Principal AI Platform Engineer

Join Hi Marley, a fast-growing startup in the insurance industry, as a Principal AI Platform Engineer. In this role, you will build the foundation of our internal AI operations, partnering with the CTO and a UX-focused builder. You will own the hosting, deployment, and infrastructure-as-code layer for every internal agent and tool we run, design and build key registries and catalogs, and solve the identity-inheritance problem. You will also build the developer experience for internal agent builders, partner on security tooling, evangelize the platform internally, and use AI in your daily flow. This role requires deep AWS expertise, excellent communication skills, and a strong understanding of identity and authorization.

• Construire la plateforme d'opérations d'IA sur AWS, en possédant l'hébergement, le déploiement et la couche d'infrastructure en tant que code pour chaque agent interne et outil.
• Architecturer les registres et catalogues, en concevant et en construisant le Registre de responsabilité, le Registre des agents et le Catalogue des outils et applications.
• Résoudre le problème de l'héritage d'identité, en concevant et en expédiant les modèles qui rendent cela réel, déterministe et auditable.
• 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
• Excellent communicator: You can present platform work to engineers, executives, and customers, and write docs people actually read. This role only succeeds if the rest of the company knows what's available
• MCP / agentic systems literacy: Familiarity with Model Context Protocol or comparable agent-tool patterns. You don't have to have shipped an MCP server, but you should be able to talk credibly about why MCP exists and what its security boundaries are
• 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
• AI-forward: You've shipped real LLM-backed systems in production — not just prototypes — and have opinions about token cost, latency, evaluation, observability, and where determinism matters vs. where it doesn't
• 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 use
• Architectural integrity over framework hype: You'd rather build the right primitive on AWS than reach for a "magical" higher-level abstraction. You can write Python, TypeScript, or Go fluently — the language matters less than the systems thinking
• A genuine curiosity about AI and emerging technologies, paired with the judgment to apply them thoughtfully and responsibly