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.
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