Bachelor’s degree in Computer Science, Data Science, Engineering, or related field
7–10+ years of experience developing scalable applications, including AI/ML systems
Strong expertise in Python and data libraries (NumPy, Pandas, etc.)
Proven experience with LLMs and GenAI frameworks and their practical application in enterprise solutions
Experience designing and deploying machine learning systems across training, inference, and monitoring
Strong understanding of system architecture, distributed systems, and data engineering concepts
Demonstrated ability to lead technical initiatives and mentor teams
Strong analytical, problem-solving, and decision-making skills
Ability to work effectively across global, cross-functional teams
This is a senior development role responsible for leading the design, architecture, and implementation of advanced applications and data-driven solutions within the Technology team. The role requires deep expertise in Python, data engineering, and AI/GenAI (including LLMs), with a strong focus on delivering scalable, innovative solutions to complex business problems. The individual will drive end-to-end development efforts, influence architecture decisions, and lead engineering teams while ensuring alignment with enterprise standards and strategic objectives.
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.
