Senior Python & AI Platform Engineer — Enterprise AI Deployments

ManpowerGroup Global, Inc.; Charlotte (NC); On-site; USD 120,000 - 180,000; Full time

Job summary

ManpowerGroup Global, Inc. is seeking a Senior Python / AI Platform Engineer (Software Engineer 4 - Contingent) in Charlotte, NC. You will deploy AI solutions, integrate models with enterprise apps, and build APIs using Python, FastAPI, REST, and JSON.

The role requires 7+ years in software/data/AI, strong Python skills, and hands-on experience with Azure and container orchestration like OpenShift or Kubernetes. Data pipelines with Spark/PySpark and SQL knowledge are essential.

Qualifications

• 7+ years of experience in software engineering, data engineering, cloud engineering, or AI/ML engineering.
• Strong Python development skills with experience deploying Data Science and AI solutions.
• Hands-on experience with cloud platforms such as Azure and container orchestration tools like OpenShift or Kubernetes.
• Proficiency in building enterprise APIs and applications, including FastAPI and RESTful services.
• Knowledge of data engineering tools and frameworks such as SQL, Spark/PySpark, and data modeling.

Responsibilities

• Deploy and operationalize Data Science, Generative AI, and Predictive AI solutions into production environments.
• Integrate AI models and solutions with enterprise applications using modern cloud and container platforms.
• Develop and maintain APIs and applications utilizing Python, FastAPI, REST, and JSON.
• Build and optimize data pipelines and data models leveraging SQL, Spark/PySpark, and ETL/ELT processes.
• Implement monitoring, logging, and alerting strategies to ensure operational readiness and support.

Skills

Python

FastAPI

REST API

Spark PySpark

SQL

Azure

OpenShift

Kubernetes

APIs

Tools

OpenShift

Kubernetes

REST APIs

Job description

ManpowerGroup Global, Inc. is seeking a Senior Python / AI Platform Engineer (Software Engineer 4 - Contingent) in Charlotte, NC. You will deploy AI solutions, integrate models with enterprise apps, and build APIs using Python, FastAPI, REST, and JSON.

The role requires 7+ years in software/data/AI, strong Python skills, and hands-on experience with Azure and container orchestration like OpenShift or Kubernetes. Data pipelines with Spark/PySpark and SQL knowledge are essential.