[Hiring] AI/ML Lead @ISACA

Role Description

The AI/ML Lead is a senior, hands-on engineer and the first member of ISACA's AI implementation team, a new internal capability that will take on AI engineering work currently delivered by external vendors. Reporting to the VP, Application Engineering, and working within the platform architecture, standards, and governance set by the Senior Director, AI Architecture, Platforms & Agentic Systems, this role builds and hardens the AI solutions that serve ISACA's members and business.

The initial focus is ISACA's personalized member experience, a production RAG and knowledge graph-based recommendation system that integrates ISACA's Body of Knowledge, certification details, workforce skills data, and member profile information. The majority of the role is spent implementing:

• Writing production code
• Building data and retrieval pipelines
• Operationalizing the engineering practices that keep AI systems reliable

Success is measured by:

• Production stability
• Share of AI engineering work brought in-house
• Implementation team's growing ability to deliver ISACA's current and future AI needs without vendor dependency

Qualifications

• Bachelor’s Degree in Computer Science, Data Science, Statistics, Engineering, or a related field, or equivalent professional experience
• 8+ years of professional software, data, or application development experience
• 2+ years of hands-on experience developing, implementing, or integrating AI solutions in production environments
• Production delivery of LLM-powered or AI solutions in cloud environments (Azure strongly preferred)
• Proficiency in Python and LLM application frameworks and SDKs
• Hands-on experience with retrieval-augmented generation (RAG) pipelines
• Hands-on experience with knowledge graph architectures and ontology design
• Foundational MLOps and LLMOps capability
• Strong stakeholder communication skills
• Experience working in agile delivery environments

Requirements

• Masters Degree in Computer Science, Machine Learning, Data Science, or Artificial Intelligence (preferred)
• 10+ years of professional software or data engineering experience (preferred)
• Experience contributing to or helping shape an AI or data practice
• Domain literacy in IT governance, cybersecurity risk management, or professional certification ecosystems
• Experience with knowledge graph reasoning or GraphRAG patterns
• Familiarity with bias and fairness evaluation for AI-driven recommendation systems
• Prior experience working in a non-profit or mission-driven organization (preferred)
• Proficiency with Azure AI platforms or equivalent services on AWS or GCP

Benefits

• ISACA Career Opportunities and Benefits