GenAI

About :

Virtusa is a global product and platform engineering services company that makes experiences better with technology. We help organizations grow faster more profitably and more sustainably by reimagining enterprises through domain-driven solutions. We combine strategy design and engineering backed by unmatched expertise at the intersection of industry business and technology to generate real-world business impact for clients. Headquartered in Massachusetts with global delivery centers Virtusa provides a broad range of services solutions and assets including strategy and design AI advisory and services digital engineering data and analytics digital assurance cloud and security cx transformation and managed services across industries such as financial services healthcare communications media entertainment travel manufacturing and technology

Skills :

Should lead key initiatives in GenAI COE on new tech trends R and D on new product POCWork on proposals Provide solutions architecture design solution on different business use cases

Ability to work across various different GenAI Models and cloud providers

Should have a strong experience in implementing projects in Digital Engineering Or Data AnalyticsTechnically lead a team of developers and groom talent

Extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stack

Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or JavaAbility to build API based scalable solutions and debug & troubleshoot software or design issues

Hands on exposure to integrating atleast one of the popular LLMs(Open AI GPT PaLM 2 Dolly Claude 2 Cohere etc.) using API endpoints.

Thorough understanding of prompt engineering; implementation exposure to LLM agents like LangChain & vector databases Pinecone or Chroma or FAISSBasic data engineering skills to load structured & unstructured data from source systems to target data stores.

Build and maintain data pipelines and infrastructure to support

Hands on exposure to using cloud(Azure/GCP/AWS) services for storage serverless-logic search transcription and chatExtensive experience with data engineering and should be hands on in using Agentic AI Framework RAG