GenAI Engineer

ManpowerGroup Global, Inc.; Irving (TX); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Contract-to-permanent possibility

Job summary

ManpowerGroup Global, Inc. is seeking a GenAI Engineer in Irving, TX for an on-site role with a hybrid schedule (3 days on-site, 2 days remote).

You will design and deploy advanced generative AI models across Azure, AWS, and Google Cloud, and collaborate with cross-functional teams to deliver scalable AI solutions. The ideal candidate has strong Python and React skills, hands-on experience with REST APIs, microservices, and distributed systems, and a solid understanding of cloud architecture and

Qualifications

• Experience with cloud services: Azure ML/AWS Lambda/SageMaker/Vertex AI.
• Proficiency in Python (backend) and React (frontend/UI).
• Hands-on experience with REST APIs, microservices, and distributed systems.
• Strong cloud architecture, security, and scalability understanding.
• Experience with relational, NoSQL, and vector databases; container deployment.

Responsibilities

• Design and develop advanced generative AI models and solutions leveraging cloud platforms such as Azure, AWS, and Google Cloud.
• Implement and optimize multi-cloud application architectures and integration patterns to ensure scalable and secure AI solutions.
• Collaborate with cross-functional teams to build, deploy, and monitor machine learning models and conversational AI systems.
• Utilize containerization tools like Docker and Kubernetes for deployment and management of AI applications.
• Apply MLOps best practices for model lifecycle management, automation, and production monitoring to ensure high-quality AI services.

Skills

Problem solving

Excellent communication

Collaborative mindset

Tools

Azure ML

Azure Functions

AWS Lambda

SageMaker

Vertex AI

Python

React

REST APIs

Microservices

Distributed systems

Job description

Our client, a leading organization in the technology and innovation sector, is seeking a GenAI Engineer to join their team. As a GenAI Engineer, you will be part of the AI and Cloud Solutions department supporting cross‑functional teams. The ideal candidate will have strong problem‑solving skills, excellent communication, and a collaborative mindset, which will align successfully in the organization.

Job Title: GenAI Engineer

Location: Irving, TX (On‑site role; hybrid work schedule: 3 days onsite, 2 days remote)

What's the Job?

• Design and develop advanced generative AI models and solutions leveraging cloud platforms such as Azure, AWS, and Google Cloud.
• Implement and optimize multi‑cloud application architectures and integration patterns to ensure scalable and secure AI solutions.
• Collaborate with cross‑functional teams to build, deploy, and monitor machine learning models and conversational AI systems.
• Utilize containerization tools like Docker and Kubernetes for deployment and management of AI applications.
• Apply MLOps best practices for model lifecycle management, automation, and production monitoring to ensure high‑quality AI services.

What's Needed?

• Experience with cloud services such as Azure Machine Learning, Azure Functions, AWS Lambda, SageMaker, or Google Vertex AI.
• Proficiency in Python for backend development and React for frontend/UI design.
• Hands‑on experience with building and consuming REST APIs, microservices, and distributed systems.
• Strong understanding of cloud architecture, security, and scalability principles.
• Experience with relational, NoSQL, and vector databases, along with container‑based deployment models.

What's in it for me?

• Opportunity to work on innovative AI projects with leading cloud technologies.
• Collaborative and inclusive work environment supporting professional growth.
• Hybrid work model promoting work‑life balance.
• Engagement in cutting‑edge AI and machine learning solutions.
• Potential for contract‑to‑permanent employment for the right candidate.