GENAI Solutions Architect

Job Summary

Project Mission:

To serve as the chief technical authority for the project, designing a robust and scalable architecture that bridges the gap between the business vision and technical implementation. This role ensures the platform is built on sound engineering principles and aligns with long-term enterprise strategy.

Key Responsibilities:

• Design the end-to-end technical architecture for a generative AI-powered data analytics platform.
• Define the core data flow, including how user queries are processed, how context is retrieved (e.g., Retrieval-Augmented Generation), and how AI models are invoked.
• Make critical technology stack decisions, such as selecting the appropriate vector database, orchestration frameworks, and model integration patterns.
• Lead architectural reviews and deep-dive sessions with development teams to ensure a shared understanding of the technical design.
• Oversee the integration of all system components, including frontend applications, backend services, AI models, and underlying data sources.
• Ensure the architectural design correctly enforces enterprise security and compliance requirements, particularly regarding data access and authorization.
• Mentor development leads and provide technical governance throughout the project lifecycle.

Required Skills & Experience:

• Extensive experience as a Solutions Architect, with a focus on data platforms and cloud-native applications.
• Deep, hands-on expertise in Generative AI concepts, including RAG patterns, prompt engineering, embeddings, and frameworks (e.g., LangChain, LangGraph).
• Strong understanding of modern data architecture paradigms, such as Data Mesh, data warehousing, and data lakes.
• Expertise in containerization (Docker) and orchestration platforms (Kubernetes, OpenShift, GKE).
• Proven ability to communicate complex technical concepts to both technical and non-technical stakeholders.