In this role, you'll define the architecture for intelligent, enterprise-grade applications and platforms with AI built into the core design rather than added as an afterthought. You'll shape end-to-end solutions across application services, integration layers, data architecture, event-driven systems, security, and AI/ML components. That includes designing patterns for model integration, batch and real-time inference, feature and data pipelines, vector search, LLM orchestration, agent frameworks, evaluation services, and responsible AI controls. You’ll guide teams on scalability, resilience, interoperability, observability, privacy, and compliance, and ensure architecture choices support both near-term delivery and long-term platform evolution. Your work will directly influence how quickly engineering teams can build, govern, and scale AI-enabled capabilities across products and customer scenarios.
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Requirements
- Deep expertise in software architecture for large-scale distributed systems, including microservices, event-driven patterns, APIs, integration layers, and data platforms
- Strong understanding of AI and ML system architecture, including training pipelines, inference layers, model lifecycle design, and ML platform capabilities
- Experience designing enterprise-grade generative AI solutions using LLMs, embeddings, vector databases, RAG patterns, tool use, and orchestration frameworks
- Skilled at designing scalable and secure application architectures that integrate transactional systems, analytical platforms, and AI-powered services
- Strong knowledge of cloud-native architecture, including containers, Kubernetes, infrastructure automation, observability, resilience, and performance engineering
- Experience defining reference architectures, design standards, and reusable technical patterns for AI-enabled product development
- Strong understanding of data architecture, governance, metadata, privacy, and access patterns required to support trustworthy AI solutions
- Evaluate build-versus-buy decisions across models, platforms, data services, and integration tooling, clearly articulating technical and business trade-offs
- Knowledge of responsible AI, model governance, security controls, compliance requirements, and architectural guardrails for safe enterprise adoption
- Experience leading architecture reviews, influencing engineering roadmaps, and aligning technical direction across multiple teams or product areas
- Ability to communicate complex architectural decisions clearly to engineers, product leaders, and executive stakeholders
About You
You bring 6+ years of experience in software engineering, architecture, or a related field, with a strong track record of designing and delivering complex systems. You think in systems, with a strong ability to connect architecture decisions to broader platform strategy and business outcomes. You are a technical leader who influences without authority and drives alignment across teams and organizations. You are passionate about building robust, extensible systems that stand the test of time and stay current with emerging technologies, particularly in AI, cloud, and distributed systems.
Work Conditions
- Expected Travel: 0 - 10%
- Employment Type: Regular Full Time
- Career Status: Professional
Location
Dubai, Dubai, AE
