Senior Software Engineer - AI and Cloud Integration

Senior Forward Deployed Engineer - FDE - Q1-27

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. 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. 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