Principal AI Platform Engineer

Insurance touches people during some of the most challenging moments in their lives. Hi Marley is on a mission to transform how the P&C industry communicates, making those moments faster, easier, and more empathetic for carriers and the customers they serve. We build AI-powered software that keeps everyone in the claims conversation informed and connected. If you believe insurance can combine operational excellence and automation with a human touch, we’d love to meet you. As we continue to grow, we're looking for a Principal AI Platform Engineer to be a foundational hire on our new AI Operations team. This is the engineer who builds the plumbing of our internal agentic workforce: the AWS hosting layer, the Cognito-backed identity model, the Accountability Registry that says who built what, the Agent Registry that governs who can act, and the Tool Catalog that lets our teams compose new capabilities safely. You'll partner with the CTO and a UX-focused builder to make Hi Marley an AI-native company from the inside — and you'll do it on a strict AWS stack because our customers are insurance carriers who need real auditability, not a wrapper. If you love AWS Bedrock at the depth where Cognito, IAM, and CDK meet, want to define how an entire company governs agents, and have the communication chops to evangelize a platform internally, this is the role for you. Teamwork and shared enthusiasm are a core part of our culture, which is why this role involves joining us in the Boston office for 2-3 days each week. What You'll Do: Build the AI Operations platform on AWS : Own the hosting, deployment, and infra-as-code layer for every internal agent and tool we run. Bedrock for models, Cognito for auth, CDK or Terraform for everything else. No third-party platforms — we are AWS-only by design. Architect the registries and catalogs : Design and build the Accountability Registry (people, ownership, roles), the Agent Registry (identity, permissions, data scope, audit trail), and the Tool & App Catalog (discover, register, approve). These are the spine of agentic governance at Hi Marley. Solve the identity-inheritance problem : An agent acts with the inherited permissions of the human who invoked it. You'll design and ship the patterns — Cognito + IAM + scoped tokens — that make this real, deterministic, and auditable. Build the developer experience for internal agent builders : Templates, SDK helpers, deploy paths, observability, cost tracking. Make it so that every Hi Marley team can ship their own agent without reinventing security or hosting. Partner on security tooling with our Compliance & IT lead : Implement the scans, audits, MCP governance hooks, and DLP signals that the AI Security Ops role will use. You build the rails; they build the gatekeeper. Evangelize the platform internally : Lunch-and-learns, internal docs, demo droplets, and "office hours" so other teams know what's available and how to use it. Communication and product instinct are as load-bearing as the AWS depth. Use AI in your daily flow : Cursor, Claude Code, agentic coding tools — your default question is "could an agent do this?" before you write the code yourself. What We're Looking For: A genuine curiosity about AI and emerging technologies, paired with the judgment to apply them thoughtfully and responsibly. Deep AWS expertise : You can architect a multi-tenant platform on AWS without needing to outsource the hard parts. Bedrock, Cognito, IAM, EventBridge, Lambda, DynamoDB or Postgres, plus IaC (CDK or Terraform). Bonus: AgentCore, SageMaker, Workshop Studio. Identity & authorization fluency : You've built systems where authorization is the architecture, not bolted on. OAuth 2.1, scoped tokens, role inheritance, least-privilege design — these are second-nature to you. Strong product instincts, not just infra : You think about the developer experience of the people consuming your platform. You can design an SDK or a registry schema that other teams actually want to