AI Ops - AI/ML Engineer

About this role

FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!

The Opportunity

We're building the AI engine behind root cause analysis for a platform that supports over 100 enterprise customers — this role owns everything from the vector database to the confidence scoring that decides whether an engineer gets notified automatically or a human steps in.

What You'll Contribute

• Design and operate the pgvector schema across all collections (past incidents per tenant, runbooks, operational context, CI/CD change events), owning indexing strategy, query performance tuning, and strict data isolation across 100+ tenants with zero cross-tenant leakage.
• Build and maintain embedding pipelines that convert operational documents into searchable vector representations, selecting embedding models and designing chunking strategies for structured JSON, unstructured prose, and time-series data types.
• Build the RAG retrieval layer that runs at incident time, tuning relevance thresholds, re-ranking strategies, and hybrid (dense and sparse) search to surface the most contextually relevant documents per collection.
• Design the full ingestion lifecycle, including runbook imports, historical incident backfill, CI/CD post-deploy event hooks, and the feedback loop that embeds resolved incidents back into the vector database.
• Design and iterate the prompt that assembles Grafana's stateless RCA, live signal data, and RAG-retrieved context into a single input, instructing Claude to reason across evidence types and produce a structured, actionable RCA readable in under 30 seconds.
• Define and maintain the JSON schema for RCA output (root cause, confidence score, contributing factors, immediate actions, SLA impact, precedent reference, escalation path) and build the Pydantic validation layer that catches schema violations before del...