Enterprise AI Architect
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Key skills for this role
About the Role
Socium is seeking an experienced AI Architect (Automation) for a hybrid contract role in Abu Dhabi, UAE. The role involves leading the design, architecture, and governance of enterprise AI, Machine Learning, and Intelligent Automation solutions.
Key Skills for This Role
Responsibilities
- Design and lead enterprise architecture for Artificial Intelligence, Machine Learning, and Intelligent Automation solutions
- Define AI reference architectures, architecture standards, governance models, and best practices across the organization
- Develop scalable, secure, and resilient AI solution architectures aligned with enterprise technology strategies
- Produce architecture documentation including solution blueprints, integration diagrams, architecture principles, and technical standards
- Architect enterprise AI solutions utilizing Microsoft Azure AI services
- Design cloud native AI platforms that support scalability, high availability, security, and operational excellence
- Define deployment strategies for AI applications, model serving, monitoring, and lifecycle management
- Architect enterprise automation solutions utilizing RPA, workflow orchestration, and AI powered process automation platforms
- Identify automation opportunities that improve operational efficiency and business productivity
- Design intelligent workflows integrating AI capabilities into enterprise business processes
- Establish AI governance frameworks covering Responsible AI, model lifecycle management, compliance, security, and data governance
- Provide technical leadership and architectural guidance to engineering, data science, and platform teams
Requirements
- Approximately 10+ years of experience in Enterprise Architecture, Solution Architecture, Cloud Architecture, or related technology leadership roles
- Hands on experience designing and deploying enterprise AI solutions using Microsoft Azure AI services (Azure Machine Learning, Azure OpenAI Service, Azure AI Studio, Cognitive Services)
- Strong experience architecting Intelligent Automation solutions using RPA, workflow orchestration, or AI powered automation platforms
- Solid understanding of Enterprise Architecture frameworks such as TOGAF or similar methodologies
- Experience designing scalable, secure, cloud native architectures within Microsoft Azure environments
- Strong knowledge of the AI/ML lifecycle including data pipelines, model deployment, MLOps, monitoring, and operational governance
- Experience collaborating with Enterprise Architecture, Data Engineering, Security, Infrastructure, and Business teams
- Strong understanding of enterprise integration patterns, APIs, microservices, and cloud native application architectures
- Excellent stakeholder management, communication, and presentation skills
Full Job Posting
General Description
- Join a leading enterprise organization driving large scale digital transformation through Artificial Intelligence, Intelligent Automation, and cloud native technologies.
- We are looking for an experienced AI Architect (Automation) to lead the design, architecture, and governance of enterprise AI, Machine Learning, and Intelligent Automation solutions across the organization.
- This role is ideal for a strategic technology leader who combines deep expertise in Enterprise Architecture, Microsoft Azure AI, Intelligent Automation, Cloud Architecture, and Generative AI.
Key Responsibilities
- Design and lead enterprise architecture for Artificial Intelligence, Machine Learning, and Intelligent Automation solutions.
- Define AI reference architectures, architecture standards, governance models, and best practices across the organization.
- Develop scalable, secure, and resilient AI solution architectures aligned with enterprise technology strategies.
- Produce architecture documentation including solution blueprints, integration diagrams, architecture principles, and technical standards.
- Architect enterprise AI solutions utilizing Microsoft Azure AI services including Azure Machine Learning, Azure OpenAI Service, Azure AI Studio, Cognitive Services, and related Azure technologies.
- Design cloud native AI platforms that support scalability, high availability, security, and operational excellence.
- Define deployment strategies for AI applications, model serving, monitoring, and lifecycle management.
- Architect enterprise automation solutions utilizing Robotic Process Automation (RPA), workflow orchestration, and AI powered process automation platforms.
- Identify automation opportunities that improve operational efficiency and business productivity.
- Design intelligent workflows integrating AI capabilities into enterprise business processes.
- Partner with Enterprise Architecture teams to ensure AI initiatives align with enterprise integration patterns and technology roadmaps.
- Design integration architectures connecting AI platforms with enterprise applications, APIs, cloud services, and data platforms.
Required Experience
- Approximately 10+ years of experience in Enterprise Architecture, Solution Architecture, Cloud Architecture, or related technology leadership roles.
- Hands on experience designing and deploying enterprise AI solutions using Microsoft Azure AI services, including Azure Machine Learning, Azure OpenAI Service, Azure AI Studio, and Cognitive Services.
- Strong experience architecting Intelligent Automation solutions using RPA, workflow orchestration, or AI powered automation platforms.
- Solid understanding of Enterprise Architecture frameworks such as TOGAF or similar methodologies.
- Experience designing scalable, secure, cloud native architectures within Microsoft Azure environments.
- Strong knowledge of the AI/ML lifecycle including data pipelines, model deployment, MLOps, monitoring, and operational governance.
- Experience collaborating with Enterprise Architecture, Data Engineering, Security, Infrastructure, and Business teams.
- Strong understanding of enterprise integration patterns, APIs, microservices, and cloud native application architectures.
- Excellent stakeholder management, communication, and presentation skills with the ability to explain complex technical concepts to executive and non technical audiences.
- Strong analytical, strategic thinking, and problem solving capabilities.
Preferred Experience
- Experience integrating AI platforms with SAP BTP, SAP AI Core, SAP S/4HANA, or other enterprise SAP technologies.
- Experience with Generative AI, Large Language Models (LLMs), AI Agents, and AI governance frameworks.
- Microsoft certifications such as Azure Solutions Architect Expert and Azure AI Engineer Associate.
- TOGAF or other Enterprise Architecture certifications.
- Experience leading enterprise digital transformation initiatives involving AI, automation, and cloud modernization.
- Knowledge of Responsible AI principles, enterprise data governance, and regulatory compliance.
Work Setup
- Hybrid – Abu Dhabi, UAE
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