Staff Engineer AI Operations and Governance Workplace AI

Skills

About the Role

You will configure and operate AI platforms, models, routes, guardrails, policies, and integrations. You will maintain observability, secrets, access controls, production changes, technical evaluations, incident response, and operational documentation while translating technical signals into governance and risk views.

Requirements

• 4–7+ years of experience in platform engineering, DevOps, SRE, ML or AI operations, or technical SaaS operations.
• Fluency in APIs, integrations, infrastructure-as-code concepts, code, JSON, YAML, and automation.
• Experience with monitoring and observability tools, including logs, metrics, and alerts.
• Experience with AI or automation platforms such as LLM providers, AI productivity tools, or workflow engines.
• Experience with secure secrets management and access control practices.
• Ability to document technical work and decisions for technical and non-technical audiences.

Responsibilities

• Implement and maintain AI platform configurations, models, routes, guardrails, tenants, policies, role mappings, and prompt libraries.
• Design, configure, and maintain connectors and extensions to SaaS systems, data sources, and workflow tools.
• Set up and maintain logging, metrics, and alerts for AI workflows and tools.
• Implement secure storage and rotation for API keys, tokens, and credentials.
• Maintain access-control configurations and support security and IT reviews.
• Execute production model, policy, prompt, version, and rollout changes with change records and rollback paths.
• Run experiments and benchmarks for models, tools, and configurations.
• Translate logs, metrics, and incidents into risk, reliability, and compliance views.
• Co-author operational playbooks, runbooks, and training materials.
• Triage, investigate, mitigate, resolve, and document incidents and changes.

Benefits

• Bonus
• Equity