Job Description

Key Responsibilities:


Define and own the end-to-end architecture of GenAI solutions


Design, prototype, and implement LLM-based systems, including RAG pipelines, fine-tuning, and prompt engineering.


Lead evaluation and integration of foundation models (OpenAI, Claude, Mistral, Meta, etc.) and open-source alternatives (LLaMA, Falcon,etc.).


Collaborate with cross-functional teams (Data, DevOps, Product, Security) to integrate GenAI into enterprise systems securely and at scale.


Architect LangChain, Haystack, or similar frameworks for orchestration of tool use and agentic workflows.


Guide teams on model fine-tuning, embeddings, vector store design, and knowledge base integration.


Stay current with GenAI research and industry trends, and drive adoption of relevant innovations.
Mentor and lead junior AI engineers and data scientists.


Interface with stakeholders to translate business needs into technical architectures and scalable GenAI solutions.

About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth -- one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.



Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.



Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.