AI Architect - Managing Consultant

IBM

Quick summary

Work type
On-site
Location
New York, NY
Posted
10 days ago

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How this pay compares to similar roles

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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At a glance

TL;DR · AI Architect - Managing Consultant

The AI Architect role at this leading consultancy in New York 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 working on large-scale enterprise projects, building robust data pipelines, and advising clients on best practices for deploying machine learning models securely and ethically. The ideal candidate should have expertise in Python, SQL, and cloud platforms like AWS or Azure, along with a strong understanding of AI governance and regulatory compliance. This role addresses critical business challenges by leveraging advanced analytics to drive strategic decision-making and innovation across various industries.

What you'll do

  • Design and implement ETL/ELT processes for data integration.
  • Develop AI governance frameworks to ensure ethical use of technology.
  • Implement privacy-by-design principles in all technical solutions.
  • 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, or cloud architecture.
  • Expertise in ETL/ELT design and implementation.
  • Proficiency in AI governance frameworks and privacy-by-design principles.
  • Experience with model risk management.
  • Strong background in machine learning and cloud technologies.

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