AI Solutions Architect

About the role

We are partnering with a global financial institution to expand its enterprise technology capabilities. As an AI Solutions Architect you will bridge strategic business objectives with production‑ready AI deployments, ensuring security, scalability, and regulatory compliance.

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.
• Translate complex institutional use cases into modular, scalable technical roadmaps and micro‑services architectures.
• Collaborate with engineering, data‑science, and executive teams to deliver modern machine‑learning and generative‑AI solutions.
• Define and enforce governance frameworks, data‑privacy boundaries, and enterprise security guardrails for all AI systems.
• Ensure architectures meet high‑availability, scalability, and regulated performance standards.

Required profile

• 8+ years of experience in software engineering, data architecture, and distributed systems, with 5+ years focused on production AI/ML solution design.
• Strong architectural expertise across major cloud platforms (AWS, Azure, or GCP) using micro‑services and API‑first designs.
• Hands‑on experience with Python, Java, or Scala, data‑engineering frameworks, and generative AI/LLM deployment patterns.
• Deep knowledge of secure SDLC, model monitoring, and regulatory compliance in heavily governed domains such as banking or healthcare.
• Bachelor’s or Master’s degree in Computer Science, AI, Data Engineering, or a related technical field.

Required skills

• Python
• Java
• Scala
• AWS
• Azure
• GCP
• Micro‑services
• API‑first design
• Data‑engineering frameworks
• Generative AI
• LLM deployment
• Secure SDLC
• Model monitoring