VP, AI Platform Engineering

JCW Group; Charlotte (NC); On-site; USD 260,000 - 360,000; Full time

Job summary

JCW Group is seeking a VP, AI Platform Engineering to lead a greenfield GenAI platform initiative at a leading global financial institution in Charlotte, NC. You will drive enterprise‑wide AI adoption, build scalable platform services, and orchestrate AI initiatives across the business with cutting‑edge tooling and governance.

The role requires deep expertise in AI/GenAI, cloud architectures, and backend engineering, including Python, MLOps, and AI observability.

Qualifications

• 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.

Responsibilities

• Build and scale AI/GenAI platform services.
• Develop AI applications, agents, and RAG-based solutions.
• Build backend services and APIs using Python.
• Implement MLOps/LLMOps practices, monitoring, and AI guardrails.
• Design enterprise-grade AI architectures and cloud solutions.

Skills

AI Platform

GenAI

Azure

Databricks

RAG

Vector databases

Embeddings

Prompt engineering

LangGraph

LLMOps

Tools

Python

Job description

Our client, a leading global financial institution, is building a next-generation AI Platform Engineering function and is seeking a VP, AI Platform Engineering to help drive enterprise-wide AI adoption

. About the Ro

le
This is a unique opportunity to join a high-impact, greenfield team building scalable GenAI platforms, AI agents, and intelligent automation solutions that will be used across the busine

ss. Responsibili

• ties
  Build and scale AI/GenAI platform ser
• vicesDevelop AI applications, agents, and RAG-based solu
• tionsBuild backend services and APIs using P
• ythonImplement LLMOps/MLOps best practices, monitoring, and AI guard
• railsDesign enterprise-grade AI architectures and cloud solu

tions Qualific

• erienceProven experience building and deploying AI/GenAI p
• roductsStrong expertise with Azure and Dat
• abricksExperience with RAG, vector databases, embeddings, and prompt engi
• neeringExperience with LangGraph, LlamaIndex, or similar AI orchestration fra
• meworksStrong cloud and backend engineering bac

kground Requi

lotte, NC Prefer

• red Skills
  AKS /
• KubernetesMLflow / LLM
• Ops toolingAI observability and evalu

experience Pay range and compensa

tion package
This is an outstanding opportunity to help shape the future of AI within a major global banking

organisation. Equal Opportu

nity Statement
Our client is committed to diversity a nd inclusivity.