We are seeking a highly skilled Senior AI Platform Engineer to serve as a technical leader and architect responsible for designing, building, and evolving Guardian's enterprise AI Platform.

This role will provide architecture leadership across the AI platform stack, spanning:

• Experience Plane – AI developer experience, SDKs, AI Studio, agent builder frameworks, developer portals and reusable platform assets
• Control Plane – AI governance, policy enforcement, guardrails, evaluation frameworks, AI registry, observability, and FinOps
• Execution Plane – Agent runtimes, LLM inference, orchestration frameworks, MCP services, AI gateways, RAG infrastructure and production operations

The ideal candidate is a hands-on architect capable of defining platform standards, building reusable capabilities, solving complex engineering challenges, and driving enterprise adoption of AI and Agentic technologies.

Required

• 7+ years of AI Platform Engineering experience.
• 3+ years designing cloud-native distributed platforms.
• 3+ years architecting AI/ML or GenAI platforms.
• Proven experience building enterprise-grade platform capabilities.

Preferred

• Experience building Control Plane architectures.
• Experience with enterprise-scale AI governance.
• Experience supporting production GenAI workloads.
• Experience building AI platforms within regulated industries.

Cloud & Platform Engineering

• AWS
• EKS / Kubernetes
• Serverless Architectures
• Infrastructure as Code
• Terraform
• GitHub Actions
• CI/CD Platforms

AI Platform Technologies

• AWS Bedrock
• Model Gateways
• Vector Databases
• RAG Architectures
• AI Studio Platforms
• Agent Runtime Platforms
• API Gateways

Observability & Operations

• Splunk
• CloudWatch
• OpenTelemetry
• AppDynamics
• Monitoring & Alerting
• LLMOps
• AgentOps