MLOps Engineer - Agentic Platform
Core
Build and productize AI capabilities (RAG pipelines, model serving) as scalable, governed, developer-friendly services for an Agentic Platform in the insurance domain.
Role type
Experienced MLOps Engineer
Builds
Reference MLOps stack, CI/CD pipelines, model serving topologies, and evaluation/monitoring systems for AI agents and models.
Domain
Insurance technology, Agentic AI, MLOps
Deliverable
infrastructure
Required skills
MLOps, SRE, platform engineering, production ML/AI workloads, enterprise CI/CD, multi-env release management, IaC, cloud networking (Azure/AWS), model evaluation/monitoring, SLO management
Preferred skills
Databricks MLflow, Kubernetes/Seldon, ArgoCD, Crossplane, Istio, Knative, Opensearch, Prometheus, Grafana, agentic AI evaluation, RAG observability, multi-cloud operations, Unity Catalog
Technologies
Databricks, MLflow, Mosaic, Kubernetes, Seldon, Unity Catalog, Azure, AWS, ArgoCD, Crossplane, Istio, Knative, Opensearch, Prometheus, Grafana
Responsibilities
Define reference MLOps stack (CI/CD, serving topologies, monitoring); Own CI/CD standards and environment promotion; Standardize serving topologies with SLOs; Implement evaluation and monitoring (drift, quality, telemetry); Integrate governance-by-design (lineage, policies, audit evidence); Operate platform to SLOs (incident response, capacity planning, cost optimization)
Seniority
Experienced, hands-on IC
