Sr. Staff Enterprise AI Architect

This must include progressive software architecture and distributed systems engineering, with a minimum of 2+ years exclusively focused on production-grade generative AI, LLM orchestration, and autonomous agent deployment.

Deep, practical mastery of the Model Context Protocol (MCP) and its implementation for secure, universal enterprise tool calling.

Advanced expertise in multi-agent orchestration frameworks (e.g., LangGraph, CrewAI, Semantic Kernel) and transitioning from basic scripting to fault-tolerant system design.

Authoritative knowledge of vector databases (Pinecone, Weaviate, Milvus), hybrid search architectures (dense/sparse retrieval), and advanced RAG optimization techniques at scale.

Strong security engineering mindset with the ability to build deterministic guardrails, data masking, and identity management (Okta/OAuth/RBAC/ABAC) over non-deterministic systems.

Command of modern AI observability and MLOps, including CI/CD for non-deterministic systems and tracing tools like LangSmith.

As a senior architectural leader within the Enterprise AI Hub, you will design and implement scalable AI systems aligned to Reltio’s enterprise AI strategy.

You will partner with the Director, Enterprise AI to evolve the foundational architecture that enables secure, governed agentic workflows across the organization—helping to engineer the “Reltio Brain” (our Context Intelligence Operating System).

In this role, you will evaluate cloud AI platforms, orchestrate vector databases, and help build the Model Context Protocol (MCP) gateways that securely connect AI to our corporate ecosystem.

You will spend a meaningful portion of your time working directly with specialized AI Engineers to build the foundational primitives ("building blocks") that empower embedded AI Business Partners to innovate safely and rapidly.