GenAI Engineer
Job in
Irving, Dallas County, Texas, 75084, USA
Listed on 2026-07-18
Listing for:
ManpowerGroup Global, Inc.
Full Time
position Listed on 2026-07-18
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Cloud Engineer - Software, Azure
Job Description & How to Apply Below
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.
- Experience with cloud services such as Azure Machine Learning, Azure Functions, AWS Lambda, Sage Maker, 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, No
SQL, and vector databases, along with container‑based deployment models.
- 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.
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