The Gen AI Solution Architect provides technical leadership and designs complex solution architectures that support business strategy and streamline technology-enabled workflows. This position focuses on emerging technologies, including AI, Generative AI, and machine learning, and guides solutions from research and analysis through architecture, delivery support, and operational readiness. Hands-on experience with GenAI and LLM solutions, including retrieval-augmented generation, embeddings, evaluation, and production monitoring. • Experience with AI and ML platforms or services, such as AWS SageMaker, Amazon Bedrock, Azure AI, Azure OpenAI, or Google Vertex AI. • Familiarity with MCP-based integrations and related agent tool standards, including skills and plugin manifests, function calling schemas, and OpenAPI-defined tools, plus secure enterprise integration patterns. • Container and orchestration experience, such as Docker and Kubernetes, and cloud container platforms like ECS or EKS. • Experience with vector databases and search technologies and associated indexing and retrieval patterns. • Experience with enterprise observability, including centralized logging, tracing, metrics, alerting, and operational readiness. • Database and procedural development experience, including PL/SQL, and strong data modeling concepts. • Familiarity with responsible AI practices, governance controls, and security considerations specific to AI systems. Apply tot his job