AI Solutions Architect / Enterprise Architect

• Lead architecture and design of enterprise-scale AI-enabled applications, agent-based workflows, and cloud-native platforms.
• Define solution architecture, architecture principles, technology standards, and governance frameworks across multiple projects.
• Design and deliver AI/LLM-powered solutions including agent orchestration, prompt management, retrieval-augmented generation (RAG), and multi-step workflow automation.
• Architect Python-based backend services, API integrations, asynchronous processing frameworks, and scalable microservices.
• Develop solution roadmaps, target-state architectures, technical platforms, and reusable architecture assets.
• Conduct architecture reviews, technical audits, design assessments, and non-functional requirement validation.
• Evaluate current-state business, application, data, and technology architectures to identify modernization opportunities.
• Define cloud-native deployment strategies, security architecture, CI/CD pipelines, observability, resiliency, and operational excellence practices.
• Create proof-of-concepts, reference architectures, design patterns, and enterprise solution blueprints.
• Provide technical leadership for complex engagements, consulting initiatives, and architecture governance activities.

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, or related discipline.
• Master's degree preferred., * Enterprise Architecture and Solution Architecture for large-scale distributed systems.
• Python application development and backend engineering.
• AI/LLM application architecture, prompt engineering, structured output validation, and agent orchestration frameworks.
• Retrieval-Augmented Generation (RAG), vector databases, semantic search, embeddings, indexing, and retrieval pipelines.
• REST APIs, enterprise integrations, API gateways, and service-oriented architectures.
• AWS cloud services, IAM, cloud security, scalability, resiliency, and infrastructure best practices.
• Microservices architecture, event-driven architecture (EDA), SOA, and distributed systems design.
• CI/CD pipelines, DevOps practices, environment management, and deployment automation.
• Observability platforms, logging, metrics, distributed tracing, performance tuning, and incident analysis.
• Architecture governance, design reviews, technical audits, and non-functional requirements management.
• Architecture frameworks and methodologies including TOGAF, Zachman, N-Tier Architecture, and Integration Architecture.
• SDLC methodologies including Agile and traditional delivery models.
• System integration, application architecture, data architecture, security architecture, and capacity planning.
• Design patterns, software architecture principles, and enterprise application modernization.
• Requirements analysis, solution modeling, estimation, technical consulting, and roadmap development.
• React application integration and modern web application architecture., * Multi-agent AI systems and supervisor/sub-agent workflow architectures.
• Knowledge graph, contextual retrieval, caching, and AI application optimization techniques.
• Enterprise consulting, pre-sales solutioning, and proposal development.
• Creation of architecture accelerators, reusable assets, white papers, and technical thought leadership content.
• Multi-vendor ecosystem architecture and large-scale digital transformation initiatives.
• Architecture certification such as TOGAF, AWS Certified Solutions Architect, or equivalent

The Fountain Group is currently seeking an AI Solutions Architect / Enterprise Architect for a prominent client of ours. This position is located in Irvine, CA, Onsite/Hybrid. Details for the position are as follows