• Architect, develop, and scale automation frameworks, integrations and agentic workflows across Mozilla’s workplace technology ecosystem — including collaboration tools, identity systems (SSO/IAM), and GenAI platforms (OpenAI, Claude, Gemini). • Lead end-to-end engineering of lifecycle workflows (onboarding, off-boarding, access provisioning) using APIs, event-driven architectures and intelligent agentic flows that reduce manual touchpoints and accelerate user access. • Build and maintain reusable libraries, connectors, SDKs and agent orchestration layers (e.g., virtual assistants, workflow agents, RAG + retrieval pipelines) that enable faster, safer AI-enabled productivity at scale. • Implement observability for agentic workflows and automations: define metrics (SLIs/SLOs), build dashboards, logging, alerts and proactively tune for reliability, security, cost-efficiency and adoption. • Partner with Security, Legal, and Privacy to embed DLP, data classification, and least-privilege access into automation and AI flows — ensure agentic capabilities respect governance, auditing, and compliance. • Lead evaluation, technical design, and production deployment of new tools and AI productivity platforms: architect integrations, define guardrails, pilot agentic features, measure adoption and user impact. • Mentor junior engineers and facilitate collaboration across teams: review design/code, establish best practices for building agentic systems, guide documentation and champion a shared automation culture. • Collaborate cross-functionally with IT, Security, Finance, People Ops and Workplace/Facilities to deliver secure, efficient, and scalable internal tools and workflows that empower users and optimize operations. • Drive innovation through prototyping next-gen agentic services (for example: intelligent enterprise search assistants, document-to-action bots, contextual collaboration agents) to increase productivity and reduce friction.