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Staff AI Platform Engineer: Agent & Retrieval Infrastructure

Bedrock Ocean Exploration· Software Team
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Remote$160k - $220kFull-timePosted 1mo ago

About the role

Staff-level platform engineer focused on designing and implementing the AI agent orchestration, retrieval infrastructure, and security model for Bedrock Ocean's Amazon Bedrock integration and production AI capabilities.

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.

Qualifications

  • 8+ years in software and infrastructure engineering, including deep production backend experience (Python or TypeScript preferred, Go fine) and staff-level ownership of technical direction.
  • Hands-on experience standing up Amazon Bedrock in production: agents, knowledge bases, guardrails, model access, and the throughput and quota decisions that come with them.
  • Containerized service deployment on ECS, EKS, or Lambda, with CI/CD you have owned rather than inherited.
  • Practical RAG and vector search experience: embeddings, chunking strategies, semantic search quality, and operating a managed vector database at production scale and cost.
  • Real data engineering: ingestion pipelines over messy, heterogeneous, unstructured sources with emphasis on freshness and correctness as SLAs.
  • Strong AWS ecosystem expertise: IAM roles and least privilege for machine identities, VPC networking and PrivateLink, Lambda, S3, KMS, CloudWatch, and IaC (Terraform, CDK, or CloudFormation).
  • Production LLM exposure: moved LLM features or autonomous agents past prototype into production environments.
  • Security-minded on agent systems: scoping tool permissions, prompt injection and exfiltration risk, sensitive data handling in retrieval, and human-in-the-loop considerations.
  • Experience designing developer-facing APIs, SDKs, or platform services with an API-first mindset.
  • Experience building and operating multi-tenant services with isolation guarantees.
  • Platform instinct and technical leadership at staff level: architectural direction across teams through influence.
  • Pragmatic builder bias toward fully managed infrastructure when possible.

Skills

Required:Amazon BedrockBackend development (Python/TypeScript)Containerized deployments (ECS/EKS/Lambda)RAG and vector databasesAWS ecosystem (IAM, VPC, PrivateLink, S3, KMS, CloudWatch)Security and governance for AI systemsAPIs/SDKs for developersMulti-tenant platform design
Last updated Sep 17, 2026. Interested? Apply on the company site.
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About Bedrock Ocean Exploration

Reimagining the seafloor data collection experience.

Bedrock is building smarter, more efficient ways to collect and manage seafloor data.

geophysicalseafloor dataautonomous underwater vehiclesmarine surveyocean mappinggeophysical surveys
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