naukri
AI Systems Architect / AI Operations Engineering Lead
G A S CAPITAL PROJECT MANAGEMENT SERVICES CO. L.L.C
Dubai, UAE
Senior
2 months ago
AutomationAI Systems ArchitectAI Technical LeadMachine LearningHead of AI EngineeringAI Solutions Architect
Free
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AutomationAI Systems ArchitectAI Technical Lead
About the Role
Design and implement multi-agent operating models for enterprise IT delivery, focusing on AI systems, workflow orchestration, and secure deployment.
Key Skills for This Role
AutomationAI Systems ArchitectAI Technical LeadMachine LearningHead of AI EngineeringAI Solutions Architect
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Overview
- We are building a 100% AI based IT Company that delivers enterprise-grade digital solutions using a blend of autonomous AI agents and expert human oversight.
- Our operating model covers the full delivery lifecycle — from requirements and architecture to engineering, Design, Development, Code Review, QA, DevOps, security, and client reporting.
- We currently leverage best-in-class commercial AI platforms for speed and quality, with a strategic roadmap to transition core workloads to self-hosted, offline-capable models on owned infrastructure for better cost, privacy, and control.
- This role is for senior builders who has real experience designing production-grade AI systems, agent workflows, and enterprise software delivery platforms.
- The selected person will help design how AI agents collaborate across the full lifecycle of enterprise solutions, while keeping strong human approval layers for security, architecture, client commitments, and production release management.
- Design an end-to-end multi-agent operating model for enterprise IT delivery, from requirements gathering to deployment and support.
- Build orchestration between role-based agents such as project manager, business analyst, solution architect, frontend, backend, QA, mobile, DevOps, cloud, and cybersecurity agents.
- Define approval workflows, escalation rules, and audit trails for high-risk outputs.
- Evaluate paid AI platforms for fast launch and create a roadmap for self-hosted model adoption.
- Build secure deployment, monitoring, cost tracking, evaluation, and governance systems for AI-assisted delivery.
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