[UAE] AI Solution Architect

Role Overview

Key Responsibilities

• Own the end-to-end architecture of data and AI projects, covering cloud infrastructure, data pipelines, model serving, generative AI and agent-based systems.
• Design agent orchestration and the model layer, including the selection and use of open-weight models.
• Define application modernization paths that embed AI into client systems and processes.
• Act as the primary technical contact for senior client stakeholders, aligning designs with business goals, security policies and applicable regulation.
• Lead client workshops and present technical capabilities and architecture options to technical and non-technical audiences.
• Lead architecture reviews and technical governance across workstreams, and unblock delivery teams with hands-on guidance when needed.
• Design for production readiness: scalability, reliability, observability and cost.
• Support scoping, architecture proposals and effort estimates to build and convert the project pipeline.
• Apply AI compliance frameworks and responsible AI practices to every design.
• Mentor junior consultants and engineers, and contribute to Sia's internal IP, accelerators and reference architectures.

Qualifications

• Degree in Computer Science, Data Science, AI or a related field.
• 8+ years' experience in solution or cloud architecture, or in a senior engineering role with significant design ownership.
• Deep expertise in multi-cloud architecture (AWS, Azure, Google Cloud and/or Databricks), including networking, security, compute, storage and managed AI/ML services.
• Proven experience designing agent orchestration and the model layer, including open-weight models.
• Solid grasp of classical machine learning, deep learning, generative AI, autonomous agents and data engineering.
• Demonstrable experience of taking AI solutions from proof of concept to production.
• Proven ability to engage senior client stakeholders, lead workshops and translate business needs into technical solutions.
• Familiarity with AI compliance frameworks and responsible AI practices.
• Sound judgment on architectural trade-offs under uncertainty.
• Professional-level certification is highly preferable: AWS Solutions Architect Professional, Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect or Databricks Professional Data Engineer.
• Management consulting experience is not required.
• Professional proficiency in English is a must; Arabic is a plus.

Project Topics

What Sia Offers

• Competitive compensation: a competitive salary and benefits package benchmarked against the market.
• Entrepreneurial spirit that fosters innovation and empowers you to drive your own success.
• Tailored career advocacy program pairing you with mentors who provide actionable feedback.
• Continuous growth through ongoing learning and development opportunities, particularly in new and emerging topics.

About Sia