Bachelor’s or Master’s degree in Computer Science or related field.
Strong hands-on software engineering experience within enterprise environments.
Ability to stay current with modern AI tools, LLMs, AI development platforms, and emerging engineering technologies.
Proficiency in languages like Python, Java, or TypeScript.
Understanding of APIs, distributed systems, cloud-native architectures, and integration patterns.
Experience leading client-facing engineering or delivery engagements for global accounts.
Excellent communication, problem-solving, and stakeholder engagement skills.
Curiosity and passion for exploring new technologies and applying them in practical ways. Partner with global client engineering teams to understand goals, challenges, and priorities.
Lead workshops, discovery sessions, solutioning, and technical discussions.
Coordinate delivery across distributed teams to ensure clarity on scope, timelines, risks, and progress.
Use modern AI tools—LLMs, agentic coding systems, intelligent IDEs, and AI development frameworks—to enhance engineering workflows.
Support integration across APIs, pipelines, cloud services, and engineering toolchains.
Communicate effectively with technical and business stakeholders worldwide.
Mentor both client and Infosys teams in modern engineering and AI-enabled practices.
Encourage experimentation, continuous learning, and innovation Nice to Have
Experience leading multi-region engineering or transformation initiatives.
Exposure to AI-enabled engineering programs or digital engineering modernization.
Evidence of innovation—accelerators, POCs, tooling initiatives, or thought leadership. ________________________________________ Why Join Us
Shape how global enterprises build software using AI.
Work with diverse teams and clients around the world.
Influence delivery practices and drive engineering excellence at scale.
Be part of a dynamic, forward-thinking environment that values experimentation and innovation.
