VP, AI Platform & GenAI Engineering Leader

ManpowerGroup; Charlotte (NC); On-site; USD 150,000 - 165,000; Full time

Benefits offered by this job

Medical plan

Dental plan

Vision plan

401(k) matching

Weekly pay

HSAs

Job summary

ManpowerGroup is seeking a VP, AI Platform Engineer in Charlotte, NC to lead and architect scalable AI platforms. You will drive GenAI model lifecycle, observability, and secure data pipelines in a high-stakes financial environment.

You will collaborate with a talented team, apply MLOps/LLMOps best practices, and leverage Databricks and Azure Cloud Services to enable complex GenAI workflows.

Qualifications

• Bachelor’s degree in Computer Science, Machine Learning, Data Science, or a related field.
• 5+ years of hands-on experience in developing, deploying, and maintaining GenAI or advanced ML models in production.
• 3+ years of Python and GenAI frameworks/tools such as Databricks Vector Search, Azure AI Search, LangGraph, haystack, Llama Index, etc.
• Advanced knowledge of prompt engineering, model fine-tuning, embedding models, and RAG implementation methodologies.
• Deep familiarity with MLOps/LLMOps tools, data platforms like Databricks, and cloud platforms.

Responsibilities

• Design and architect scalable, secure, and compliant AI platforms utilizing Databricks and Azure Cloud Services.
• Develop infrastructure and REST/Websocket-based AI/LLM platform services for various downstream applications.
• Apply standardized MLOps/LLMOps practices for model lifecycle management, observability, and security.
• Create efficient and scalable data pipelines to support AI/ML data requirements.
• Build and maintain robust Retrieval-Augmented Generation (RAG) and Agentic orchestration layers to enable complex GenAI workflows.

Skills

GenAI in prod

Python

Prompt engineering

MLOps/LLMOps

Databricks

Education

Bachelor's degree in CS/ML/DS

Tools

Databricks

Azure AI Search

LangGraph

Haystack

Llama Index

Job description

ManpowerGroup is seeking a VP, AI Platform Engineer in Charlotte, NC to lead and architect scalable AI platforms. You will drive GenAI model lifecycle, observability, and secure data pipelines in a high-stakes financial environment.

You will collaborate with a talented team, apply MLOps/LLMOps best practices, and leverage Databricks and Azure Cloud Services to enable complex GenAI workflows.