AI Solutions Architect

We are partnered with an established global financial institution looking to expand their enterprise technology capabilities across the region.

They are seeking a seasoned Solution Architect spearhead the design and integration of their core enterprise AI platform. In this role, you will be the bridge between strategic business objectives and enterprise-grade AI deployment, ensuring architectures are production-ready, highly secure, and optimised for scale.

Key Responsibilities:
Architect and lead the end-to-end blueprint for an enterprise level AI platform, covering data pipelines, deployment infrastructure, and live model lifecycle management.
Convert complex institutional use cases into modular, scalable technical roadmaps and microservices architectures.
Partner with cross-functional engineering teams, data science units, and executive stakeholders to drive the execution of modern machine learning and generative AI solutions.
Define and enforce governance frameworks, data privacy boundaries, and enterprise security guardrails across all deployed AI systems.
Ensure all deployed architectures adhere strictly to high-availability, scalability, and regulated platform performance standards.

Requirements:
At least 8 years of experience in software engineering, data architecture, and distributed systems, with 5+ years dedicated specifically to production AI/ML solution design.
Strong architectural proficiency across major cloud environments (AWS, Azure, or GCP) utilizing modern microservices and API-first designs.
Hands-on familiarity with core programming environments (Python, Java, or Scala), data engineering frameworks, and generative AI/LLM deployment patterns.
Deep knowledge of secure SDLC, model monitoring, and regulatory compliance standards within heavily governed domains (e.g., Banking, Financial Services, Healthcare).
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Engineering, or a related technical discipline.