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Lead AI Compliance Architect (The Evidence Builder)

Role overview

Qualifications

  • 7+ years in Compliance Engineering or Technical Audit
  • Expert-level understanding of ISO/IEC 42001, NIST AI RMF, and GDPR
  • Proficiency in SQL
  • Working understanding of Python/JSON for reviewing model configuration files

Responsibilities

  • Map global regulatory requirements to specific, measurable technical 'Evidence' within the DotCoAI platform
  • Design automated workflows that capture model metadata, training logs, and validation results as immutable compliance records
  • Conduct deep-dive assessments of existing models to identify non-compliance with emerging standards like the EU AI Act
  • Lead the technical vetting of third-party AI providers and API-based models

About the company

Technopals Pte Ltd logo

Technopals Pte Ltd

Technopals is one of the leading providers of IT solutions and services to various companies of high repute. Since its inception in 2009, Technopals has grown in size and stature, by efficiently implementing IT related solutions and services to Global organizations in Asia Pacific. Technopals in recent has ventured into IT Security Services catering Global Customers. As part of business growth Technopals is now equipped with proficiency in IT Talent Acquisition along with providing complete IT Security Services, IT Infrastructure Enterprise Solutions and Software Development. Technopals follows the leading industry practices to deliver the top most service level to our clients. Backed by rich expertise in all core technologies to cater to the IT infrastructure needs of an organization, our approach is to assist small, medium and large businesses to achieve their true potential by reaping all the benefits of IT. www.technopals.com EA Licence # 09C3442

Company details

Company size201 - 500

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Job description

​Role Overview
​We don’t believe in "Paper Compliance." As the Lead AI Compliance Architect, your job is to turn legal clauses (EU AI Act, ISO 42001, NIST) into technical specifications. You will bridge the gap between the Legal department’s requirements and the Data Scientist’s notebook.
​Key Responsibilities
​Clause Mapping: Map global regulatory requirements to specific, measurable technical "Evidence" within the DotCoAI platform.
​Audit-Ready Workflows: Design automated workflows that capture model metadata, training logs, and validation results as immutable compliance records.
​Gap Analysis: Conduct deep-dive assessments of existing models to identify non-compliance with emerging standards like the EU AI Act.
​Vendor Risk Management: Lead the technical vetting of third-party AI providers and API-based models.
​Qualifications
​Experience: 7+ years in Compliance Engineering or Technical Audit.
​Deep Domain Knowledge: Expert-level understanding of ISO/IEC 42001, NIST AI RMF, and GDPR.
​Technical Skills: Proficiency in SQL and a working understanding of Python/JSON for reviewing model configuration files.
​Education: BS in Computer Science, Data Science, or Cybersecurity.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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