AI Solution Architect, Vice President – Corporate Functions Technology
Core
Senior technology leader shaping and driving AI strategy for Internal Audit, designing and operating production-grade AI systems for conversational, predictive, and generative capabilities at enterprise scale.
Role type
Vice President, AI Solution Architect (Internal Audit)
Builds
Production-grade AI platforms, conversational assistants, generative insights, predictive analytics, and continuous auditing systems for Internal Audit.
Domain
Financial Services / Internal Audit / Generative AI
Deliverable
production ML models | product features
Required skills
End-to-end AI architecture, Generative AI (LLMs, prompt engineering, embeddings, RAG), AI orchestration and agent-based workflows, LLMOps/MLOps practices, Data engineering and integration, Cloud platform architecture (Azure/AWS), Model selection and evaluation, AI governance and model risk management.
Preferred skills
Internal Audit, Legal, or Risk corporate function experience, Model risk management or AI governance frameworks, Vector databases and semantic search, Process mining and control testing automation.
Technologies
LangChain, Azure, AWS, Vector databases, Enterprise data platforms, APIs, Distributed systems.
Responsibilities
Lead end-to-end architecture for AI-enabled platforms integrating LLMs and enterprise data; Design and implement AI orchestration frameworks for multi-step reasoning and agent workflows; Establish LLMOps/MLOps practices including monitoring, versioning, and cost controls; Embed AI governance, security, and privacy safeguards into system design; Translate audit challenges into high-impact AI use cases like control testing automation and narrative generation.
Seniority
Executive (VP), hands-on architectural leadership
