Staff AI Platform Engineer: Agent & Retrieval Infrastructure

Bedrock Ocean builds and operates autonomous underwater vehicles that collect georeferenced ocean-floor data and delivers bathymetric and imagery data products through its platform. The Staff AI Platform Engineer will lead the architecture and infrastructure for AI agents on Amazon Bedrock, including orchestration, retrieval pipelines, security, governance, observability, evaluation frameworks, and developer-facing tools.

Responsibilities:

• Architect Agent Orchestration: Design the Amazon Bedrock integration, including agent and action group configuration, backend APIs, model access, throughput, and cross-environment deployment
• Manage Retrieval Data Plane: Own the end-to-end retrieval pipeline from ingestion and chunking to embedding and storage in Amazon OpenSearch Serverless. Focus on optimizing for index design, cost, and capacity
• Extend Data Pipelines: Adapt ingestion pipelines for internal knowledge, ocean data, and customer platforms, addressing challenges specific to geospatial and large-binary datasets
• Secure AI Infrastructure: Implement robust security including Bedrock Guardrails, VPC and PrivateLink network boundaries, least-privilege IAM, and audit trails to ensure data isolation
• Define Agent Governance: Build the mechanisms to enforce approval boundaries for autonomous actions, ensuring agents are safe and monitored
• Establish LLMOps & Observability: Implement comprehensive monitoring for tracing, tool calls, and retrieval performance, using CloudWatch and LLM-specific tools like Langfuse or Phoenix
• Build Evaluation Frameworks: Create the infrastructure to run automated evaluations, track results, and manage release gates for model accuracy
• Enable Engineering Productivity: Provide the team with abstraction layers, SDKs, and self-service environments that allow engineers to ship AI features independently
• Operational Excellence: Manage the environment as code across all stages, ensuring deployment safety and participating in incident reviews