[UAE] AI Solution Architect
Role Overview
Serve as technical authority on Sia's Middle East Data & AI engagements.
Design AI and agentic architectures and application modernization paths that take client ambitions from concept to production.
Translate business requirements into scalable, secure, and cost-aware solutions across cloud, machine learning, and generative AI.
Key Skills for This Role
Full Job Posting
Role overview
Serve as technical authority on Sia's Middle East Data & AI engagements.
Design AI and agentic architectures and application modernization paths that take client ambitions from concept to production.
Translate business requirements into scalable, secure, and cost-aware solutions across cloud, machine learning, and generative AI.
Architecture and client delivery
- Own end-to-end data and AI project architecture, including cloud infrastructure, data pipelines, model serving, generative AI, and agent-based systems.
- Design agent orchestration and the model layer, including selection and use of open-weight models.
- Define application modernization paths that embed AI into client systems and processes.
- Advise senior client stakeholders and align designs with business objectives, security policies, and applicable regulation.
- Lead client workshops and present architecture options to technical and non-technical audiences.
- Lead architecture reviews and technical governance; provide hands-on guidance to unblock delivery teams.
- Design for scalability, reliability, observability, production readiness, and cost.
- Support scoping, architecture proposals, effort estimates, and project pipeline development.
- Apply responsible AI and compliance practices; mentor junior colleagues and contribute to internal IP and reference architectures.
Qualifications and experience
- Degree in Computer Science, Data Science, AI, or a related field.
- 8+ years in solution or cloud architecture, or a senior engineering role with significant design ownership.
- Deep multi-cloud architecture expertise, including networking, security, compute, storage, and managed AI/ML services.
- Experience designing agent orchestration and model layers, including open-weight models.
- Knowledge of classical machine learning, deep learning, generative AI, autonomous agents, and data engineering.
- Experience taking AI solutions from proof of concept to production.
- Ability to engage senior clients, lead workshops, and translate business needs into technical solutions.
- Familiarity with AI compliance frameworks and responsible AI practices; sound judgment on architectural trade-offs.
Preferred credentials and languages
- Professional-level cloud architecture or data engineering certification is highly preferable; examples include AWS Solutions Architect Professional, Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect, or Databricks Professional Data Engineer.
- Professional proficiency in English is required; Arabic is a plus.
- Based in the UAE (Dubai or Abu Dhabi).
- Management consulting experience is not required.
Benefits and development
- Competitive compensation and benefits package.
- Career advocacy, mentoring, and ongoing learning and development opportunities.
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