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.
