About the RoleWe are looking for an experienced Engineering Lead who will own the technical direction, delivery quality, and team performance of one or more cross-functional squads building and managing services. This is a hands-on leadership role that blends architecture oversight, sprint-level delivery, and people management within a PI (Program Increment) planning cadence.The successful candidate will be deeply embedded in AI-augmented engineering practices – using Agentic AI workflows to accelerate development, testing, and deployment. You will champion an AI-first engineering culture, mentor your team on effective AI tool adoption, and drive measurable productivity improvements across the SDLC.You will work closely with senior client stakeholders, translating programme-level objectives into actionable engineering plans, managing dependencies across distributed teams, and ensuring consistent delivery standards across Gurgaon, Dubai, and Karachi.Core Responsibilities• Lead and manage a squad of 5 – 10 mobile, backend, and QA engineers across distributed locations, ensuring high delivery velocity and code quality• Own the technical architecture and engineering standards for mobile applications (iOS, Android, Flutter / React Native) within a multi-market loyalty platform• Drive sprint planning, backlog refinement, and PI planning activities in collaboration with Product Owners and Scrum Masters• Conduct code reviews, architecture reviews, and pull request governance – leveraging AI-powered review tools to improve throughput• Define and enforce engineering best practices: CI/CD pipelines (GitHub Actions), automated testing (Appium, WebDriverIO, Detox, Jest), static analysis (SonarQube, GHAS), and security scanning (Ostorlab, Snyk)• Own release readiness and coordinate with Release Management on go/no-go decisions across markets• Manage performance, development plans (PADP), and career progression for direct reports• Interface directly with senior client stakeholders on delivery status, technical decisions, and risk mitigationAI Proficiency Requirements• [MANDATORY] Hands-on experience with Agentic AI tools or advanced AI-assisted workflows (e.g., AI-driven code generation, autonomous testing agents, AI-powered architecture review, Claude, Cursor, Copilot Workspace) that have demonstrably improved personal or team efficiency by 150–200%. Candidates must demonstrate specific examples of AI-driven efficiency gains during the interview process• Ability to define and drive AI adoption strategy across the engineering team• Experience designing or implementing AI-augmented SDLC workflows across requirements, development, testing, and deployment• Track record of evangelising an AI-first engineering culture within delivery teams• Familiarity with AI agent orchestration patterns, prompt engineering best practices, and multi-step reasoning frameworksTechnical Requirements• Strong hands-on experience with mobile development across iOS (Swift/Objective-C), Android (Kotlin/Java), and at least one cross-platform framework (Flutter or React Native)• Deep understanding of CI/CD pipelines, automated testing strategies, and mobile release management• Experience with enterprise loyalty, rewards, or commerce platforms at scale (multi-market, multi-language, configuration-driven)• Proficiency with Git-based workflows, pull request governance, and branch strategy in GitHub• Working knowledge of Firebase, App Distribution, TestFlight, and mobile analytics tooling• Experience with security scanning tools (GHAS, Snyk, Ostorlab) and remediation workflows• Comfortable with Jira, Confluence, and PI-level programme management artefactsDesirable Skills• Experience with Server-Driven UI (SDUI) patterns and configuration management across markets• Familiarity with Azure (AKS, Web Apps, API Management) or equivalent cloud platforms• Experience mentoring team members and building engineering capability in offshore/nearshore delivery models• Understanding of accessibility standards (WCAG) and platform-specific accessibility implementation• Experience with Agentic AI solutions integrated into SDLC processes (requirements decomposition, automated test generation, intelligent deployment pipelines)What We Offer• Opportunity to work on a globally recognised consumer brand• An AI-first engineering culture that invests in cutting-edge tools and continuous learning• Collaborative, distributed team environment spanning multiple geographies• Competitive compensation package with performance-based progression• Access to AI training, certifications, conference attendance, and dedicated innovation time• Flexible working arrangements with a focus on outcomes over hours
Job Title
Engineering Lead - AI