Senior Engineer, Agentic Engineering Governance, Open Source

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and develop guardrails, permission models, and policy-as-code controls for AI coding agents.

• Create solutions utilizing Agile methodologies, CI/CD practices, and DevOps principles.

• Develop and sustain sandboxing, audit logging, and rollback tools for changes driven by agents.

• Employ agentic coding tools within a diverse and agile development setting.

• Act as a subject matter expert in areas such as cloud networking, API integrations, infrastructure resiliency, cloud architecture, and agentic development methodologies.

• Automate infrastructure lifecycles and support internal Infrastructure as Code (IaC) tools using command-line interfaces (CLIs).

• Assess and experiment with new agentic programming tools, frameworks, and protocols, providing recommendations for their adoption.

• Collaborate with experts in Software Engineering, Security, Infrastructure, Network, Observability, and Operations.

• Contribute to the Cloud Engineering Program through innovative ideas and the implementation of tools and processes.

• Engage in Enterprise Architecture Reviews related to AI coding agents and agentic tools.

• Establish organization-wide standards, guardrails, and acceptable-use policies for agentic software development.

• Collaborate with Security, Legal/Compliance, and Architecture stakeholders to evaluate risks and approve use cases for AI coding agents.

• Investigate emerging technologies and propose safe, cost-effective, and adaptable solutions.

• Create documentation, playbooks, and governance frameworks.

• Take part in scrum ceremonies and peer reviews of software engineering outputs.

• Assist with production and production-like issues during daytime on-call rotations.

• Guide team members on the safe, effective, and compliant use of agentic coding tools.

• Design and present training materials and developer office hours.

• Lead technical initiatives and mentor technical personnel.

• Serve as a point of escalation for inquiries regarding AI coding tool policy and governance.

⛳️ Requirements

• Over 5 years of experience with Infrastructure as Code, CI/CD frameworks, immutable infrastructure, automation, orchestration, and contemporary DevOps practices.

• Extensive hands-on experience with AI coding agents or assistants such as Claude Code, GitHub Copilot, Cursor, or Windsurf.

• Familiarity with LLM platforms and APIs such as Anthropic Claude or OpenAI, including agent orchestration, function calling, and MCP.

• Knowledge of AI/LLM security factors including prompt injection, data exfiltration, permission scoping, and sandboxing.

• Proven experience in establishing technical standards, guardrails, or review processes within an engineering organization.

• Technical expertise in cloud computing, DevOps, and microservices.

• Strong experience in distributed cloud infrastructure, with a preference for AWS.

• Experience in developing event-driven, cloud-based serverless applications.

• Solid background in programming languages such as Python, JavaScript, React.js/Node.js, or Java.

• Exceptional communication, collaboration, and documentation abilities.

• Experience in supporting developers as internal clients and collecting requirements and feedback.

• Authorization to work in the United States for any employer.

• Clear and effective written and verbal communication skills.

• A curious mindset, willingness to explore AI-driven solutions, and the capacity to learn digital tools independently.

• A commitment to personal and professional growth.

• A collaborative and empathetic approach.

• A drive for impact and excellence.

🏝️ Benefits

• Fully remote or hybrid work options for candidates residing near College Board offices (in-office on Tuesdays and Wednesdays).

• Occasional business travel opportunities for in-person meetings.

• Comprehensive compensation and benefits package.

• Salary adjustments based on location.

• Open discussions regarding compensation and benefits.

• A meaningful career path and a supportive team environment.