Senior Engineer, Agentic Engineering Governance, Open Source
New
C
College BoardEducation technology
Source API remote eligibility restrictions: United StatesFull-TimeSenior
Salary153,000 - 166,000 USD per year
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Job Details
- Experience
- 5+ years of experience with Infrastructure as Code, CI/CD framework, immutable infrastructure, automation, orchestration, and other modern DevOps patterns
- Required Skills
- AWSPythonCI/CDDevOps
Requirements
- 5+ years of experience with Infrastructure as Code, CI/CD frameworks, immutable infrastructure, automation, orchestration, and modern DevOps patterns.
- Hands-on experience with AI coding agents or assistants such as Claude Code, GitHub Copilot, Cursor, or Windsurf, or other LLM-based developer tooling.
- Experience with LLM platforms and APIs such as Anthropic Claude or OpenAI, including agent orchestration and tool-use concepts such as function calling and MCP.
- Understanding of AI/LLM security considerations, including prompt injection, data exfiltration, permission scoping, and sandboxing.
- Experience establishing technical standards, guardrails, or review processes across an engineering organization, in responsible AI governance or an adjacent discipline such as security.
- Technical knowledge of cloud computing, DevOps, and microservices, with strong experience in distributed cloud infrastructure; AWS is preferred.
- Experience building event-driven cloud-based serverless applications.
- Strong background in a language such as Python, JavaScript, React.js/Node.js, or Java.
- Excellent communication, collaboration, and documentation skills, including presenting AI governance topics to non-technical stakeholders.
- Experience supporting developers as internal customers, gathering requirements and feedback, and earning adoption of standards.
Responsibilities
- Design and implement guardrails, permission models, and policy-as-code controls for AI coding agents.
- Build and maintain tooling for sandboxing, audit logging, and rollback of agent-driven code and infrastructure changes.
- Automate the infrastructure lifecycle and create and support internal tools using IaC and CLIs.
- Evaluate and pilot agentic programming tools, frameworks, and protocols, and recommend adoption approaches.
- Establish organization-wide standards, guardrails, and acceptable-use policies for agentic and AI-assisted software development.
- Partner with Security, Legal/Compliance, and Architecture Review stakeholders to assess risks and approve use cases.
- Author documentation, playbooks, and governance frameworks for developers using AI coding assistants.
- Mentor team members and deliver training and office hours on safe, effective, and compliant use of agentic coding tools.
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