AI Solutions Architect

Job Responsibilities

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Responsibilities may include but are not limited to:
• ▪ Architect complex multi-agent systems using Azure (OpenAI/MAI) and GCP frameworks; ensure scalability and interoperability across platforms;
• ▪ Define and maintain solution blueprints: reference architectures, integration patterns, orchestration layers, and governance models;
• ▪ Lead enterprise deployment of LLM-powered agents, automation, and conversational systems; integrate with existing technologies;
• ▪ Embed KPMG Trusted AI principles, model risk management, data privacy and regulatory compliance; implement auditability and security controls;
• ▪ Partner with engineering, product, cloud, data, and security teams; align with the Enterprise Architect vision and Tech Enablement strategy;
• ▪ Own the AI Agents Roadmap; establish RCA and monitoring frameworks for performance and resource allocation at scale.

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Eligibility Requirements

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• ▪ Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, or a related technical field;
• ▪ 10+ years of experience in enterprise technology roles involving architecture, platform engineering, or large-scale distributed systems. Deep hands-on experience designing or operating cloud-native solutions on Microsoft Azure and Google Cloud Platform (GCP);
• ▪ Proven expertise in enterprise AI, including LLM and multi-agent frameworks, scalable microservices and distributed systems, end-to-end governed data pipelines, advanced monitoring and observability, and Responsible AI compliance for secure deployments.

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