Virtusa - Senior Architect - Generative AI

Role Overview : We are looking for an experienced Generative AI Senior Architect to lead strategic GenAI initiatives, define solution architectures, evaluate emerging technologies, and deliver enterprise-grade AI solutions across diverse business use cases. The role will be part of the GenAI Center of Excellence (CoE) and will combine architecture, hands-on technical expertise, R&D, solutioning, client engagement, and technical leadership. Key Responsibilities : - Lead strategic Generative AI initiatives within the GenAI Center of Excellence and evaluate emerging technologies, frameworks, and industry trends. - Drive R&D, experimentation, and proof-of-concepts (PoCs) for new GenAI capabilities, products, and business use cases. - Define scalable and secure solution architectures for GenAI applications across different business domains. - Evaluate and select appropriate LLMs, AI frameworks, orchestration approaches, and cloud services based on business and technical requirements. - Work across multiple LLM providers and cloud platforms including OpenAI, Anthropic, Google, Azure, AWS, and GCP, or equivalent technologies. - Design and implement RAG-based solutions, including ingestion, chunking, embeddings, vector search, retrieval, context management, and response generation. - Design and implement Agentic AI solutions using frameworks such as LangChain and other modern agent orchestration technologies. - Build scalable API-driven AI services and microservices for enterprise applications and integrations. - Develop and optimize prompt engineering strategies for different use cases and business requirements. - Build and maintain data pipelines and supporting infrastructure for structured and unstructured data. - Provide technical leadership to development teams, conduct architecture and code reviews, and mentor engineers. - Support client engagements, technical discovery, proposals, solution presentations, effort estimation, and architecture discussions. Required Skills : - 9 - 14 years of experience in Digital Engineering, Data Engineering, Software Engineering, Data Analytics, AI/ML, or related technology domains. - Significant hands-on experience designing and implementing Generative AI solutions. - Strong expertise in RAG, Agentic AI, LLM orchestration, prompt engineering, and AI application architecture. - Strong programming skills in at least one major language used for AI/GenAI development, preferably Python, PySpark, or Java. - Hands-on experience integrating at least one major LLM platform/model through APIs or SDKs, such as OpenAI, Anthropic/Claude, Google/Gemini, or equivalent. - Experience with vector databases such as Pinecone, Chroma, FAISS, or equivalent technologies. - Strong understanding of API-based architectures, microservices, distributed systems, and scalable application design. - Hands-on experience with at least one major cloud platform : AWS, Azure, or GCP. - Experience leading technical teams, conducting code/design reviews, and mentoring developers. - Excellent communication, presentation, and technical storytelling skills.