Software Architect jobs in United Arab Emirates
Enterprise Architect (LLMs, GenAI, AI / ML)
NorthBay Solutions LLC
GenAI & AgenticAI Architect - AbuDhabi
NorthBay Solutions
Enterprise Architect - Abu Dhabi Based - Financial Services
Michael Page
Discover more opportunities than anywhere else. Find more jobs nowAI Solution Architet(solutioning AI,ML and GenAI solutions)
TAT IT Technolgies
Connect with headhunters to apply for similar jobsHiring Solution Architect – Digital Application in Dubai, UAE
Systems Limited
Principal Architect- Customer Journeys
First Abu Dhabi Bank
Presales Solutions Architect, Oracle Cloud Infrastructure - Logicom Distribution - Dubai, UAE
Logicom Public Ltd
Enterprise Architect (LLMs, GenAI, AI / ML)
Job summary
A leading tech solutions provider seeks an experienced Enterprise Architect in Abu Dhabi. The role involves designing AI-powered enterprise solutions and leading technical teams across various deployment environments. Candidates should have extensive experience in GenAI leadership and AI/ML foundations. The job requires strong communication skills and agility in project delivery.
Qualifications
- 10+ years of experience in enterprise architecture and deployment.
- 3+ years of GenAI leadership experience.
- Strong AI/ML production experience.
- Expertise in cloud architectures and tools.
Responsibilities
- Design AI-powered enterprise solutions integrating traditional systems.
- Lead cross-functional teams in Agile environments.
- Drive technical decisions on infrastructure and AI components.
Skills
Tools
NorthBay Solutions seeks an Enterprise Architect with proven GenAI leadership, strong AI / ML foundation, and solid enterprise architecture background. We want seasoned professionals with deployment experience across on-premises, cloud, and hybrid environments.
Note : This role requires flexibility to relocate to Abu Dhabi (UAE) for onsite client requirements.
- Design end-to-end AI-powered enterprise solutions integrating traditional systems with AI / ML
- Lead 8–12 engineers across full-stack, DevOps, and AI / ML specializations in Agile environments
- Drive technical decisions spanning infrastructure, databases, APIs, microservices, and AI components
GenAI Leadership (3+ Years) – PRIMARY
- Expert-level LLM experience (LLAMA, Mistral, GPT) including fine-tuning and deployment
- Agentic AI, MultiAgent systems, Agentic RAG implementations
- Vector Databases, LangChain, Langraph, and modern GenAI toolchains
- Advanced prompt engineering and Chain-of-Thought techniques
- 3+ production GenAI applications successfully implemented
AI / ML Foundation (4–5 Years)
- Hands-on AI / ML experience building production systems with Python, TensorFlow, PyTorch
- ML model lifecycle management from development to deployment and monitoring
- Integration of AI / ML models with existing enterprise architectures
Enterprise Architecture & Deployment (8+ Years)
- Full-stack development with MERN stack or equivalent
- Deployment experience across on-premises, cloud, and hybrid environments
- Kubernetes expertise for container orchestration and deployment
- Database proficiency: SQL (PostgreSQL / MySQL) and NoSQL (MongoDB / DynamoDB)
- API development: RESTful services, GraphQL, microservices architecture
- DevOps experience: Docker, CI / CD pipelines, infrastructure automation
Cloud & Infrastructure
- Strong cloud experience (AWS / Azure / GCP) with ML services
- AWS : SageMaker, Bedrock, Lambda, API Gateway or equivalent
- Hybrid architecture design combining on-prem, cloud, and AI / ML systems
Proven Delivery
- 7+ complex projects delivered across enterprise systems and AI / ML solutions
- Team leadership experience managing diverse technical teams
Requirements
- Good to have) AWS / Azure / GCP certifications (Solutions Architect + ML Specialty preferred)
- Strong communication skills bridging business and technical requirements
- Agile / Scrum leadership experience with measurable team performance improvements
Priority expertise : GenAI Leadership → AI / ML Foundation → Enterprise Architecture with deployment experience across on-premises, cloud, and hybrid environments.
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.