Engineering Lead – AI

About the Role

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.

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 mitigation

AI 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 150200%. 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

Technical 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 artefacts

Desirable 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