AI Platform Engineer IV
Job Overview
Skills & Requirements
Python
Essential skill for this role
Teams
Essential skill for this role
Infrastructure
Essential skill for this role
GDPR
Essential skill for this role
Qualifications & Education
Qualifications
Experience in regulated industries (e.g., financial services) and navigating governance, risk, and compliance for AI Familiarity with AI-specific observability tools Experience with agent orchestrators, agent-to-agent communication, and multi-agent systems Exposure to AI guardrails and responsible AI frameworks (e.g., explainability, bias detection) Experience with cost optimization and FinOps for AI/ML workloads Familiarity with Agile and DevSecOps practices in AI/ML environments Southern California Base Salary Range: $153,965-$246,344 New York Base Salary Range: $163,212-$261,139
About the Role
AI Platform Engineer IV
Curated brief to help you tailor your application.
Role Overview
Start by showing recruiters you understand the team's mission and environment.
“I can succeed as an AI Platform Engineer at Capital Group.”
As an AI Platform Engineer, you will design, build, and operate the foundational components of Capital Group’s enterprise AI platform, enabling secure, scalable, and responsible development and deployment of advanced AI and agentic solutions. You will work across the full stack—from data ingestion and vector databases to orchestration, agent frameworks, and user-facing APIs—empowering teams to deliver innovative AI-powered experiences.
You will collaborate with security, FinOps, and engineering peers, as well as data scientists and ML engineers, to deliver robust, enterprise-ready AI capabilities. Your work will span the integration of cloud-native services, orchestration frameworks, agentic architectures, and responsible AI guardrails. You will play a critical role in the design and implementation of solutions based on the Model Context Protocol (MCP) and AI Gateway patterns.
“I am the person Capital Group is looking for.”
Skills Snapshot
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