Solution Architect - GenAI, Data & Applications (US)

About the role

Design end-to-end solutions across enterprise data, software and GenAI for client engagements, translating business requirements into practical architectures and building prototypes to validate key decisions. Work directly with clients to lead discovery, evaluate GenAI patterns (including RAG, tool calling and agent orchestration), define security and monitoring approaches, and create reusable architectures and accelerators for delivery teams.

Responsibilities

• Lead client discovery workshops
• Evaluate GenAI patterns such as RAG, tool calling, and agent orchestration
• Define security and monitoring approaches for solutions
• Create reusable architectures and accelerators for delivery teams

Requirements / Skills

• Solution Architecture
• Data Modeling
• System Design
• Integration Patterns
• API Design
• Cloud Platforms
• GenAI
• Agentic Workflows
• Conversational Analytics
• AI-enabled Decision Platforms
• Python
• TypeScript
• Prototyping
• Data Engineering
• Pipeline Design
• ETL/ELT
• Software Engineering Fundamentals
• Testing
• Security
• CI/CD
• LLM-powered Applications
• Retrieval-Augmented Generation
• Tool Calling
• Agent Orchestration
• Model Integration
• Embeddings
• Vector Search
• Model Evaluation
• Observability
• AWS (Amazon Web Services)