Gen AI Architect & Lead Developer (RAG & Cloud)

Virtusa; Irving (TX); On-site; USD 120,000 - 190,000; Full time

Job summary

Virtusa is seeking a skilled AI Engineer to lead the design, development, and deployment of Python-based Generative AI solutions, including RAG systems and conversational agents such as Claude.

The role focuses on architecting scalable AI/ML workflows, deploying models to production, and integrating services across Multi-Cloud Platforms with enterprise data sources like Oracle databases. You will work in an Agile team to deliver reliable AI features and optimize performance.

Qualifications

• Experience building Python-based AI/ML solutions.
• Familiarity with Retrieval-Augmented Generation architectures.
• Ability to design scalable AI/ML workflows for training to production.
• Experience with cloud and on-premise service integration.

Responsibilities

• Lead design, development, and deployment of Python and Gen AI solutions including RAG systems and conversational agents.
• Architect scalable AI/ML workflows from training to production deployment.
• Develop and integrate services with Multi-Cloud Platforms across enterprise environments.
• Build data integration pipelines connecting AI models with Oracle databases.
• Apply software design patterns to deliver modular, high-performance code.
• Drive Gen AI innovation and push capabilities for financial forecasting.
• Collaborate in Agile teams to translate requirements into reliable AI features.
• Champion performance improvements and system optimization.

Skills

Python

Generative AI

RAG architectures

Conversational AI

Tools

Claude

Oracle

Job description

Virtusa is seeking a skilled AI Engineer to lead the design, development, and deployment of Python-based Generative AI solutions, including RAG systems and conversational agents such as Claude.

The role focuses on architecting scalable AI/ML workflows, deploying models to production, and integrating services across Multi-Cloud Platforms with enterprise data sources like Oracle databases. You will work in an Agile team to deliver reliable AI features and optimize performance.