles within 25 mi

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Similar $207k
$158k most similar roles pay here $268k

This listing doesn't post a salary. Most similar roles pay $168,590–$246,150.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 701 open roles on FindRole.

Listed pay typically runs $1,000,000–$1,000,000 across 9 roles with salary data.

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TL;DR · AI Architect - Managing Consultant

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The AI Architect role at this leading consultancy in Dallas requires 7-12+ years of experience in software engineering, data engineering, machine learning, or cloud architecture. As part of the consulting team, you will design and implement ETL/ELT processes, develop AI governance frameworks, ensure privacy-by-design principles are followed, and manage model risk. Day-to-day responsibilities include collaborating with clients to build scalable AI solutions, integrating advanced analytics into existing systems, and advising on best practices for data security and compliance in large-scale enterprise environments. Proficiency in Python, SQL, and cloud platforms like AWS or Azure is essential, along with strong skills in machine learning frameworks such as TensorFlow or PyTorch.

Skills

ETL ELT AI governance Privacy-by-design Model risk management

What you'll do

  • Design and implement ETL/ELT processes for data integration.
  • Develop and maintain AI governance frameworks to ensure compliance.
  • Implement privacy-by-design principles in all AI projects.
  • Manage model risk by monitoring and mitigating potential issues.
  • Architect scalable cloud solutions for machine learning applications.

What we're looking for

  • 7-12+ years of experience in software engineering, data engineering, machine learning, or cloud architecture.
  • Expertise in ETL/ELT design and implementation.
  • Proficiency in AI governance frameworks and privacy-by-design principles.
  • Strong understanding of model risk management practices.
  • Experience with cloud platforms and scalable system architectures.

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