8+ years of experience in Generative AI solutions and RAG architectures.
Proven expertise in deploying conversational AI agents using advanced models like Claude.
Strong background in architecting scalable AI/ML workflows from training to production.
Experience with Multi-Cloud Platforms (MCPs) and integrating services across environments.
Proficiency in building data integration pipelines with large-scale databases, particularly Oracle.
Deep understanding of software design patterns and Python best practices.
Experience in driving innovation in AI, particularly in financial forecasting.
Responsibilities
Lead the design and deployment of Generative AI solutions.
Architect scalable AI/ML workflows and manage model lifecycles.
Develop and integrate services across Multi-Cloud Platforms.
Build data integration pipelines connecting AI models to enterprise data sources.
Drive innovation by implementing advancements in Generative AI.
Collaborate with cross-functional teams in an Agile environment.
Champion performance improvement and system optimization for AI solutions.
Benefits
Opportunity to work with cutting-edge Generative AI technologies.
Collaborative Agile work environment with cross-functional teams.
Focus on innovation and pushing boundaries in financial forecasting.
Exposure to Multi-Cloud Platforms and large-scale data integration.
Emphasis on performance improvement and system optimization.
Full Job Description
Job Requirements
8 + year of experience in leading the design, developing, and deploying Generative AI solutions, including sophisticated Retrieval-Augmented Generation (RAG) architectures and conversational AI agents using models like Claude. Architect and implement scalable AI/ML workflows, managing the end-to-end lifecycle of models from training to production deployment. Develop and integrate services with Multi-Cloud Platforms (MCPs), ensuring seamless operation and communication between different cloud environments and on-premise systems. Good to have knowledge in Python Build robust data integration pipelines to connect AI models with enterprise data sources, including large-scale Oracle databases. Apply deep knowledge of software design patterns and Python best practices to create modular, high-performance, and maintainable code. Actively drive innovation by exploring and implementing the latest advancements in Gen AI, pushing the boundaries of what's possible in financial forecasting. Collaborate in an Agile environment with cross-functional teams to translate complex business requirements into powerful and reliable AI features. Champion performance improvement and system optimization, ensuring our AI solutions are both powerful and efficient.
Work Experience 10-15Years
About Virtusa Corporation
Virtusa Corporation is a global provider of digital business strategy, digital engineering, and information technology (IT) services and solutions. The company helps its clients transform their businesses through innovative technology solutions that enable them to improve customer engagement, increase operational efficiency, and drive revenue growth. Virtusa Corporation was founded in 1996 and is headquartered in Southborough, Massachusetts. The company has over 20,000 employees and operates in over 30 countries around the world. Virtusa Corporation is committed to sustainability and has received numerous awards for its environmental and social responsibility initiatives.
