AI Solution Architect
D4 Insight
Date: 1 day ago
City: Abu Dhabi
Contract type: Full time
We’re Hiring: AI Solution Architect
Location: Abu Dhabi
Salary: AED 30K+ (based on experience and interview)
Experience: 8+ Years
About The Role
We are looking for an accomplished AI Solution Architect to design and deliver AI, ML, and Generative AI solutions at enterprise scale. The ideal candidate will bring deep technical expertise in modern AI architectures, system integrations, and LLM-driven applications – with the ability to translate complex business needs into scalable, secure, and high-performing AI solutions.
Key Responsibilities
Location: Abu Dhabi
Salary: AED 30K+ (based on experience and interview)
Experience: 8+ Years
About The Role
We are looking for an accomplished AI Solution Architect to design and deliver AI, ML, and Generative AI solutions at enterprise scale. The ideal candidate will bring deep technical expertise in modern AI architectures, system integrations, and LLM-driven applications – with the ability to translate complex business needs into scalable, secure, and high-performing AI solutions.
Key Responsibilities
- Architect, design, and deploy AI/ML and GenAI solutions across diverse business domains and hybrid environments.
- Develop and integrate APIs, microservices, and enterprise-grade AI systems, ensuring alignment with architecture standards.
- Translate business requirements into scalable technical architectures for AI/ML and Generative AI use cases.
- Design and implement Conversational AI systems, including intelligent chatbots and virtual assistants powered by Large Language Models (LLMs).
- Build and deploy GenAI applications and intelligent agents, integrating them with enterprise systems through APIs and event-driven architectures.
- Lead end-to-end GenAI solution design, focusing on performance, cost, security, and scalability.
- Orchestrate agentic workflows using frameworks such as LangChain, Semantic Kernel, or custom orchestration layers.
- Manage the LLM lifecycle, including fine-tuning, versioning, rollback, and secure access through enterprise identity systems.
- Apply MLOps practices to streamline model deployment, monitoring, and lifecycle management.
- Design and deploy cloud-native AI/ML solutions on Azure or AWS, leveraging serverless architectures and cost optimization strategies.
- Collaborate with cross-functional teams – enterprise architects, cloud engineers, and security teams – to ensure compliance, scalability, and secure deployments.
- Proven hands-on experience in AI/ML and Generative AI architecture and solution design.
- Strong understanding of LLMs, MLOps, API integrations, and hybrid system architecture.
- Expertise in cloud AI services (Azure AI, AWS Sagemaker, Bedrock, etc.).
- Familiarity with LangChain, Semantic Kernel, and modern AI orchestration frameworks.
- Excellent problem-solving, communication, and stakeholder management skills.
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