Senior Solution Architect, Data & AI

Responsibilities: Define and refine data and AI architecture designs to support analytics, AI/ML, and agent-based use cases Design and review platform components for AI/ML and agent solutions, including model management, feature stores, vector/graph databases, metadata management, and orchestration Collaborate with business partners, data engineers, data scientists, and analysts to translate requirements into architectural blueprints and implementation plans Enable AI-ready data architecture with discoverable, trusted, structured data and governance integration Perform hands-on architectural implementation and validation to de-risk designs Lead architecture governance reviews and maintain standards, reference patterns, and architecture decision records Engage with cross-functional teams as a technical advisor on options, risks, and tradeoffs Create and update architecture diagrams, standards, and reference materials for reuse and consistency Evaluate tools and patterns for active initiatives and inform near-term and future decisions Identify opportunities to simplify designs and modernize platform approaches

Key requirements: 8+ years of experience in data, solution, or enterprise architecture Strong experience with modern data platforms, cloud infrastructure, analytics ecosystems, and agent-based systems Experience architecting solutions across structured and unstructured data, including real-time and sensor data (e.g., IIoT, geospatial, drone data) Hands-on experience on modern data platforms (Databricks, Snowflake, Azure Data Services, or similar) Hands-on experience enabling AI/ML and agent-based solutions (model management, agent orchestration, lifecycle considerations) (e.g., LangChain, AutoGen, Semantic Kernel, Microsoft AI Foundry) Strong communication and stakeholder engagement skills Stakeholder management Collaborative problem-solving Clear communication Databricks Snowflake Azure Data Services