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Enterprise Architect & GenAI
Job summary
A leading technology consulting firm is seeking an experienced Enterprise Architect – GenAI to design and implement AI-powered enterprise solutions in Abu Dhabi. The ideal candidate will have over 12 years of experience with a strong foundation in AI/ML, leading technical teams, and managing complex projects. Responsibilities include designing solutions, driving technical decisions, and liaising with clients. The role is full-time and requires readiness to relocate for client engagements.
Qualifications
- 12+ years of experience in relevant fields including GenAI leadership.
- Experience in deploying AI solutions across various environments.
- Strong communication skills to bridge business and technical requirements.
Responsibilities
- Design end-to-end AI-powered enterprise solutions.
- Lead a team of engineers in Agile environments.
- Drive technical decisions across various platforms.
- Act as liaison with client stakeholders.
Skills
Tools
Enterprise Architect – GenAI
Experience: 12+ years
Location: Onsite – Abu Dhabi, UAE
Note: This is a full-time onsite role based in Abu Dhabi, UAE. Candidates must be willing to relocate for long-term client engagements.
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 to lead strategic AI initiatives for a leading client in Abu Dhabi.
- 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
- Act as the key technical liaison with client stakeholders in Abu Dhabi
- 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
- 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
- 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
- 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
- 7+ complex projects delivered across enterprise systems and AI/ML solutions
- Team leadership experience managing diverse technical teams
- Experience working directly with enterprise customers and stakeholders
- (Good to have) AWS/Azure/GCP certifications (Solutions Architect + ML Specialty preferred)
- Valid passport and willingness to relocate to Abu Dhabi
- 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. Candidates must be relocation-ready and prepared for onsite leadership and client engagement in Abu Dhabi.
* 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.