Sr AI Architect

Senior AI Architect (10+ YOE) Must-Have Experience in enterprise architecture; 3+ years on Gen-AI/AI/ML governance, Responsible AI, or model-risk programs Hand-on experience in GenAI, AgenticAI, multi-agen models, LangChain, LangGraph, LangSmith, RAGAS, DeepEvals Hands-on with at least three of: Azure AI Content Safety, Azure Purview, Microsoft Defender for Cloud, Entra ID (RBAC/Conditional Access), Azure Monitor + Log Analytics, Application Insights/OpenTelemetry LLM observability tooling exposure: Azure AI Foundry Evaluations, or equivalent Reliability patterns for multi-step agent workflows: timeouts, retries, circuit breakers, idempotency keys, fallback routes, dead-letter queues Governance documentation: runbooks, operating guides, and playbooks Good to Have Hands-on enterprise compliance/ethics review (not just advisory) Prior Microsoft Foundry governance blueprint authoring HITL workflow design using Microsoft Teams approvals, Adaptive Cards, oe Power Automate ; ability to spec escalation triggers and SLAs Key Responsibilities Define, Design & Imeplement GenAI, AgenticAI architecture, workflows Design reliability patterns for multi-step agent workflows (timeouts, retries, and fallbacks) and reflect these in architecture artifacts and runbook guidance Author the governance + HITL operating model: monitoring, logging, bias/drift detection, escalation matrices, audit evidence, and runbooks Define RBAC (Entra ID groups, Snowflake roles), policy guardrails, and ethical safeguards across agentic workflows Drive deliverable acceptance through walkthroughs, dashboards, and traceable evidence within the 10-business-day Acceptance Review Period Partner with customer’s governance, risk, and compliance stakeholders to translate policies into practical guardrails and documented controls