• Conduct maturity assessments of customer software delivery lifecycles (SDLC) and design roadmaps for transitioning to AI-native engineering practices. • Lead the technical rollout and configuration of AI coding assistants (GitHub Copilot, Cursor, Windsurf) and LLM-based productivity tools within complex enterprise environments. • Redesign core engineering processes—including code review, QA, and documentation—to leverage AI agents and automated workflows, reducing cycle time by 30-50%. • Design and deliver workshops, training sessions, and playbooks to upskill engineering teams, fostering a culture of 'learning relentlessly' and safe AI adoption. • Act as an internal change agent for Nous Infosystems, embedding AI-native practices into our own delivery centers to ensure we remain at the cutting edge of digital engineering. • Define and track KPIs related to developer productivity, code quality, and time-to-market to demonstrate tangible ROI from AI investments. • Stay ahead of the curve on emerging AI agents, autonomous coding frameworks, and cloud AI platforms (AWS Bedrock, Azure OpenAI) to continuously evolve our service offerings.