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.

8-12+ years of experience in Agile, software engineering, DevOps, or technical consulting, with at least 1 year focused on AI/ML or developer productivity tooling.
Deep, hands-on expertise with AI coding assistants (GitHub Copilot, Cursor) and experience integrating LLMs into development workflows.
Strong background in modern CI/CD pipelines, automated testing frameworks, and Agile methodologies.
Proficiency with major cloud platforms (AWS, Azure, or GCP) and their respective AI/ML ecosystems.
Proven track record of leading technical change management initiatives or digital transformation projects for large enterprises.
Exceptional ability to communicate complex technical concepts to both C-level executives and engineering teams.

AI-Native Transformation Specialist

Key skills