Key Responsibilities

• Lead architecture, engineering standards, and platform strategy for enterprise AI and Generative AI solutions
• Define scalable, secure, cloud-agnostic AI platform architectures
• Shape Terraform/IaC standards, DevOps pipelines, and secure deployment patterns
• Establish observability, resiliency, and platform operating models
• Collaborate with engineering, security, compliance, and business stakeholders
• Influence senior stakeholders across business, technology, risk, compliance, security, data, and architecture forums

Requirements

• 10+ years in AI/ML systems, distributed systems, enterprise architecture, or platform engineering
• Deep experience with LLMs, RAG, embeddings, model serving, AI orchestration, evaluation frameworks, and AI infrastructure
• Proven track record defining architecture and technical standards across multiple engineering teams
• Strong AWS cloud architecture experience or comparable hyperscaler depth
• Experience with Terraform/IaC standards and DevOps pipelines
• Ability to influence senior stakeholders across business, risk, compliance, and architecture forums
• Global bank, fintech, financial-services, or regulated-enterprise platform experience preferred
• Familiarity with Responsible AI, model risk management, and audit expectations preferred

Skills Required