Responsibilities
1. Emerging Tech Trends Research - Research on emerging tech trends, ecosystem of players, use cases and their applicability and impact to client businesses. Scan & curate startups, universities and tech partnerships needed and create innovation ecosystem. Rapidly design and develop PoCs in Emerging tech areas. Share design specifications with other team members, get the components developed, integrate and test. Build reusable components and develop PoCs using relevant startups and Open-source solutions. 2. Thought Leadership - Develop showcases that demonstrate how emerging technologies can be applied in a business context, demo scenarios for the IP. Contribute towards patents, tier-1 publications, whitepapers, blogs in the relevant emerging tech area Get certified on the emerging technology, frameworks 3. Applied Research Center Activities - Contribute to high level design development, testing and implementation of new proof of concepts in emerging tech areas. 4. Problem Definition, Requirements - Understand technical requirements and define detailed design. Analyze the reusable components to map the given requirement to existing implementation and identify needs for enhancements 5. IP Development - Develop program level design, modular components to implement the proposed design. Design and develop reusable components. Ensure compliance with coding standards, secure coding, KM guidelines while developing the IP 6. Innovation Consulting - Understand client requirements and implement first of kind solutions using emerging tech expertise. Customize and extend IP for client specific features 7. Talent Management - Mentor the team and help them acquire the identified emerging tech skill. Participate in demo sessions, hackathons 8. Emerging Tech Startup Ecosystem – Work with startups in providing innovative solutions to client problems and augmenting Infosys offerings
Technical Requirements
Applied Research Center [Emerging Areas] Advanced AI [SLM, Inference Scaling, Synthetic Data, Distributed Learning, Agentic AI, ANI] New Interaction Models [Spatial computing, Mixed Reality, 3D visualizations, New Experiences] Platforms and Protocols [Architecting and engineering for Performance, Uptime, Low-latency, Scalability, Efficiency, Data, Interoperability and Low cost, Beckn, CDPI] Cybersecurity [Ethical hacking, Threat Mgmt, Supply chain security & risk, Cyber Resilience] Quantum [Quantum AI, Stack, Simulation & Optimization, Cryptography, Valued use cases] Autonomous Machines [Humanoids, Industrial Robots, Drones, Smart Products] Emerging Research [Brain, AGI, Space, Semicon ]
Preferred Skills
Domain->User Experience Design->Usability Principles->HCI
Foundational->Learning Experience Design->Learning design Management->IP Management
Technology->X Reality (XR)->Augmented Reality
Technology->X Reality (XR)->Virtual Reality
Technology->Blockchain->Blockchain as a Service (BaaS)->AWS Blockchain
Technology->Robotic Process Automation->Intelligent Process Automation
Foundational->Cybersecurity Competency Management->Cyber Competency Strategy Planning
Foundational ->Data privacy->Privacy by design
Technology->Machine Learning->Generative AI
Additional Responsibilities
Technical Competencies • Advanced theoretical knowledge in specific domain • Experimental design and methodology expertise • Data analysis and interpretation skills • Prototype development capabilities • Research tool proficiency relevant to domain Soft Skills and Attributes • Collaborative mindset for cross-disciplinary research • Communication skills for knowledge dissemination • Creative problem-solving approach • Intellectual curiosity and innovation focus • Commercial awareness for translational research
Educational Requirements
PhD of Computer Science,Bachelor of Engineering