Senior AI Platform & Tools Engineer

About the role

Join our team, and help us shape the future of anime! As a Senior AI Platform & Tools Engineer, you build the platform, automation, and tooling that the rest of AI Enablement runs on — and you operate the enterprise AI tools the whole company relies on.

Responsibilities

• Build the AI evaluation platform: automated tooling that runs structured evals (capability, cost, latency, behavior, reliability) at scale rather than as manual, one-off reviews
• Instrument usage and cost telemetry across the approved AI stack: token usage, seat utilization, vendor spend, and drift detection on approved tools
• Automate AI Governance: intake triage, scoring pipelines, approval routing, and policy-as-code enforcement, integrated with Glean agents and JSM workflows
• Develop golden-path templates, reference architectures, and reusable components - RAG patterns, agent scaffolding, prompt libraries, eval harnesses - that the Build & Partner team ships on
• Administer and configure Crunchyroll's approved enterprise AI tools, including ChatGPT, Glean, Claude, and Gemini; manage settings, access patterns, feature enablement, and operational changes in partnership with IT and Security
• Track new feature releases and product changes across approved AI tools, assess whether Crunchyroll should adopt them, and drive rollout so employees get maximum use and value
• Build medium-complexity agents and workflows for non-technical teams using approved AI platforms, ensuring they comply with AIEN standards for security, governance, maintainability, and measurement
• Partner with the AI Security Engineer to bake required controls, detection, and prevention into the platform, so security is enforced at the platform level rather than bolted on per project
• Operate as a generalist on a small team - own features end-to-end from design through production, and help establish the engineering patterns the team will scale on

Requirements

• 6+ years of software or platform engineering, including building tools or services used by other engineers
• Hands-on experience administering, configuring, or supporting enterprise SaaS tools, AI platforms, or internal productivity platforms in a production business environment
• Strong software engineering skills (e.g., Python, plus Go/TypeScript or similar) - you ship production-quality tooling, not just prototypes
• Experience building automation, data pipelines, or internal developer tooling
• Experience building practical AI agents, assistants, or workflow automations for business users, including requirements gathering, prompt/workflow design, testing, rollout, and iteration
• Previous work owning features end-to-end on a small team - design, build, ship, iterate
• Clear written communication - your tools and docs need to be adopted by other engineers

Preferred

• Experience building developer platforms, ML platforms, or eval/observability tooling consumed by other teams
• Experience using and managing enterprise AI tools such as ChatGPT Enterprise, Glean, Claude, Gemini, or similar platforms
• Experience evaluating vendor feature releases and translating them into adoption recommendations, configuration changes, or governance controls
• Hands-on experience with RAG pipelines, agent frameworks, prompt orchestration, or eval harnesses
• Familiarity with policy-as-code, workflow automation (e.g., JSM), or governance/approval tooling
• Cloud experience (AWS/GCP/Azure) and CI/CD for AI/ML workloads
• Familiarity with AI-specific risk vectors (prompt injection, data poisoning, output reliability) - security is owned by a partner role, but the platform you build is where detection and prevention live
• Exposure to AI governance and regulatory frameworks (NIST AI RMF, ISO 42001, EU AI Act, GDPR/CCPA)
• Awareness of IP and content rights in media and entertainment

Pay

The Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance.