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ISACA
ISACA
201 – 500 Employees
B2BCybersecurityEducation
ISACA is a global professional association serving people and organizations working in cybersecurity, technology governance, and risk management. It provides education, training, certifications, and professional development resources to help practitioners build and maintain expertise across these fields. ISACA also advocates for the technology profession and supports organizational approaches to business excellence. Its careers are connected to advancing this mission through education and professional services.
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AI/ML Lead at ISACA — United States, Hybrid

Lead hands-on development of ISACA’s production RAG, knowledge graph, and LLM systems. Build the internal AI engineering team and transition delivery from external vendors.

USUnited States
$151,047 – $241,653 / year
HybridFull-timeSeniorEnglish RequiredArtificial Intelligence
AirflowApacheAWSAzureCloudPythonSitecore

Description

  • Engineer, integrate, and bring ISACA AI solutions into production.
  • Develop knowledge graph ontologies, embedding and retrieval pipelines, recommendation logic, and LLM and agentic application components.
  • Create APIs and service contracts that connect AI capabilities with digital products and business systems.
  • Assess vendor architectures, code, pull requests, and deliverables against technical requirements and engineering standards.
  • Set acceptance criteria and help validate production readiness.
  • Transfer vendor knowledge to internal teams and reduce reliance on external providers.
  • Run MLOps and LLMOps practices covering CI/CD, versioning, evaluation, monitoring, drift detection, and token cost tracking.
  • Set standards for code reviews, documentation, runbooks, and reusable components.
  • Apply security, responsible AI, and auditability controls.
  • Develop data ingestion and transformation pipelines for CRM, content and learning platforms, workforce, and market trend data.
  • Define data contracts and implement quality checks and monitoring with source-system owners.
  • Work with data, engineering, and product teams to address data architecture gaps.
  • Join as the first AI implementation engineer, recommend hiring priorities, help hire and onboard team members, and mentor engineers and contractors.
  • Explain AI decisions, technical risks, and tradeoffs to product, engineering, and IT stakeholders.
  • Coordinate with product, architecture, security, and data teams.
  • Test emerging AI tools, platforms, and architectures through experiments and proofs of concept.

Requirements

  • Bachelor’s degree in computer science, data science, statistics, engineering, or a related field, or equivalent professional experience.
  • At least 8 years of professional experience in software, data, or application development.
  • At least 2 years of hands-on experience developing, implementing, or integrating AI, generative AI, LLM, or agentic AI solutions in production.
  • Experience delivering LLM or AI solutions in cloud environments; Azure is strongly preferred, or equivalent cloud experience.
  • Proficiency in Python and LLM application frameworks and SDKs.
  • Working knowledge of LLM evaluation, RAG pipeline performance tracking, and prompt versioning.
  • Hands-on experience with RAG pipelines, prompt engineering, embedding-based semantic retrieval, vector databases, and LLM orchestration.
  • Hands-on experience with knowledge graph architecture and ontology design; Graphwise experience is a strong plus.
  • Foundational MLOps and LLMOps skills, including CI/CD, containerized deployment, model and prompt versioning, monitoring, token cost tracking, and drift detection.
  • Ability to oversee AI vendor work through architecture reviews, acceptance criteria, and delivery validation.
  • Strong communication skills with stakeholders.
  • Experience working in agile delivery with cross-functional product, engineering, data, and security teams.
  • A master’s degree in computer science, machine learning, data science, or artificial intelligence is preferred.
  • At least 10 years of professional software or data engineering experience, including 3 or more years of hands-on AI experience, is preferred.
  • Familiarity with multi-agent frameworks, Azure Data Factory or Apache Airflow, and enterprise platforms such as Salesforce and Sitecore is a plus.
  • AI, Azure, AWS, or Google Cloud certifications listed in the posting are preferred.
  • Commitment to ISACA’s mission, purpose, and values, and cultural sensitivity suited to a global professional membership organization.

Benefits

  • Periodic onsite attendance may be needed depending on business requirements.
  • Occasional travel may be needed for company-sponsored events, meetings, all-hands gatherings, training, or other required activities.
  • The employer commits to equal employment opportunity and an inclusive workplace.

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