Engineering Lead – AI
We 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.
What you'll do
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 mitigation
What you'll bring
[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 frameworks
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 artefacts
Nice to have
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)
Benefits & Perks
Role summary
- Location
- Chandigarh
- Type
- Full-time
- Compensation
- Competitive Salary
Apply now
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