Vice President, AI Platform Engineering
Core
Define and drive technical direction for enterprise AI systems (multi-agent architectures, fine-tuned models, RAG) and govern their adoption across the platform organization.
Role type
VP, AI Platform Engineering (Strategy & Hands-on IC)
Builds
Production-grade AI platforms, AI-native developer tooling, and multi-agent systems for Thomson Reuters.
Domain
Enterprise AI / Legal & Financial Services
Deliverable
production ML models | infrastructure | product features
Required skills
Multi-agent AI system design, LLM fine-tuning (DPO, RAG), MLOps, Cloud AI services (AWS/Azure/GCP), Python, ML frameworks (PyTorch, LangChain), Enterprise architecture leadership, Team scaling
Preferred skills
Academic research translation, Conversational AI, Data catalogues at scale
Technologies
Spark, Kafka, Kubernetes, Bedrock, SageMaker, vLLM, AutoGen, MCP
Responsibilities
Define AI-native engineering standards and reference implementations, Lead architecture reviews for AI systems, Drive build-vs-buy decisions for AI infrastructure, Mentor principal and staff engineers, Represent platform engineering in M&A due diligence
Seniority
VP, Strategy & Mentorship
