Technology Lead - AI Solutions Expert

Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you. At Infosys, we assure that your career will never stand still, we will inspire you to build what's next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people. @@HD@@ Your role @@/HD@@ We are looking for an AI Solutions Expert to help build practical AI solutions within the Finance & Risk Grid. The role will focus on turning identified use cases into working solutions that improve productivity, analysis, validation, migration, and operational processes across the grid. The expert will work closely with business and IT SPOCs across FR grid, helping teams move from ideas to implementation and establishing reusable patterns for AI adoption within the grid. Works in close collaboration with grid AI lead, architects, and business/IT SPOCs Helps structure work into quick wins, pilots, and scalable solutions Builds practical solutions instead of only high-level concepts Keeps governance, security, and enterprise constraints in mind Supports knowledge sharing and capability build-up inside the grid 0 • Translate business and IT AI use cases into practical solution designs and prototypes • Build AI-enabled solutions for areas such as: • document and knowledge intelligence • data query / validation / comparison support • migration and code transformation support Helps structure work into quick wins, pilots, and scalable solutions • production and operational intelligence • Work with business and IT SPOCs to understand processes, pain points, and expected outcomes • Design and develop AI-assisted solutions using approved tools and platforms

40 Helps structure work into quick wins, pilots, and scalable solutions • Good practical knowledge of LLM-based application patterns such as: • prompt design • structured outputs • RAG • semantic search / vector search Builds practical solutions instead of only high-level concepts • Good experience with SQL and data analysis / comparison logic • Experience in building APIs, services, or backend components for AI solutions • Ability to convert use cases into practical implementation steps • Strong communication skills and ability to work with both technical and non-technical stakeholders • Ability to work in an environment where business context, data, and governance matter 0 • Python • SQL • REST APIs • JSON / structured data handling • AI application development using LLMs Keeps governance, security, and enterprise constraints in mind • RAG / vector-search-based solution patterns

200 Keeps governance, security, and enterprise constraints in mind • Experience with document-heavy enterprise AI use cases • Experience in migration / transformation support, including code conversion or code understanding use cases • Experience in regulated environments such as banking, risk, finance, or compliance • Familiarity with production support, validation, reconciliation, or control processes • Experience in setting up evaluation and monitoring for AI solutions • Databricks • Azure OpenAI / Azure AI services Supports knowledge sharing and capability build-up inside the grid • FastAPI or Flask • GitHub Copilot • YAML • DevOps / CI-CD exposure • Basic frontend integration understanding • Translate business and IT AI use cases into practical solution designs and prototypes

Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include: • High analytical skills • A high degree of initiative and flexibility • High customer orientation • High quality awareness • Excellent verbal and written communication skills