Senior AI Platform Engineer
Core
Design and operate the shared AI platform enabling inference services, agentic platforms, and developer tooling for a financial services firm.
Role type
Senior AI Platform Engineer
Builds
Managed LLM inference services, MCP registries/gateways, authorization services, and AI productivity dashboards
Domain
Financial services / AI Infrastructure
Deliverable
production ML models | infrastructure
Required skills
AWS Bedrock, Azure OpenAI, MCP (Model Context Protocol) architecture, LLM production workloads, AI security controls, agentic AI patterns (RAG, function calling), platform engineering
Preferred skills
Financial services experience, Microsoft M365 Copilot, observability pipelines (Splunk, ELK, Datadog, Grafana), Kubernetes, model fine-tuning
Technologies
Amazon Bedrock, Azure OpenAI, Linux VDI, M365/Excel, VPC, PrivateLink, Kubernetes
Responsibilities
Design and operate core AI platform infrastructure including inference services and model access management; Build self-service onboarding and cost management systems; Partner with security to embed controls preventing destructive agent actions; Define reference architectures for agentic AI patterns
Seniority
Senior, hands-on IC