Application Guide
How to Apply for Staff AI Platform Engineer: Agent & Retrieval Infrastructure
at Bedrock Ocean Exploration
🏢 About Bedrock Ocean Exploration
Bedrock Ocean is a robotics and ocean-data company deploying autonomous underwater vehicles (AUVs) to collect georeferenced seafloor data at commercial scale. Unlike traditional survey firms, they operate their own fleet and data platform, aiming for continuous, months-long data collection campaigns that are more affordable and eco-conscious. This is a rare chance to build AI infrastructure that directly supports ocean exploration and a growing customer data platform.
About This Role
As the Staff AI Platform Engineer, you will own the entire AI architecture on Amazon Bedrock, from data chunking and retrieval pipelines to orchestration and IAM security. You'll build the internal tooling and abstractions that enable other engineers to ship AI features independently. This is a high-impact, hands-on role that blends software engineering, data engineering, and infrastructure operations in a domain where reliability and scale are critical.
💡 A Day in the Life
You might start by reviewing the performance of the previous night's retrieval pipeline, then pair with a data engineer to refine chunking strategies for new seafloor imagery. Later, you'll design IAM policies for a new agent that accesses customer data, and in the afternoon, you'll prototype an internal tool that lets product engineers deploy AI features without deep infrastructure knowledge. Expect frequent collaboration with robotics and data teams to ensure the AI platform scales with the growing AUV fleet.
🚀 Application Tools
🎯 Who Bedrock Ocean Exploration Is Looking For
- Deep experience with Amazon Bedrock or similar LLM orchestration platforms, including building production-grade agents and retrieval-augmented generation (RAG) systems.
- Strong background in data engineering: designing chunking strategies, vector databases, embedding pipelines, and handling georeferenced or sensor data.
- Proven ability to design secure, scalable cloud infrastructure on AWS, with hands-on IAM, VPC, and security best practices for AI workloads.
- Comfortable owning end-to-end platform architecture and mentoring other engineers, with a track record of shipping internal developer tools that accelerate AI feature development.
📝 Tips for Applying to Bedrock Ocean Exploration
Highlight any experience with Amazon Bedrock specifically—mention concrete projects where you built agents, orchestration layers, or retrieval pipelines on Bedrock.
Show familiarity with oceanographic or geospatial data: even if you haven't worked in marine tech, demonstrate how you've handled large, georeferenced datasets and built retrieval systems for them.
Emphasize your ability to build platform abstractions that other engineers use; provide examples of internal tools or frameworks you've created that reduced time-to-market for AI features.
Address the security and IAM aspects directly: describe how you've implemented fine-grained access controls and secure data handling in AI/ML pipelines.
Acknowledge the name confusion between Amazon Bedrock and Bedrock Ocean in a lighthearted way if you write a cover letter—it shows attention to detail and a sense of humor.
✉️ What to Emphasize in Your Cover Letter
['Your hands-on experience architecting AI platforms on Amazon Bedrock, including orchestration, retrieval, and security.', "How you've enabled other engineers by building reusable tools and abstractions for AI development.", 'Your approach to handling large-scale, georeferenced data and designing retrieval pipelines that work with production data.', "Why you're excited about applying AI infrastructure to ocean exploration and supporting continuous, autonomous data collection."]
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → Learn about Bedrock Ocean's AUV technology and the types of data they collect (bathymetric, imagery) to understand the scale and nature of the data you'd be working with.
- → Read about Amazon Bedrock's features, limitations, and best practices for building agents and retrieval systems, as this is the core platform.
- → Explore the challenges of ocean data processing, such as georeferencing, data volume, and real-time vs. batch processing, to speak intelligently about domain-specific needs.
- → Check Bedrock Ocean's recent news, funding, or customer case studies to understand their growth stage and technical priorities.
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Being vague about your experience with Amazon Bedrock—this role requires deep, specific knowledge, so avoid generic 'cloud AI' statements.
- Ignoring the data engineering side: focusing only on model orchestration without addressing chunking, retrieval, and data pipelines will make you seem unprepared.
- Overlooking security and IAM: many AI engineers treat security as an afterthought, but this role explicitly owns the security model, so failing to discuss it is a red flag.
📅 Application Timeline
This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.
Typical hiring timeline:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!
Ready to Apply?
Good luck with your application to Bedrock Ocean Exploration!