Senior Generative AI Architect for Enterprise Solutions

Coforge; Princeton (NJ); On-site; USD 160,000 - 230,000; Full time

Job summary

Coforge in Princeton, NJ is seeking a Senior Generative AI Architect to design and scale enterprise AI solutions. You will lead architecture, model development, and integration with existing systems.

The ideal candidate has 7+ years in AI/ML architecture, hands-on experience with TensorFlow, PyTorch and Hugging Face, and cloud deployment on AWS/Azure/GC.

This role emphasizes ethical AI practices, collaboration with data scientists and product teams, and documentation of standards.

Qualifications

• 7+ years in AI/ML architecture or related role.
• Proven design and deployment of generative AI models and solutions.
• Hands-on with TensorFlow, PyTorch, Hugging Face.
• Experience deploying AI on cloud platforms (AWS, Azure, GCP).
• Proficiency in Python, Java, or C++.
• Strong knowledge of machine learning and deep learning.

Responsibilities

• Design and maintain the architectural framework for generative AI solutions.
• Lead design, training, and deployment of generative AI models tailored to applications.
• Collaborate with software teams to integrate AI capabilities into existing systems.
• Ensure AI solutions are scalable, efficient, and optimized for performance.
• Implement and enforce ethical guidelines for AI development and deployment.
• Stay abreast of latest advancements in generative AI and related fields.
• Collaborate with data scientists, engineers, product managers and stakeholders.
• Create documentation for AI architectures, processes and best practices.
• Establish and maintain coding and architectural standards.

Skills

AI/ML architecture

Generative AI expertise

Cloud deployment experience

Programming: Python/Java/C++

ML & deep learning knowledge

Tools

TensorFlow

PyTorch

Hugging Face

AWS

Azure

Google Cloud

Job description

Coforge in Princeton, NJ is seeking a Senior Generative AI Architect to design and scale enterprise AI solutions. You will lead architecture, model development, and integration with existing systems.

The ideal candidate has 7+ years in AI/ML architecture, hands-on experience with TensorFlow, PyTorch and Hugging Face, and cloud deployment on AWS/Azure/GC.

This role emphasizes ethical AI practices, collaboration with data scientists and product teams, and documentation of standards.