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Hi MarleyHi Marley

Principal AI Platform Engineer

Build the AWS-based AI Operations platform that hosts, governs, and secures Hi Marley’s internal agents and tools. The role requires principal-level systems expertise, deep AWS and identity authorization knowledge, production LLM experience, and strong product and communication skills.

About the job

Responsibilities

  • Build and own the AWS hosting, deployment, and infrastructure-as-code layer for internal AI agents and tools using Amazon Bedrock, Amazon Cognito, and CDK or Terraform.
  • Design and build accountability, agent, tool, and application registries and catalogs for agentic governance.
  • Implement identity inheritance and authorization patterns using Cognito, IAM, scoped tokens, and least-privilege design.
  • Create templates, SDK helpers, deployment paths, observability, and cost-tracking capabilities for internal agent builders.
  • Partner with Compliance and IT on security scans, audits, MCP governance hooks, and DLP signals.
  • Evangelize the platform through documentation, presentations, demos, lunch-and-learns, and office hours.
  • Use AI-assisted development tools in daily engineering workflows.

Requirements

  • Deep AWS expertise, including Bedrock, Cognito, IAM, EventBridge, Lambda, DynamoDB or Postgres, and infrastructure as code with CDK or Terraform.
  • Experience architecting multi-tenant AWS platforms.
  • Strong identity and authorization knowledge, including OAuth 2.1, scoped tokens, role inheritance, and least-privilege design.
  • Product-oriented approach to developer experience, SDKs, and registry schemas.
  • Production experience shipping LLM-backed systems, with understanding of token cost, latency, evaluation, observability, and determinism.
  • Familiarity with Model Context Protocol or comparable agent-tool patterns and their security boundaries.
  • Ability to write Python, TypeScript, or Go fluently.
  • Excellent communication skills with engineers, executives, and customers.
  • Judgment to apply AI thoughtfully and responsibly.

Nice to Have

  • Experience with AgentCore, SageMaker, or Workshop Studio.
  • Experience shipping MCP servers.
  • Experience with Cursor, Claude Code, or other agentic coding tools.

Compensation & Benefits

  • Annual base salary: $152,000–$283,000 USD.
  • Equity grants for all employees.
  • 4% matching 401(k) program.
  • Medical, dental, vision, disability, and life insurance for employees working 30+ hours per week.
  • Monthly wellness stipend.
  • Paid parental leave.
  • Flexible vacation policy.

Skills

Aws Bedrock, Amazon Cognito, Aws Iam, Amazon Eventbridge, AWS Lambda, Amazon Dynamodb, Postgres, Aws Cdk, Terraform, Oauth 2.1, Scoped Tokens, Model Context Protocol, Python, TypeScript, Go

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