Architect, Agentic Databases & AI Data Plane

You will own the data plane architecture — the Postgres engine, storage, query execution, WAL handling, extensions— and you will drive the Technical PoC that proves the design against live customer workloads. Define the end-to-end technical architecture of the Agentic Database data plane: Postgres engine configuration, storage model, WAL strategy, MVCC handling, extension framework, and the five Agent Services layered on top.Make the foundational architectural calls on shared-storage vs. local-storage, separation of compute and storage, branching and copy-on-write semantics, and how Postgres extensions interact with the custom storage layer.Own the technical trade-off decisions — consistency vs. availability, performance vs. cost, scaling limits, durability guarantees — and document them clearly enough that engineering teams can execute without re-litigating them.Design the integration architecture between the Agentic Database and Teradata Fabric, Teradata Context Engine, and the Enterprise MCP/AgentStack platform, including CDC pipelines from the operational layer to Teradata's OLAP engine.TECHNICAL POC LEADERSHIP This role will be a technical bridge between the core Agentic Database team and adjacent platform teams, including Teradata Fabric, Context Engine, Enterprise MCP, and AgentStack, ensuring the data plane is designed as part of a broader AI-enabled enterprise architecture rather than as an isolated database component. 12+ years of industry experience designing, building, and operating large-scale distributed systems, databases, or cloud data infrastructure.Demonstrated ability to own an architecture end-to-end: from initial design through technical PoC, production launch, and post-launch iteration — with measurable outcomes at each stage.Experience building or evaluating high-availability, multi-tenant database systems in cloud environments, including the control plane concerns: automated failover, backup and restore, upgrade automation, and multi-tenant isolation.Comfortable functioning as both a problem solver and a problem finder: you shape the technical roadmap and identify what is not on it yet.Strong written and verbal communication — you can write a technical design document that engineers trust and an executive summary that leaders act on.BS/MS in Computer Science or a related field, or equivalent depth demonstrated through production work.AI & AGENTIC SYSTEMS AI-native working style: you use AI as a high-trust collaborator in your own engineering work, prototype faster because of it, and look for ways to make the systems you build more useful to AI agents.Practical understanding of agentic workload patterns: what makes them different from interactive OLTP (bursty parallelism, LLM-generated SQL, stateful session continuity, branch-on-demand isolation) and what database design decisions those patterns require.What You'll Bring