Job description

Our AI Solution Architect will be the technical authority on Sia's Data & AI engagements in the Middle East, designing the AI and agentic architectures and the application modernization paths that take client ambitions from concept to production. As part of the Data & AI team in the Middle East, they will translate business requirements into scalable, secure and cost-aware solutions across cloud, machine learning and generative AI.

The role combines hands-on technical leadership with client-facing advisory work, giving our AI Solution Architect the opportunity to shape reference architectures and grow the role to suit their own experience and interests.

Tasks may include but are not limited to:

• 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
• Carry out other appropriate delegated duties as required

As part of a diverse and motivated team, you will be involved in a range of projects with our clients, covering topics such as:

• AI and agentic architecture design for enterprise and government clients
• Application and data platform modernization on multi-cloud environments
• Responsible AI, governance and compliance by design