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EngineerFull-timeLead Level

Engineering Lead – AI

GurgaonCompetitive Salary

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.

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 mitigation

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 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

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

Apply Now

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