VP, AI Platform Engineering
VP, AI Platform Engineering
Posted 11 days ago
SENIORITY
Manager
About the role
- Build and scale AI/GenAI platform services
- Develop AI applications, agents, and RAG-based solutions
- Build backend services and APIs using Python
- Implement LLMOps/MLOps best practices, monitoring, and AI guardrails
- Design enterprise-grade AI architectures and cloud solutions
- Strong hands-on Python engineering experience
- Proven experience building and deploying AI/GenAI products
- Strong expertise with Azure and Databricks
- Experience with RAG, vector databases, embeddings, and prompt engineering
- Experience with LangGraph, LlamaIndex, or similar AI orchestration frameworks
- Strong cloud and backend engineering background
- US Citizen or Green Card HolderHybrid working in Charlotte, NCPreferred SkillsAKS / KubernetesMLflow / LLMOps toolingAI observability and evaluation tools
- Financial services experience
- Pay range and compensation package
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
