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Staff AI Platform Engineer: Agent & Retrieval Infrastructure

bedrockoceanRemoteSoftware Team
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Salary
$160K- $220K
Job type
Full-time
Work mode
Remote
Experience
Senior · 8+ yrs
Posted
13 Sept 2026
Status
Open · checked 7d ago

About this role

Remote is the location for this remote Staff AI Platform Engineer role at bedrockocean, which suits an experienced infrastructure professional focused on agent and retrieval systems. The position involves designing the architecture for AI agents, retrieval pipelines, and security infrastructure to support autonomous underwater vehicle data operations.

Role Overview

This is a full-time remote position leading the AI architecture and platform infrastructure at bedrockocean. The role suits a pragmatic engineer with strong staff-level technical leadership who wants to build the foundation for autonomous agents, data pipelines, and developer tooling.

Key Responsibilities

Architect agent orchestration including Amazon Bedrock integration, action groups, backend APIs, and cross-environment deployment.
Manage the retrieval data plane from ingestion and chunking to embedding and storage in Amazon OpenSearch Serverless.
Extend data pipelines to handle internal knowledge, ocean data, and customer platforms with a focus on geospatial and large-binary datasets.
Implement security for AI infrastructure using Bedrock Guardrails, VPC and PrivateLink boundaries, least-privilege IAM, and audit trails.
Define agent governance mechanisms to enforce approval boundaries and monitor autonomous actions.
Establish LLMOps and observability using CloudWatch, Langfuse, or Phoenix for tracing and retrieval performance.
Build infrastructure for automated evaluations and release gates.
Enable engineering productivity by providing abstraction layers, SDKs, and self-service environments.
Manage environments as code across all stages and participate in incident reviews.

Requirements

8+ years in software and infrastructure engineering with production backend experience in Python, TypeScript, or Go, and staff-level ownership.
Hands-on production experience standing up Amazon Bedrock agents, knowledge bases, guardrails, and model access.
Experience deploying containerized services on ECS, EKS, or Lambda with owned CI/CD.
Practical RAG and vector search experience operating managed vector databases like OpenSearch Serverless, Pinecone, or pgvector at scale.
Experience building ingestion pipelines over messy, heterogeneous, unstructured sources with focus on freshness and correctness SLAs.
AWS ecosystem expertise including IAM, VPC, Lambda, S3, KMS, CloudWatch, and infrastructure as code tools like Terraform, CDK, or CloudFormation.
Production LLM exposure moving features or autonomous agents past the prototype stage.
Experience designing developer-facing APIs, SDKs, or platform services and multi-tenant services with isolation guarantees.

Nice to Have

Experience deploying LLM evaluations as a release gate.
Involvement in AI red-teaming or the AI security community.
Experience with GraphRAG or knowledge graphs.
Experience running retrieval over geospatial, scientific, or large-binary datasets.
Experience with intermittent or unreliable links like store-and-forward and hub-and-spoke topologies.
Compliance experience such as SOC 2 or handling government and defense customer data.
Background supporting data platforms, autonomous systems, or field operations.

Skills and Tools

Amazon Bedrock
Amazon OpenSearch Serverless
Python
TypeScript
Go
AWS (ECS, EKS, Lambda, S3, KMS, CloudWatch, VPC, PrivateLink, IAM)
Terraform
CDK
CloudFormation
Langfuse
Phoenix
Pinecone
pgvector

Salary and Benefits

Salary range: $160,000 to $220,000

About the Company

Bedrock Ocean builds and operates autonomous underwater vehicles to collect georeferenced ocean-floor data at a commercial scale, delivering bathymetry and imagery data products to customers.

How to Apply

Apply on the official company careers page.

Skills and tech stack

Amazon BedrockAmazon OpenSearch ServerlessPythonTypeScriptGoAWSECSEKSLambdaS3KMSCloudWatchVPCPrivateLinkIAMTerraformCDKCloudFormationLangfusePhoenixPineconepgvectorLLMRAGFine-tuning

Questions candidates ask

What is the primary focus of the Staff AI Platform Engineer?

The role owns the AI architecture, creating the infrastructure for AI agents, orchestration layers, data and retrieval pipelines, and security models.

What is the salary range for this position?

The salary is between $160,000 and $220,000.

What cloud platform and services are primarily used?

The role relies heavily on Amazon Bedrock, Amazon OpenSearch Serverless, and various AWS services including Lambda, S3, KMS, CloudWatch, VPC, and PrivateLink.

Is remote work supported?

Yes, the location for this position is remote.

How many years of experience are required?

Candidates must have 8+ years in software and infrastructure engineering.

Ready to apply?

The application is on the official bedrockocean careers page.

Apply on company site