Senior Tech Lead

ai71; Abu Dhabi; Presencial; AED 420.000 - 540.000; Jornada completa

Descripción de la vacante

AI71 is seeking a Senior Technical Lead to drive the technical design, delivery, and engineering excellence of the AI71 platform. You will lead high‑performing teams, shape technical direction, and partner with Product, AI/ML, and Leadership stakeholders to deliver resilient, enterprise‑grade systems.

This hands‑on leadership role requires deep technical expertise, systems thinking, and people leadership to translate business goals into scalable software, establish standards, and ensure on-time

Formación

• 8–12+ years in software engineering.

Responsabilidades

• Define and own system architecture for scalable, secure platforms.

Conocimientos

Python

Backend systems

Distributed systems

APIs

Databases (SQL & NoSQL)

AI/ML experience

Cloud platforms (AWS/Azure/GCP)

Technical leadership / architecture

Educación

Bachelor’s or Master’s degree in Computer Science or related field

Herramientas

AWS

Azure

GCP

Descripción del empleo

About Us

AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses, and governments to solve complex challenges. We build secure, enterprise-ready applications powered by cutting-edge technology, specifically tailored for knowledge workers and sector-specific needs.

AI71 bridges the gap between advanced AI and real-world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower organizations to leverage AI for meaningful outcomes.

Role Overview

We are seeking a highly experienced Senior Technical Lead to drive the technical design, delivery, and engineering excellence of the AI71 platform. This role sits at the intersection of architecture, engineering leadership, and execution. You will lead high-performing teams, shape technical direction, and partner with Product, AI/ML, and Leadership stakeholders to deliver resilient, enterprise-grade systems. This is a hands‑on leadership role—ideal for someone who combines deep technical expertise with systems thinking and people leadership.

Key Responsibilities

Technical Strategy & Architecture

• Define and own system architecture for scalable, secure, high-performance platforms.
• Lead technical design reviews and align delivery teams with the long-term engineering vision.
• Drive best practices in software design, coding standards, and system reliability.
• Make "build vs. buy" decisions and evaluate emerging technologies.
• Identify opportunities to leverage AI tooling within the software delivery lifecycle.

Engineering Leadership

• Lead and mentor engineers across all levels (Senior, Mid-level, and Junior).
• Provide technical direction across multiple squads or product teams.
• Establish engineering standards, code review culture, and quality benchmarks.
• Support hiring, onboarding, and performance development.

Delivery & Execution

• Translate business requirements into technical execution plans.
• Ensure high-quality projects are delivered on time and within scope.
• Partner with Product Managers to shape roadmaps and perform technical feasibility assessments.
• Manage technical risks, dependencies, and act as a technology custodian for client delivery.

Operational Excellence

• Oversee system performance, monitoring, logging, and reliability.
• Collaborate with DevSecOps to champion CI/CD, infrastructure automation, and security.
• Optimize engineering velocity through tooling and process improvements.
• Drive action-oriented outcomes in release management (favoring tangible results over theory).

Cross-Functional Collaboration

• Work with AI/ML engineers to integrate product features.
• Shape interaction patterns between architectural layers with frontend and backend teams.
• Communicate architectural decisions and trade‑offs to stakeholders.

Experience & Qualifications

Required

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience: 8–12+ years in software engineering; 3–5+ years in a technical leadership or architect-level role.
• AI/ML: Experience building AI-powered or ML-enabled applications.
• Technical Stack: Strong expertise in backend systems (e.g., Python) and cloud platforms (AWS, Azure, or GCP).
• Systems Design: Deep understanding of distributed systems, cloud-native architectures, databases (SQL & NoSQL), and APIs.
• Quality: Proven track record leading code reviews and maintaining high engineering standards.

Preferred

• Experience in enterprise or government-grade systems.
• Familiarity with security, compliance, and privacy frameworks.
• Prior experience in high-growth or startup environments.